In today's rapidly evolving business landscape, the implementation of an efficient ERP system has become imperative for industries across the board.

The process industry, manufacturing sector, and a plethora of other sectors, including fleet management to construction, chemicals to automobiles, and even trading industries, have been reaping the benefits of adopting the innovative eresource ERP solution.
Simply put, ERP has emerged as the go-to solution for overcoming the challenges of the market and driving business growth and success.


## What is an ERP System?

An Enterprise Resource Planning (ERP) system is a software application used to manage and integrate a company's core business processes such as finance, accounting, supply chain management, and human resources. 

In today's dynamic business landscape, companies are recognizing the need to modernise their Enterprise Resource Planning (ERP) systems to stay competitive and drive operational efficiency. 

Modernising ERP systems can lead to significant improvements in core enterprise functions, helping businesses streamline processes, reduce costs, and enhance overall performance. 

A modern ERP system also provides real-time information and insights that help companies optimise their business processes and make results-driven business decisions.
By streamlining business processes and enhancing operational efficiency, ERP can revolutionise the way companies operate. 

This article aims to shed light on the several crucial characteristics that Small and Medium Enterprises (SMEs) should prioritise when selecting an advanced ERP system. 

The following points are worth considering:

- **Cloud-based**: When selecting a modern ERP solution for a business, it is highly recommended to opt for a cloud-based platform. This feature allows SMEs to avoid the hassle and expense of software updates, while also providing affordability, all of which can significantly enhance return on investment.
- **Automation**: A modern ERP software should prioritise the automation and optimization of business operations. It should offer a streamlined and effective means of managing different processes and automating routine tasks, eliminating data silos and improving overall efficiency.
- **Scalability and flexibility**: One crucial aspect that SMEs must consider when selecting a modern ERP system is its scalability and flexibility. It is imperative to ensure that the chosen ERP system can efficiently adapt to both present and future requirements of the business. This includes providing data-driven resources that align with the organisation's objectives and meet its annual goals. By incorporating a scalable ERP system, the business can future-proof its operations by enhancing its agility.
- **Analytical Capabilities**: Modern ERP systems should possess analytical capabilities that offer deep insights into data through advanced analytics. These systems should be able to provide accurate and detailed information in real-time, enabling decision-makers to make informed decisions quickly. With the help of artificial intelligence, the latest ERP systems are equipped with advanced visualisation tools that present data in a more comprehensible format, such as graphics and charts. These analytical capabilities allow businesses to identify trends, patterns, and potential issues that might impact the company's performance. The integration of analytical tools into an ERP system can help a business to improve its operations and drive growth by providing key insights and identifying opportunities for optimization.
- **Mobile Support**: The cloud-based ERP system should be mobile-supportive, allowing real-time accessibility to information and strengthening business communications with improved response timings. An accurate and easily accessible app-based dashboard allows decision-makers to check ongoing workflows, processes, and expenditures in data form and store data, thus avoiding prolonged interruption.

![erp – 1.jpg](https://backend.habilelabs.io/uploads/erp_1_da4fb88c1d.jpg)

- **Boost Customer Relationships**: Modern Cloud ERP solutions must provide businesses with a powerful tool to enhance customer relationships by facilitating superior customer service. This is achieved through the provision of reliable and timely information to customers, coupled with the prompt delivery of goods, which can help to engender trust and loyalty among customers. Moreover, a modern ERP system can greatly enhance business productivity by incorporating advanced automation features that reduce the likelihood of human error and the need for redundant data entry. By streamlining and optimising routine tasks, employees are afforded the opportunity to focus on higher-value activities, thereby further enhancing overall productivity. By doing so, ERP solutions help organisations cut down on operational costs and increase efficiency, ultimately driving the productivity and success of the business.
- **Integration with Existing Systems**: A modern cloud ERP system must seamlessly integrate with the existing business processes and operations. A robust integration module can simplify the CIOs’ responsibility to shift or connect with the existing ERP to promote more functionalities, multiple task holdings, and building strategy. They can easily align the entire business process and optimise functionalities across departments in a shorter time frame.
- **Adaptive Towards Upgrades**: It is imperative for modern ERP systems to be adaptive toward upgrades, and the latest offerings are proficient in handling advancements with ease. The upgraded ERP systems are designed to incorporate continuous updates, thus ensuring enriched functionalities and new features to meet the evolving business needs. This adaptability toward upgrades serves as a significant advantage for businesses seeking to stay ahead in a dynamic market.
- **Top-notch Security Measures**: A modern, cloud-based, and cohesive software-as-a-service model ERP system must provide high-security measures for data management and accessibility. 
With data breaches becoming more prevalent, investing in modern ERP systems helps companies safeguard sensitive information and maintain compliance with data protection regulations. Modern ERP systems have evolved into all-encompassing solutions that empower CIOs to control and manage the entirety of their organisation's operations. Securing access to these systems is now a critical imperative, and multilayered authentication has become obligatory to establish a robust defence against unauthorised entry. 
An advanced ERP system should incorporate role-based security protocols that ensure secure access to functionality and data. This feature allows for individual lines of business and international operations to be managed on a country-by-country basis, thereby minimising the risk of data breaches and other security threats. This, in turn, enables businesses to achieve greater efficiency, improve their bottom line, and ultimately attain sustainable growth.
- **Future-ready Software**: The software should align with the business model. The functionalities must be aligned by keeping a vision of five years ahead as technology and business models advances. Also, maintaining compliance with constantly evolving regulations can be a challenging task for any business. However, the latest ERP solutions are equipped to address this challenge effectively. With their automated updates, these systems take the hassle out of compliance by keeping businesses up-to-date with any changes in regulations. This ensures that an organisation's system remains fully compliant at all times, enabling smooth tax filing and helping you fulfil your compliance obligations without any concerns.
- **Supports Multi-Currency**: A cutting-edge ERP solution should be equipped with the ability to support multiple currencies, exchange rates, and associated fees. This ensures that the system can track payment dates and seamlessly reconcile any discrepancies that may arise due to fluctuating exchange rates and the shifting values of currencies and inventory.


By considering the above factors, SMEs can make better decisions about their ERP investments and improve their crucial business processes. Modern ERP systems can help organisations remove data silos, provide real-time information, and improve overall business processes.

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Modern ERP System

What should SMEs look for in a modern ERP system?

MoSCoW is a prioritization technique commonly used in Agile and Scrum methodologies to categorize requirements into four distinct categories:
_Must have, Should have, Could have, and Won't have. _

It helps teams prioritize and manage requirements based on their importance and urgency. 

Here's a guide to mastering MoSCoW for prioritizing requirements:


- **Must have**: These are the requirements that are crucial for the success of the project or product. They are considered as the highest priority and must be delivered to meet project goals and objectives. 
Must have requirements are typically directly aligned with business objectives, customer needs, or regulatory requirements. These requirements are non-negotiable and should be prioritized and addressed first to ensure project success.
- **Should have**: These are the requirements that are important but may not be critical for the immediate success of the project. They are considered as the second-highest priority and should be addressed after Must have requirements. 
Should have requirements are typically important for customer satisfaction, product usability, or competitive advantage. These requirements can be addressed after Must have requirements are fulfilled, but still, hold significant importance.
- **Could have**: These are the requirements that are desirable but not critical for the success of the project. They are considered as the third-highest priority and can be addressed after Must have and Should have requirements are fulfilled. 
Could have requirements are typically nice-to-have features, enhancements, or optimizations that can add value to the project but are not essential for its success. These requirements can be prioritized and addressed based on available resources and timelines.
- **Won't have**: These are the requirements that are explicitly determined not to be included in the current scope of the project. They are considered as the lowest priority and will not be addressed in the current release or iteration. 
Won't have requirements are typically out of scope, not feasible, or not aligned with the project goals. These requirements are explicitly communicated and agreed upon with stakeholders, and they should not be considered for immediate prioritization or implementation.

![moscowFeature2.jpg](https://backend.habilelabs.io/uploads/moscow_Feature2_b7bcb5a341.jpg)

### Here are some tips for effectively using the MoSCoW prioritization technique:


- **Involve stakeholders:** Collaborate with key stakeholders, including business owners, users, and team members, to collectively assign MoSCoW categories to requirements.This ensures that priorities are aligned with the needs and expectations of stakeholders. Their insights and feedback can provide valuable inputs on the importance and urgency of requirements.
- **Regularly review and update:** Periodically review and update the MoSCoW categories for requirements as the project progresses, priorities evolve, and new information becomes available. Priorities may change over time, so it's important to revisit and reassess them regularly.
- **Focus on Must have and Should have:** Prioritize the Must have and Should have requirements first, as they are critical and important for the solution's functionality and success. This ensures that the minimum set of requirements is addressed before considering the less critical Could have and Won't have requirements.
- **Communicate and document:** Clearly communicate the MoSCoW categories assigned to requirements to all relevant stakeholders, and document the prioritization decisions and rationale behind them for future reference and transparency.
- **Keep it flexible:** MoSCoW is a flexible prioritization technique that allows for adjustments based on changing circumstances, feedback from users, and evolving project needs. Be open to re-prioritizing requirements as needed to ensure that the project stays aligned with business objectives.

## Optimizing Product Backlogs and Project Scope
By using MoSCoW prioritization, teams can optimize their product backlogs and project scope by:


- **Ensuring focus on the most critical items:** By prioritizing Must have items first, teams can ensure that the core functionality and primary objectives of the solution are addressed as a priority, leading to a viable product or project.
-** Managing secondary functionality effectively:** Should have items provide an opportunity to address important but not critical requirements or features, enhancing the value of the solution without compromising the core functionality.
- **Managing resources efficiently:** Could have items allow teams to allocate resources to higher priority items first, and address desirable but not necessary requirements or features if time and resources permit.
- **Managing scope effectively:** Won't have items help teams explicitly exclude certain requirements or features from the current release or sprint, preventing scope creep and ensuring that the project stays aligned with its intended scope.
- **Providing transparency and alignment:** MoSCoW prioritization allows teams to clearly communicate the priorities of requirements or features to all relevant stakeholders, ensuring transparency and alignment on what will be addressed in the current release or sprint.
- **Enabling flexibility:** MoSCoW prioritization is a flexible technique that allows for adjustments as the project progresses, priorities change, and new information becomes available, providing teams with the flexibility to adapt and optimize their product backlog or project scope based on evolving needs.

## MoSCoW Prioritization :Pros and Cons
The MoSCoW prioritization technique, which stands for Must have, Should have, Could have, and Won't have, has several pros and cons:


### Pros of MoSCoW prioritization:
- **Clear prioritization:** MoSCoW provides a simple and intuitive framework for categorizing requirements based on their priority levels. It helps project teams to clearly identify and communicate which requirements are most critical for the success of the project, and which are less urgent or optional.
- **Focus on critical requirements:** MoSCoW allows teams to prioritize and focus on the Must have requirements, which are essential for meeting project goals and objectives. This ensures that the most important requirements are addressed first and reduces the risk of scope creep or delays in delivering critical functionality.
- **Flexibility in prioritization:** MoSCoW provides flexibility in prioritizing Should have and Could have requirements based on available resources, timelines, and project constraints. It allows teams to adapt and adjust priorities based on changing project dynamics or stakeholder feedback.
- **Stakeholder alignment:** MoSCoW facilitates discussions and negotiations with stakeholders to align on the priority levels of requirements. It helps in managing stakeholder expectations and building consensus on the most critical requirements that need to be addressed first.

![moscowFeatue1.jpg](https://backend.habilelabs.io/uploads/moscow_Featue1_8b350d4286.jpg)

### Cons of MoSCoW prioritization:


- **Subjectivity in prioritization:** MoSCoW relies on subjective judgment and interpretation of priority levels by project team members and stakeholders. This can sometimes result in differing opinions or biases in prioritizing requirements, leading to potential conflicts or misalignment.
- **Lack of granularity:** MoSCoW categorizes requirements into broad priority levels, which may not provide enough granularity for complex projects or products. It may not capture nuances or dependencies between requirements, resulting in potential gaps or overlaps in prioritization.
- **Potential neglect of Could have requirements:** Could have requirements, which are desirable but not critical, may be overlooked or deprioritized in favor of Must have and Should have requirements. This can result in potential missed opportunities for adding value to the project or product.
- **Limited focus on long-term vision:** MoSCoW prioritizes requirements based on immediate project needs, which may not always align with long-term strategic vision or business goals. This can result in potential misalignment between short-term and long-term priorities, leading to suboptimal outcomes in the long run.


## Conclusion
By using the MoSCoW rule, project teams can prioritize requirements effectively, focus on delivering the most critical and valuable requirements, and ensure project success by aligning with business goals, customer needs, and project constraints.

It helps in optimizing the project scope, managing stakeholder expectations, and delivering value incrementally, leading to a successful project outcome. However, it also has limitations in terms of subjectivity, lack of granularity, and potential neglect of non-critical requirements. 

Project teams should carefully consider the pros and cons and adapt the MoSCoW technique to suit their specific project context and requirements.

Mastering MoSCoW: Prioritizing Requirements in Agile Methodologies

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Mastering MoSCoW: A Guide to Prioritizing Requirements in Agile Methodologies

As a Salesforce Admin, you're always looking for ways to improve your workflow and be more efficient. While you're probably familiar with many of the standard Salesforce tools, there are some lesser-known apps and features that can help streamline your work even further. 
Here are five of them:
### 1.Field Trip:
Field Trip is a Salesforce app that helps you analyze and manage the fields in your Salesforce org. The app scans your org and identifies fields that are not being used, as well as fields that are being used frequently. This information can be incredibly useful for Salesforce Admins who want to streamline their org, improve performance, and make their data more manageable.
With Field Trip, you can generate detailed reports that provide insights into your org's data usage. These reports can help you identify areas of your org that may need cleanup or optimization. You can also use Field Trip to analyze the usage of fields and objects, and to identify fields that may be causing performance issues. Field Trip is incredibly easy to use. You can install the app from the Salesforce AppExchange, and it integrates directly with your org. Once installed, you can run scans of your org to identify
unused fields, and generate reports that provide insights into your data usage.


Some of the key features of Field Trip include:
- Scan your org to identify unused fields
- Analyze the usage of fields and objects
- Generate reports that provide insights into your data usage
- Identify fields that may be causing performance issues
- Integrate directly with your Salesforce org

Overall, Field Trip is a valuable tool for Salesforce Admins who want to manage their org's data more effectively. By using Field Trip, you can streamline your org, improve performance, and make your data more manageable.
Field Trip is a powerful app that scans your Salesforce org to identify unused fields. This can be incredibly helpful for cleaning up your org and making it easier to navigate. You can also use Field Trip to analyze the usage of fields and objects, and to generate reports that provide insights into your org's data.
Utilize this app when you want to streamline your Salesforce org by cleaning up unused fields or analyzing usage of fields and objects. This is particularly helpful when you inherit a Salesforce org from another admin or when you want to streamline your current org.

### 2.Metadata API:
The Metadata API is a powerful tool provided by Salesforce that allows you to manage and deploy metadata, such as custom objects, fields, workflows, and more, across your Salesforce orgs. Metadata is essentially the configuration information of your Salesforce org, and the Metadata API provides a programmatic interface to access and manipulate this information.
Using the Metadata API, you can retrieve metadata components from your org and create, update, or delete them programmatically. You can also deploy metadata changes across different orgs, such as from a development sandbox to a production org, or between two production orgs.


Some of the key features and benefits of the Metadata API include:
- Automate the deployment of metadata changes between different Salesforce orgs
- Ability to retrieve, create, update, or delete metadata components programmatically, without the need for manual configuration in the Salesforce UI
- Support for various metadata types, such as Apex classes, Visualforce pages, Custom objects, Custom fields, Workflow rules, and more
- Ability to create and manage metadata records in bulk, which can save time and reduce manual errors.
- Ability to retrieve metadata in a package format, which can be useful for version control and managing multiple changes simultaneously
- To use the Metadata API, you need to have a Salesforce Developer account, and you need to create a connected app in your org to enable access to the API. You can also use various Salesforce-supported tools, such as the Force.com IDE, Workbench, or the Salesforce CLI, to interact with the Metadata API.


Overall, the Metadata API is an essential tool for Salesforce Admins and Developers who want to automate the deployment and management of metadata changes across different Salesforce orgs. 
By using the Metadata API, you can save time, reduce manual errors, and improve the efficiency of your development and deployment processes.
The Metadata API allows you to retrieve and deploy metadata between different Salesforce environments, such as between a sandbox and a production org. This can save you a lot of time and effort when setting up new environments or making changes to your org.
Utilize this tool when you want to deploy metadata between different Salesforce environments, such as when you want to set up a new sandbox environment or when you need to make changes to your production org. This is also helpful when you have complex metadata that is
difficult to deploy manually.

### 3.Process Builder:
Process Builder is a Salesforce automation tool that allows you to create automated business processes and workflows without the need for coding. With Process Builder, you can automate complex processes that require multiple actions and trigger them based on certain conditions and events in your Salesforce org.
Using Process Builder, you can create processes that perform a wide range of actions, such as creating records, updating fields, sending emails, posting to Chatter, or calling Apex classes. You can also schedule actions for specific times and set criteria for when the process should or should not run.

Some of the key features and benefits of Process Builder include:
- Easy-to-use, drag-and-drop interface that allows you to create processes without coding
- Ability to automate complex processes that require multiple actions and trigger them based on specific conditions and events
- Support for a wide range of actions, including creating records, updating fields, sending emails,posting to Chatter, and calling Apex classes
- Ability to schedule actions for specific times and set criteria for when the process should or should not run
- Integration with other Salesforce automation tools, such as Workflows and Flow


Process Builder can be used in various scenarios, such as automating lead qualification processes, automating account creation and updating, sending alerts or notifications when certain conditions are met, and much more. It is a powerful tool that can help you streamline your business processes and increase your productivity as a Salesforce Admin.


To use Process Builder, you need to have a Salesforce account with the necessary permissions to create and manage processes. You can access Process Builder from the Setup menu in Salesforce, and create new processes using the drag-and-drop interface.
Overall, Process Builder is a valuable tool for Salesforce Admins who want to automate their business processes and workflows without the need for coding. By using Process Builder, you can save time, reduce manual errors, and increase the efficiency of your Salesforce org.

While many Admins are familiar with Salesforce's workflow automation tool, Flow, fewer may know about Process Builder. This tool allows you to automate complex processes with a simple drag-and-drop interface. You can use it to trigger actions based on record changes, schedule actions for specific times, and more.
Utilize this tool when you want to automate complex processes that require multiple actions or when you want to schedule actions for specific times. This is particularly helpful when you have complex business rules or when you want to automate repetitive tasks.


### 4.Lightning App Builder:
Lightning App Builder is a powerful Salesforce tool that allows you to create custom user interfaces and pages for your Salesforce org without the need for coding. With Lightning App Builder, you can customize your Salesforce pages to fit your business needs and make them more user-friendly and intuitive for your users.


Using Lightning App Builder, you can create custom pages and components by dragging and dropping pre-built or custom Lightning components onto your page canvas. You can also customize the layout, style, and branding of your pages, and add custom actions and buttons to them.


Some of the key features and benefits of Lightning App Builder include:

- Easy-to-use drag-and-drop interface that allows you to create custom pages and components without coding
- Ability to customize the layout, style, and branding of your pages to fit your business needs
- Support for a wide range of pre-built and custom Lightning components, such as charts, tables,forms, and more
- Ability to add custom actions and buttons to your pages to automate your business processes and workflows
- Integration with other Salesforce tools, such as Lightning Experience, Salesforce Mobile App, and Community Cloud
- Lightning App Builder can be used in various scenarios, such as creating custom home pages for your users, creating custom dashboards, creating custom object pages, and much more. It is a powerful tool that can help you enhance the user experience in your Salesforce org and make
it more efficient and productive.


To use Lightning App Builder, you need to have a Salesforce account with the necessary permissions to create and manage custom pages and components. You can access Lightning App Builder from the Setup menu in Salesforce, and create new pages and components using the drag-and-drop interface.
Overall, Lightning App Builder is a valuable tool for Salesforce Admins who want to create custom user interfaces and pages for their Salesforce org without the need for coding. By using Lightning App Builder, you can enhance the user experience in your Salesforce org, improve productivity, and streamline your business processes.
If you're still creating custom Salesforce pages using Visualforce, you may want to check out the Lightning App Builder. This tool allows you to create custom pages and components using a drag-and-drop interface. You can also use it to customize standard pages and components.
Utilize this tool when you want to create custom pages and components using a drag-and-drop interface. This is particularly helpful when you want to customize standard pages and components or when you want to create custom pages quickly.

![Salesforce Efficiency-f1.jpg](https://backend.habilelabs.io/uploads/Salesforce_Efficiency_f1_cea2141da8.jpg)

### 5.Salesforce Inspector:
Salesforce Inspector is a browser extension that allows you to inspect and debug your Salesforce org from within your browser. With Salesforce Inspector, you can quickly and easily view the details of any Salesforce record, object, or field, and make changes to them in realtime.
Using Salesforce Inspector, you can perform a wide range of actions, such as querying records, updating fields, creating new records, and deleting records. You can also view and debug Apex code, debug JavaScript, and troubleshoot issues with your Salesforce org.


Some of the key features and benefits of Salesforce Inspector include:

- Ability to inspect and debug your Salesforce org from within your browser
- Support for a wide range of actions, such as querying records, updating fields, creating new records, and deleting records
- Ability to view and debug Apex code, debug JavaScript, and troubleshoot issues with your Salesforce org
- Integration with other Salesforce tools, such as Developer Console, Workbench, and Lightning App Builder
- Support for multiple orgs and environments, including production, sandbox, and developer orgs

Salesforce Inspector can be used in various scenarios, such as troubleshooting issues with your Salesforce org, debugging Apex code, updating records in real-time, and much more. It is a powerful tool that can help you save time, increase productivity, and improve the overall
performance of your Salesforce org.
To use Salesforce Inspector, you need to install the browser extension and log in to your Salesforce org. You can then access Salesforce Inspector from the browser toolbar and start inspecting and debugging your Salesforce org.
Overall, Salesforce Inspector is a valuable tool for Salesforce Admins and Developers who want to inspect and debug their Salesforce org from within their browser.
By using Salesforce  Inspector, you can save time, increase productivity, and improve the performance of your Salesforce org.
Salesforce Inspector is a Chrome extension that allows you to view and edit Salesforce data directly in your browser. This can be incredibly helpful for debugging and troubleshooting, as well as for making quick changes to your org's data without having to navigate to different pages.
Utilize this Chrome extension when you want to view and edit Salesforce data directly in your browser. This is particularly helpful when you need to quickly make changes to your org's data without navigating to different pages or when you need to debug and troubleshoot issues.


## Conclusion
Salesforce is a powerful CRM platform that offers a wide range of tools and features to help businesses manage their customer relationships more effectively. As a Salesforce admin, it is important to stay up-to-date with the latest Salesforce admin tools and technologies to ensure that you are making the most of your Salesforce investment and delivering the best possible experience to your users.
The 5 lesser-known Salesforce admin tools we discussed can help you streamline your workflow, save time, and increase your productivity. Field Trip can help you better understand the data model of your Salesforce org, Metadata API can help you automate deployment and migration of metadata, Process Builder can help you automate your business processes and workflows, Lightning App Builder can help you create custom user interfaces and pages, and Salesforce Inspector can help you inspect and debug your Salesforce org.


By leveraging these tools, you can enhance the user experience in your Salesforce org, improve productivity, and streamline your business processes. So, take the time to explore these tools and incorporate them into your Salesforce admin toolkit to stay ahead of the curve and achieve
your business goals.

Maximize Your Salesforce Efficiency with 5 Lesser-Known Admin Tools

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Maximize Your Salesforce Efficiency with These 5 Lesser-Known Admin Tools

An adaptable and flexible strategy is necessary in the constantly changing field of mobile app development. Development teams must operate successfully and efficiently if they are to meet the frequently shifting market demands and remain competitive.


Agile Framework is one of the most excellent techniques for creating mobile applications. The Agile Framework is an incremental and iterative method of developing software that focuses on teamwork, adaptability, and continuous improvement. Its flexibility in adapting to shifting consumer expectations and market demands has revolutionized software development and emerged as the preferred methodology for mobile apps.
This comprehensive handbook will cover all the information you require on the Agile Framework and Agile project management.


## Knowledge of the Agile Framework

The Agile Framework is a collaborative, adaptable, and iterative method for creating software that places a focus on continuous improvement. It enables software development teams to produce high-quality software more quickly and effectively while also adjusting to shifting market
demands and customer expectations.

Four core values form the foundation of the Agile Framework:
- Persons and relationships over procedures and tools: This value underlines how crucial communication and interaction with others are to the software development process. It encourages teams to put flexible processes and tools second to face-to-face contact and cooperation.
- Functional software above thorough documentation: This value prioritizes producing usable software that satisfies customer demands over producing copious documentation. Provide software instead of wasting time on activities that don't directly affect deliveries.
- Customer involvement during contract negotiations: Teams are encouraged to work together with customers throughout the development process as a result. When it comes to determining needs, ranking jobs, and making necessary adjustments in response to client input, collaboration may help everyone get on the same page.
- Responding to change versus sticking to a plan: Being flexible and adaptable to shifting client wants and market expectations are essential to agile development. Teams are encouraged to embrace change and to continuously enhance their software and procedures in order to adapt to the demands of the market.

## Agile Framework for Mobile App Development: Advantages

The Agile Framework offers mobile app development teams a number of advantages, including:
- More cooperation and dialogue
- More adaptability and flexibility
- A quicker time to market
- Lessening the danger of project failure
- Enhanced client satisfaction


Agile approaches provide a strong emphasis on teamwork, client interaction, and communication, which improves comprehension of project objectives and specifications. This encourages software development teams to be flexible and adaptable, enabling them to react swiftly to shifting client and market demands.
Agile techniques also put a lot of emphasis on producing usable software in brief iterations, which accelerates time to market and allows for prompt feedback integration. In addition to guaranteeing that the program satisfies client needs, this lowers the risk of project failure.


![internalMobile.jpg](https://backend.habilelabs.io/uploads/internal_Mobile_6cd3844a27.jpg)

In the end, Agile development puts the client at the center of the development process,resulting in software that is more likely to meet their needs and expectations, leading to an increase in client satisfaction.

## Using Agile in the Development of Mobile Apps


A change in perspective and an openness to adapt are necessary for using Agile in the development of mobile apps. The following steps will assist you in successfully using the agile framework:

- Clearly state the project objectives and specifications for your mobile app.
- To understand Agile and become accustomed to the concept, start small with a doable assignment.
- Assemble a cross-functional team of stakeholders, testers, designers, and developers.
- Implement your desired methodology using Agile technologies (like Scrum, Kanban, and Lean).
- Include the client in the creation process to guarantee that their requirements and expectations are met.
- Promote interaction and cooperation among team members by holding frequent meetings.
- Focus on producing functional software in a few iterations.


### Prominent Agile Project Management Approaches For Mobile App Development

Teams can produce software using a variety of Agile project management approaches found inside the Agile Framework. There are advantages and disadvantages to each Agile project management technique.

Teams should select the methodology that best suits their needs and objectives. It's also important to keep in mind that the Agile Framework is distinct from Agile project management approaches.
These approaches are essentially more particular ways to execute the Agile Framework. The software development process is managed using a specific set of procedures, job descriptions, and tools for each methodology.


1. **Scrum** - Transparency, inspection, and adaptation are the cornerstones of
Scrum, a well-liked Agile project management methodology. The framework is designed to help teams develop and deliver high-quality software in short
iterations, called sprints. With daily stand-up meetings and frequent
retrospectives to pinpoint areas for improvement, Scrum emphasizes the value of teamwork.
2. **Lean**- Continuous Improvement, maximization of customer value, and waste minimization are the main goals of the Lean-Agile project management methodology. It’s structured to help teams find and reduce inefficiencies across the software development process. With metrics to track development, lean management emphasizes the value of continuous improvement while assisting in the delivery of that value to the customer.
3. **Kanban** - Kanban is highly focused on ideas connected with visualizing work, restricting work in progress, and managing flow. 
The methodology helps teams visualize and manage their work, and to improve the overall workflow throughout the project. Kanban also follows the importance of continuous improvement with retrospectives to identify where teams can get better.


## Wrapping Up!


An efficient framework for mobile app development, agile development has many advantages. This entails greater client satisfaction, enhanced flexibility, expedited time to market, and lower risk of project failure.

Teams can produce high-quality software that satisfies consumer wants and changes with the needs of the market by incorporating Agile into the development of mobile apps.
Teams should adhere to the best practices discussed in this guide in order to
successfully apply Agile to the development of mobile apps. 
Examples include establishing cross-functional teams, setting communication and collaboration as top priorities, and using Agile tools and methodologies.

Agile Methodology for the Development Of Mobile Apps

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Agile Methodology For The Development Of Mobile Apps

Fintech is a term used to describe the application of technology to financial services. The term "fintech" is derived from the combination of the words "finance" and "technology". 
Fintech companies use technology to provide innovative solutions to traditional financial services, such as banking, lending, investing, payments, and insurance.

AWS (Amazon Web Services) offers a wide range of cloud computing services that can provide significant benefits to fintech companies. 

Here are some of the main reasons why fintech companies may choose to use AWS:


- Security: Security is of utmost importance in the fintech industry, and AWS provides a high level of security features that are designed to meet the strict compliance requirements of the financial industry.
- Scalability: Fintech companies often need to scale their infrastructure rapidly to accommodate fluctuating demand. AWS offers a scalable and flexible infrastructure that allows companies to easily expand or contract their resources as needed.
- Cost-efficiency: AWS provides a cost-effective solution for fintech companies, as they can pay only for the services they use and avoid the capital expenses of setting up and maintaining their own data centres.
- Reliability: AWS provides a highly reliable infrastructure that is designed to minimize downtime and ensure the availability of critical services.
- Innovation: AWS offers a wide range of services and tools that enable fintech companies to innovate and create new products and services more quickly and efficiently.


Overall, AWS offers a powerful set of tools and services that can help fintech companies to grow, innovate, and succeed in a highly competitive and regulated industry.

Below is the list of AWS services that are widely used among FinTech companies.

## - S3
Amazon S3 (Simple Storage Service) is a scalable, high-speed, low-cost web-based service designed for online backup and archiving of data and application programs. 

It allows to upload, store, and download any type of files up to 5 TB in size. This service allows the subscribers to access the same systems that Amazon uses to run its own web sites. The subscriber has control over the accessibility of data, i.e., privately/publicly accessible.

## - ECS
To understand Amazon ECS, you first have to understand Docker.
Docker is a client-server application that can be installed on Linux, Windows, and MacOS and that allows you to run Docker containers. 


Containers are lightweight environments containing everything needed to run a specific application or part of an application. Multiple different containers can be run on one machine, so long as it has the Docker software installed.


Using Docker containers allows teams to have a consistent development environment by abstracting away the software, operating system, and hardware configuration into a standard building block that can be run on any machine.


Amazon Elastic Container (Amazon ECS) is an AWS cloud service used for managing containers. Using Amazon ECS, developers can run their apps on the cloud without configuring an environment to run the code.
With the help of AWS accounts, deployment and management of scalable apps can be done by running them on a group of servers called clusters via API and task definitions. It can be accessed through AWS Management Consoles and SDKs.

### Why Amazon ECS?
With ECS the services can run seamlessly because ECS manages containers the applications can run in a highly available mode, that is, if something goes wrong then some other container gets found, and then the application runs in that container. There is a very minimal chance of your application going down.

## - Aws Lambda
AWS Lambda is a serverless and event-driven compute service.
So, before proceeding we must understand serverless and event-driven.

>
Serverless: The term "serverless" typically pertains to applications that operate without the need for server provisioning or server management. 

These applications are commonly referred to as "serverless applications".
AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. Therefore, you don’t need to worry about which AWS resources to launch, or how will you manage them.
Instead, you need to put the code on Lambda, and it runs.

How Lambda works:
1. First upload your AWS Lambda code in any language supported by AWS Lambda. Java, Python, Go, and C# are some of the languages that are supported by AWS Lambda function.
2. These are some AWS services which allow you to trigger AWS Lambda.
3. AWS Lambda helps you to upload code and the event details on which it should be triggered.
4. Executes AWS Lambda Code when it is triggered by AWS services
5. AWS charges only when the AWS lambda code executes, and not otherwise.

**IAM& KMS**:

The purpose of both IAM and KMS is to provide strong security controls that help protect AWS resources and data. 
IAM helps to manage user access and permissions, while KMS provides encryption key management to help secure sensitive data. 
By using these services, organizations can implement a strong security posture in the cloud and maintain control over their resources and data.

**IAM**:

Amazon Web Services (AWS) identity and access management is simply the IAM system that is built into AWS. By using AWS IAM, you can create AWS users and groups and grant or deny them access to AWS services and resources. AWS IAM is available free of charge.
AWS IAM service provides:
- Fine-grained access control to AWS resources
- AWS multi-factor authentication
- Analysis features to validate and fine tune policies
- Integration with external identity management solution

**KMS**:

WS Key Management Service (KMS) gives you centralized control over the cryptographic keys used to protect your data. The service is integrated with other AWS services making it easier to encrypt data you store in these services and control access to the keys that decrypt it.

![aws_finetech.jpg](https://backend.habilelabs.io/uploads/aws_finetech_96d3892e15.jpg)
 
 
## -  Amazon Kinesis
Before knowing about the Kinesis, you should know about the streaming data.


**What is data streaming?**


Streaming data refers to continuous, real-time data that is generated by a variety of sources and delivered to applications and users without delay. 

This data is typically unstructured and comes from a wide range of sources, including sensors, social media feeds, online transactions, and web logs
Kinesis is a platform on AWS that sends your streaming data. 

It makes it easy to analyse load streaming data and also provides the ability for you to build custom applications based on your business needs. Streaming data is data which is generated continuously from thousands of data sources, and these data sources can send the data records simultaneously and in small size.

Kinesis is a managed, scalable, cloud-based service that allows real-time processing of streaming large amount of data per second. It is designed for real-time applications and allows developers to take in any amount of data from several sources, scaling up and down that can be run on EC2 instances.

It is used to capture, store, and process data from large, distributed streams such as event logs and social media feeds. After processing the data, Kinesis distributes it to multiple consumers simultaneously.

Core Services of Kinesis:
- Kinesis Streams
- Kinesis Firehose
- Kinesis Analytics


## - AWS EMR
Amazon Elastic Map Reduce (Amazon EMR) is a web service that makes it easy to process large amounts of data quickly and cost-effectively.

Amazon EMR uses Hadoop, an open-source framework, to distribute your data and processing across resizable clusters of Amazon EC2 instances.

Using Map Reduce, a core component of the Hadoop software framework, developers can write programs that process massive amounts of unstructured data in distributed clusters of processors or standalone computers.

## - AWS SAGEMAKER
Amazon SageMaker is a cloud machine-learning platform that helps users in building, training, tuning and deploying machine learning models in a production ready hosted environment.

The SageMaker comes with a lot of built-in optimized ML algorithms which are widely used for training purposes. Now to build a model, we need data. We can either collect and prepare training data by ourselves or we can choose from the Amazon S3 buckets which are the storage service.

## - Amazon ElasticCache
Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases. 

Amazon describes it as a service that allows you to easily create, operate, and scale open-source compatible in-memory data stores within the cloud. Simply, this means that it eliminates the complexity associated with setting up and managing a distributed cache environment. 

Amazon ElastiCache supports two open-source in-memory engines:

ElastiCache Memcached

ElastiCache Redis

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Most commonly used AWS services in FinTech

In today's fast-paced business world, companies are constantly looking for ways to improve their operations and increase their bottom line. 
One area where many organisations have found success is by integrating their operational technology (OT) and information technology (IT) systems. 

In today's rapidly evolving business landscape, advanced technology plays a critical role in facilitating efficient operations. As a result, integrating operational technology (OT) and information technology (IT) has become an imperative for forward-thinking businesses seeking to enhance their outcomes. 

### Before delving into the concept of IT and OT integration, let's shed light on the differences between the two:

IT refers to the broad spectrum of computing technologies, including hardware, software, and digital infrastructure, that enable the creation, processing, storage, and exchange of electronic data in various forms. 

This encompasses the use of computing devices, storage media, networking components, and other physical tools and processes that facilitate digital information management.

In contrast, OT is primarily associated with the realm of manufacturing and industrial environments, encompassing specialised control systems that regulate the operational processes and activities in such settings.

While IT and OT share some commonalities, such as their use of digital technologies and data management practices, they are distinct in their underlying architectures, applications, and purposes.

## What exactly is OT-IT integration?

Imagine a world where the digital and physical seamlessly converge to create a powerful, unified system. That's precisely what IT-OT integration is all about. By intertwining the software processes and physical sensors with the back-end hardware and software, we can capture and store data that provides actionable insights.

This integration allows the system to access, process, store, and share data quickly, resulting in maximum value from both systems. Whether it's optimising manufacturing processes or improving patient care, IT-OT integration is the key to unlocking the full potential of our interconnected world.

IT and OT systems integration is a game-changer, revolutionising the way businesses operate. By collecting, manipulating, and analysing data from OT systems through effective IT implementation, organisations can streamline their business processes and unlock new avenues for technological innovation. 

However, it's not just a one-way street. By implementing insights from data gathered by their IT systems, organisations can enhance the performance of their OT systems and optimise physical operations. 

This two-way communication between IT and OT systems opens up endless possibilities for businesses to improve their operations and make data-driven decisions. The possibilities are truly exciting!

## Here are the benefits of OT-IT Integration


- **Mitigates expenses**: The integration of IT and OT can facilitate operational cost savings for organisations by enabling the optimization of resource utilisation, energy management, and device management.
This can be achieved through the implementation of more efficient systems that supersede existing separate systems for procurement and legacy infrastructure management. As a result, costs can be reduced by eliminating redundant resources and processes.

- **Boosts flexibility**: Through the integration of IT and OT, organisations can enhance their ability to respond quickly and effectively to market changes by accessing real-time data. This enables them to remain focused on achieving their business goals, even in the face of shifting timelines or other external factors.
By optimising workflows and processes, the integration of IT and OT can help organisations achieve greater operational efficiency, which translates to better outcomes and improved profitability.
 
- **Enhances performance**: The integration of IT and OT allows organisations to establish KPIs that are not only more precise but also more relevant to their specific goals. By aligning their KPIs, the IT and OT teams can work in tandem to drive performance and efficiency across the organisation. 
This unification of efforts fosters a shared vision that encompasses the entire organisation, from top to bottom. With this holistic approach, the organisation can gain a granular understanding of how technology-led initiatives are advancing their shared objectives.

- **Boosts operational standards**: Businesses opt for the integration of IT and OT systems as a means of integrating established IT processes with their operational systems. Furthermore, by extending the capabilities of existing OT systems and devices, real-time monitoring and centralised asset tracking can be facilitated. 
The consolidation of multiple functions into a single monitoring system or console can also enable predictive maintenance tasks, ultimately leading to faster and more efficient user experiences.

![ot-It_integration – 2.jpg](https://backend.habilelabs.io/uploads/ot_It_integration_2_0fefd0a221.jpg)

- **Data-Driven insights**: One of the key benefits of OT-IT integration is the ability to collect and analyze data from various sources in real-time. This data can be used to identify patterns and trends, which can help businesses make better decisions and improve processes. 
By integrating the data produced by both these domains into a unified and standardised data model, businesses can leverage sophisticated analytical techniques to develop comprehensive insights that can improve operational efficiency and provide a competitive advantage.

- **Enhances the orchestration of cybersecurity efforts**: The integration of IT and OT systems can bolster cybersecurity by enabling continuous monitoring and analysis of data patterns from past events. As IT and OT systems pose distinct security challenges and require different strategies and tools, it creates a unified approach to cybersecurity, ensuring that both the systems are protected against cyberthreats. 
The integration of IT and OT systems enhances visibility into OT security, enabling IT teams to leverage existing systems and solutions organisation-wide, thereby enhancing the overall cybersecurity strategy. With this integrated approach, organisations can effectively reduce vulnerability threats and mitigate security risks.

## Wrapping up!

IT and OT integration offers many benefits to businesses, depending on their respective industry and specific use case. 
IT/OT convergence, when executed effectively, can unify an organisation's business processes, analytical insights, and operational controls into a cohesive and consistent environment. 
By streamlining OT deployments and aligning them with contemporary IT best practices, organisations can achieve sustainable success.

Improving Business Outcomes with OT-IT Integration

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Aadhaar masking is the process of blurring the first 8 digits of an individual’s Aadhaar number. It has been recently approved by the Reserve Bank of India (RBI) as a measure to protect users’ private information and secure their data. 
In this blog post, we will explore why this is important and what it means for customers. 

## What Are the Benefits of Aadhar Masking?

The primary benefit of using Aadhar masking is that it protects user data from being accessed without permission. By blurring out the first 8 digits of an individual’s Aadhaar number, only the last 4 digits remain visible, thus reducing the risk of personal information being used without authorisation. This also helps reduce identity theft as there is less chance for someone to gain access to a person’s full Aadhar details. 

Not only does Aadhar masking provide an additional layer of security, but it can also help save time when verifying customer information.
Since only 4 digits are visible, customer service representatives don’t have to ask for the full 12-digit number when verifying customer details or authenticating transactions. This makes it easier and more efficient for businesses to serve their customers quickly and accurately. 


## What Are RBI Guidelines on Aadhar Masking?

The RBI recently released guidelines regarding use of Aadhar masking in order to ensure customer privacy is protected while still providing businesses with a reliable way to verify customer information. According to these guidelines, all financial institutions must follow certain procedures when using Aadhar masking technology in order to ensure security is maintained at all times. 

These include:  	
- Verifying customers’ identities through other means such as PAN cards or other government-issued documents;
- Ensuring that no sensitive personal data such as addresses or phone numbers are stored alongside masked Aadhaar numbers;
- Strictly adhering to existing KYC norms; 
- Refraining from sharing any masked Aadhaar details with third parties without prior consent from customers;
- Regularly reviewing all policies related to use of Aadhar masking technology;
- Periodically auditing masked Aadhaar numbers against existing KYC norms; and
- Keeping records of all transactions involving masked Aadhaar numbers for future reference. 


![aadhar_masking – 1.jpg](https://backend.habilelabs.io/uploads/aadhar_masking_1_57533f5ec0.jpg)

## What is HabileLabs doing to solve this issue?

Our AI-driven solution revolutionises the way sensitive data is managed. It offers comprehensive security while masking Aadhaar numbers from documents with contextually accurate identification and classification.
Achieve accuracy and peace of mind with our Aadhaar masking solution.

Our cutting-edge technology is suitable for all Aadhar image formats ensuring no information leakage or violation of regulations - giving you full compliance confidence. Additionally, integrate into existing applications without effort via APIs and SDKs that are available on premise or in the cloud!

## Wrap Up

Aadhaar masking is an important step towards protecting user privacy while also making sure business still have access to relevant information when needed. 

With its recent approval by the Reserve Bank of India (RBI), businesses are now able to make use of this innovative technology while adhering strictly to existing guidelines in order to ensure maximum security at all times. 

By following these guidelines, businesses can rest assured that their customer data remains safe and secure while enabling them to serve their customers quickly and accurately. As more organizations adopt this technology, we can expect increased safety measures that further protect users from identity theft and other malicious activities online.

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All you need to know about Aadhar Masking

The applications of artificial intelligence (AI) in customer support is not new. In fact, chat bots have been around for years, providing a quick and easy way for customers to get answers to their questions. However, chatbots have typically been limited in their ability to understand and respond to customer queries.

If you've been on social media lately, you've probably seen people talking about ChatGPT. But what’s all this fuss about?

Well, introducing ChatGPT, a new AI-powered chatbot that is said to be able to replicate the experience of a human customer service agent.
But can ChatGPT really replace human talent? Only time will tell, but in the meantime, let's take a look at what ChatGPT is and how it works.


## All About ChatGPT
ChatGPT is a powerful Artificial Intelligence (AI) technology and a natural language processing (NLP) system that can generate human-like conversation and content.

OpenAI, a research-based AI company in San Francisco, launched this tool on 30th November 2022. It had more than 1 million users in its first five days after launching.

Along with ChatGPT, the OpenAI has also created tools like Whisper (A speech recognition system) & DALL-E (An AI Image Generator from Text).


>“ChatGPT is scary good. We are not far from dangerously strong AI," 
said Elon Musk.


Unlike other chatbots, ChatGPT is trained with Reinforcement Learning with Human Feedback (RLHF) and designed to learn from its conversations and get better over time.

The OpenAI team has been fed on billions of big data and millions of conversations to generate responses in real time with minimal latency and to make it as intelligent as it is today.
The goal of ChatGPT is to eventually be able to hold a human-like conversation with anyone.

## Get Started with ChatGPT-

Currently in beta, ChatGPT can be accessed at chat.openai.com to get started. To create an account, click "Sign Up." 
Then, ChatGPT will walk you through the process of launching your first inquiries while giving you examples of what you can do with the tool.

Currently, ChatGPT is in research and testing phase, thus free to use, but in the near future, the company concedes to monetise it to restrict the usage and generate revenue.


### Benefits & Uses of ChatGPT

ChatGPT can be used in chatbots, virtual assistants, customer service agents, sentiment analysis, entity extraction and other applications that require natural language understanding and generation.
Let’s see some of the highlighting features here-
- Allows you to automate your customer support interactions and provide a consistent experience across all channels. 
- Makes it easy for businesses to create automated customer service responses that are tailored specifically for their brand and audience.
- Comes with hundreds of pre-programmed templates, including questions about products, services or warranties. It also has an extensive collection of custom phrases that can be used for any situation at hand. 
- Offers full documentation on how to use its APIs, which means you'll have access to everything from user profiles to data models. 


It is one of the most advanced AI technologies currently available and promises to revolutionize the way we interact with computers.

## Limitations of ChatGPT

ChatGPT has many advantages over traditional methods of generating conversations. It can generate more natural-sounding dialogue than conventional methods and it is also faster and more efficient at doing so.
However, the technology has its limitations. 

ChatGPT is not perfect, as it can't understand context or interpret human emotions like a human would.

For example, it may not be able to understand certain context in conversations and may produce inaccurate results if not trained properly.

- It also requires careful monitoring and guidance to ensure that the conversations generated are accurate and appropriate. 
- Additionally, ChatGPT cannot create original content on its own; instead it relies on data sets provided by the user to generate meaningful conversations. 
- It struggles with understanding complex topics and generating accurate responses based on them. 
- As such, it it only trained on data till 2021 so it can cannot answer the questions based on the after events and recent topics. 
- It can lead to longer wait times for customers as it need to take time to process each before answering.
- And finally, it does not contain emotions so it cannot be creative like a human mind, thankfully!! 


As ChatGPT is not a human. As such, it can only offer pre-written responses to customer queries. This means that if a customer asks a question that ChatGPT isn't programmed to understand, it will not be able to offer a helpful response.

Despite these limitations, ChatGPT remains an invaluable tool for content creators looking to quickly generate engaging dialogue without having to spend time manually crafting each sentence.

Taking all of this info in, here comes the big question?

**Can ChatGPT Replace Human Skills?**

As artificial intelligence technology continues to evolve, many businesses are wondering if ChatGPT will soon replace human talent.
While ChatGPT is still in its early stages, it shows promise as a way to automate repetitive tasks that do not require human interaction.

So far, it has been shown to be effective in tasks such as customer service, technical support, and sales. In the future, it could potentially be used to replace human jobs in a variety of industries.

However, it is still unclear if ChatGPT will be able to completely replace human skills. While ChatGPT can handle almost all tasks, it still lacks the creativity and problem-solving skills of humans. Additionally, it will likely never be able to match the emotional intelligence of humans.

For now, it seems that humans and ChatGPT will need to work together to create the best possible outcomes. Only time will tell what’s the future has in store.

## Summary

ChatGPT is constantly improving and expanding its capabilities. So far, it has been impressive in its ability to mimic human conversation. However, it is still in its early stages and there are some bugs that need to be worked out.

But overall, the potential for ChatGPT is great and it will be interesting to see how it develops in the future. We can't wait to see what the future holds and how this power of ChatGPT is gonna affect the world, personally or professionally, likewise.


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All About ChatGPT - The Strong Future of AI

In this article, we will take a look at how to deploy an angular application to an Amazon S3 Bucket and access it via AWS Cloud Front. 

This process consists of two CI/CD steps: 
- Building the project with AWS CodeBuild 
- Configuring Continuous Integration/Continuous Delivery (CI/CD) with AWS Code Pipeline.  

## Get Started with AWS
![MicrosoftTeams-image.png](https://backend.habilelabs.io/uploads/Microsoft_Teams_image_884813d5d1.png)
### Pre-Requisites:
- Access to AWS Account  - Understanding of AWS S3, Code-Build & Code-Pipeline in order to create CI/CD pipeline.  
- Basic knowledge of CloudFront, Route 53, Certificate Manager. 



Below are the steps to follow the process:  
### Create AWS S3 bucket enabling Static Web Hosting with Public Access:

Create an S3 bucket and in General Configuration section, give the Bucket Name, the name should be unique. Keep Object Ownership as default.  

Enable public access to the Bucket by unchecking the ‘Block all public access’. This does allow access to the bucket publicly, but this doesn’t enable public access to the content/objects inside the bucket.  

Keep the rest as default and click ‘Create bucket’.  

Once the bucket is created, go inside it and we can see different configuration tabs for this bucket. Here it shows the Access level of the bucket as ‘publicly accessible’.  

- Next step is to enable this bucket, to host a website. Click on ‘Properties’ tab and find the section ‘Static website hosting’.    
- After finding the Static website hosting section, click on edit and edit the configurations there mentioned as:  
![MicrosoftTeams-image (2).png](https://backend.habilelabs.io/uploads/Microsoft_Teams_image_2_8332f19416.png)
        
Next step is to create custom bucket policy because though we enabled public access for this bucket it doesn’t allow to access the object inside the bucket to be accessed publicly.   

Click the ‘permissions’ tab and go inside. There you can find a section ‘Bucket policy’ and then, click on ‘Edit’ and add the following inside the ‘Policy’-        

```
{  
 "Version": "2012-10-17",  
 "Statement": [  
 {  
 "Sid": "PublicReadGetObject",  
 "Effect": "Allow",  
 "Principal": "*",  
 "Action": "s3:GetObject",  
 "Resource": "arn:aws:s3:::<AddYourBucketName>/*"  
 }  
 ]  
}  
```
Now, save the changes and thus we have configured our S3 bucket to host a static website that is accessible publicly.  

### Create AWS CodeBuild:

- To create CodeBuild click on ‘Create build project’.  
- In the ‘Project configuration’ section gives the build name. Always keep in mind to keep the naming convention is configurated correctly.
- Then in the ‘Source’ section, select the ‘Github’ as the ‘Service Provider’. Connect to GitHub and then it will ask your consent to connect your GitHub with AWS.  
- Then add repository URL, and set the branch you wish to use.  

In the ‘Environment’ section, update the configuration as per the requirement. Also do check the additional configuration section in order to mention Environment Variable and some other details eg : compute.  

Now comes the most important section is ‘Buildspec’. Here we configure how our project should be built to generate artifacts.   

In order to create buildspec, we have two options: 
Use a buildspec file or Insert build commands. 
We used a buildspec file. Below is the build file -

Next is to configure ‘Artifacts’. Select the type from the dropdown button and click on Update Artifact.

Once done click on ‘Create Build Project’ and run the CodeBuild and check whether the build is successful or not.  

### Create AWS CodePipeline:

AWS CodePipeline is used to automate build and deployment of our Angular Web Application to S3 bucket.  
Click on ‘Create pipeline’. Then we have to follow below steps in order to create the Codepipeline.  

- **Pipeline Settings** — General configurations for the Codepipeline, such as Name, Role etc.  
- **Source** — As the first step we have to set up the Triggering Source of the Code Pipeline. We can select the source provider, as ‘GitHub (Version 1)’ or maybe something else as well.    
- **Build** — So here we add our Codebuild as the Build provider.
- **Deploy** — The last step, which defines where to deploy the Build. So, in our case we select Amazon S3.  

Save the changes and then click on ‘Release Change’.  

Let the code pipeline to run and deploy the Angular Project. After the pipeline completed the execution, we can check the s3 bucket, there we can see angular build files.  
![MicrosoftTeams-image (3).png](https://backend.habilelabs.io/uploads/Microsoft_Teams_image_3_377ca8ab39.png)

### Create a Hosted Zone:

In our case the hosted zone was already created.   
We need to create a DNS zone that will contain a CNAME record that will forward traffic from admin.exmasbook.com to our website endpoint. 

Since our static website is in AWS, we can use AWS Route 53 to serve as our domain’s DNS provider.  

### Request for Secure Socket Layer (SSL) Certificate:
- Search for Amazon Certificate Manager (ACM) and click on get started Request a Certificate and select Request a public certificate.
- Enter the domain name we registered earlier and keep rest other parameters as it is. Click on Request button.   
- In order to validate the domain, we need to add a CNAME record to the DNS configuration of our domain.   

Setting up the record depends on the provider. But since we have created a hosted zone in Route 53 earlier, click on the Create record in Route 53 button. Doing so will automatically add the record to the hosted zone.  

- Click on the Create button in the pop-up window to finalize creating the record in Route 53 and click on Continue button.   
- Next, we can see the Pending validation status, which indicates the certificate manager is trying to validate the ownership of the domain. 

Once validate, the license will be issued, and the status will change to Issued.  

### Use CloudFront to serve a static website hosted on Amazon S3:

- To serve a secure version of the website, we can use Amazon CloudFront which are AWS Content Delivery Network (CDN) service to serve the content of your static website being hosted on Amazon S3.
- Create a CloudFront distribution.   
- Set an origin domain by entering the S3 bucket endpoint in the Origin domain field. The origin domain indicates where our website content is stored.   
- In the Default cache behaviour section select the Redirect HTTP to HTTPS option under Viewer protocol policy.  
- In the Settings section click on Add item and set our domain name for secure access to your website rather than the domain name CloudFront assigns to the distribution.  
- Write domain name (admin.examsbook.com) in the input field below the Alternate domain (CNAME) section. Also, select the certificate that was issued to our domain earlier in the Custom SSL certificate field.  
- Next, in the default root object field and input the default home page name. We can see below that index.html is the default home page.  
- Leave the rest of the settings default when distributing a static website in CloudFront. Click the Create distribution button at the bottom to create the distribution.  

Finally, copy the distribution’s domain name in the Domain name column, and paste it in a browser’s address bar to test if our website shows as secure. We should see our website’s home page displayed by default.  

### Setting up Our Domain with CloudFront:
CloudFront is still directing traffic to our S3 bucket endpoint; it’s not using our custom domain. 

We want to use our own domain in order to distribute our website instead of the one provided by CloudFront. If so, we need to create an CNAME record for the domain name we previously registered.  

- Click on Hosted zone under DNS management in Route 53 dashboard to access our hosted zone(s) list.  
- On the Hosted zones page, click on your domain name in the table. Doing so will redirect us to a page where we’ll create a CNAME record type. CNAME record routes this domain’s incoming traffic to your CloudFront distribution.  
- Now, select your CloudFront distribution domain name in the Choose distribution field, and click on the Create records button.   

Once the record is successfully created then we can navigate to our website via the custom domain you configured.  

## Conclusion
Throughout this article, we’ve learned how to use some AWS services to host our static website. 

We’ve also experienced securing our website with an SSL certificate and optimizing our website’s distribution with CloudFront.  

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Angular Web Deployment

As the employment landscape rapidly evolves, it is becoming increasingly important for organisations to refine their hiring process in order to attract and retain top talent. With a need for better manpower growing more urgent every day, businesses must be able both maintain existing roots while continually onboarding fresh new additions that can bring something unique to roles unavailable before. 
Careful consideration on how best to facilitate this balance is paramount if any company wants to remain competitive within its respective industry.

With the tech sector booming and likewise putting novel demands on the recruitment process, meeting hiring challenges has become increasingly complex. Connecting with qualified applicants who have the right skillset is a challenge when the competition for talent can be fierce.

High employee turnover rates also create obstacles that recruiters must work to overcome, making it necessary to ensure candidates fit the job requirements as well as company culture. In addition, accurately assessing technology skill-sets often requires staffing specialists with in-depth experience in the area. 

It’s more important than ever for recruiters to collaborate with internal stakeholders to effectively navigate findings and solutions during their hiring process.

Some of the factors contributing to these challenges in the IT sector are -

### - Candidate's Choice :
It is hard to find a quality candidate nowadays, besides this candidates have their own choices on salary, job role and  job location. Candidates hold multiple offers that give them the power to negotiate for more. 
### - Work From Home / Hybrid Work Mode :
Pre-COVID, candidates invested considerable thought into considerations such as job location and home proximity. Nowadays though, the IT industry is dominated by virtual work - prioritizing comfort in lieu of traditional workplace concerns. As a result, prospective employees are presented with significantly altered criteria to weigh up when deciding on their desired career opportunity.
### - Salary Against Experience:
Employees now feel a lack of engagement with their workplace, but still seek out higher salaries when considering new opportunities. Companies need to ensure that perks and benefits match modern job expectations in order for them to compete for the best talent on offer today. 
### - Back-Outs:
Despite their best efforts, recruiters are often met with apathy when candidates abruptly 'back out' of interviews and job offers. This lackadaisical attitude can have a profound impact on the talent acquisition process, creating frustration for all involved!

![tech_recruitment_ 1.png](https://backend.habilelabs.io/uploads/tech_recruitment_1_c353243cb3.png)

### - Stability:
In our current industry and market, job hopping is quickly becoming the norm rather than an exception; candidates are not content with long-term associations anymore but instead strive for quick successes through frequent changes in employment. As a result, businesses must temper expectations of employee loyalty to keep up with this modern trend towards shorter tenure placements.
### - Notice Period Duration:
During the notice period, candidates thrive to make the most of their situation and leverage it for more opportunities. They are highly motivated to seek out better prospects while still fulfilling their obligations in order to gain a desired outcome. 
### - Multiple Offers:
In today's competitive job market, top candidates are receiving multiple offers. This can present a challenge for recruiters as once the candidate has resigned from their current role they may be considering other options even after proper coordination on our behalf. Money matters can make or break employment decisions in this landscape.
### - Hiring within tight deadlines:
With an accelerated timeline, thoughtful planning and clear communication are paramount in making sure that all parties involved have the opportunity to gain a good understanding of the role, hiring team, and organization. Meeting pre-work should focus on items that yield the most information for a timely decision and meeting time should be used wisely for constructive dialogue. 


## Wrapping Up!
Recruiting for the technology sector is a complex process, with demands for highly-skilled professionals and unexpected skill gaps. To succeed in this competitive field, recruiters must be able to quickly source qualified candidates as well as create long-term relationships that benefit both employers and employees over time. A clear understanding of skills required will further assist recruitment personnel in meeting their goals while providing the necessary training or learning opportunities when needed - ultimately resulting in successful hires across all areas of tech industry expertise.

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8 Major Hiring Challenges in Tech Recruitment

AI and ML testing is a process of evaluating the performance and accuracy of AI and ML systems. 

It involves testing the system's ability to learn from data, make predictions, and adapt to new situations. It is becoming an increasingly important aspect of software testing as the use of AI and ML in various industries, such as healthcare, finance, and retail continues to grow. 

Testing AI and ML systems require a different approach than traditional software testing as it involves testing the system's ability to learn and adapt, rather than testing its functionality. This includes testing the data sets used to train the system, testing the system's ability to handle edge cases, and testing its performance under different conditions. 

The future of software testing will likely involve more use of AI and ML to automate and improve the testing process, making it more efficient and effective. 

## AI & ML Testing: What You Need To Know Before Diving In?

There are several key factors to consider when testing AI and ML models, including: 

- Data quality: The quality of the data used to train and test the model is crucial to its performance. It is important to ensure that the data is representative of the problem being solved and that it is free from errors and biases. 
- Test design: The test design should be carefully planned to ensure that the model is being evaluated on a representative set of data and that the results are meaningful. 
- Metrics: The metrics used to evaluate the model's performance should be chosen carefully and should be appropriate for the task at hand. Common metrics include in AI & ML are accuracy, precision, recall, and F1 score.
- Model interpretability: The ability to interpret and understand how the model is making its predictions is an important aspect of AI and ML testing.
- Model robustness and safety: It's important to evaluate the robustness and safety of the model, and it should be tested to ensure it can handle a wide range of inputs and edge cases. 
- Continuous monitoring: AI and ML models should be continuously monitored and retrained as new data becomes available or the underlying problem changes. 

## Understanding The Basics of AI & ML Testing For Quality Assurance

AI and ML testing for quality assurance involve testing the accuracy and performance of AI and ML models to ensure they function as intended. This can include testing the models' ability to learn from data and make accurate predictions, as well as testing for potential biases and errors. There are a variety of tools and techniques that can be used for AI and ML testing, including unit testing, smoke testing, sanity testing,  regression testing, and testing the models against a set of known inputs and outputs. It's also important to test the model's performance on real-world data, as well as monitor its performance over time. Overall, the goal of AI and ML testing is to ensure that the models are reliable, accurate, and fair. 

### The Automated Way of Testing AI & ML Models - A Comprehensive Guide

Automated testing of AI and ML models involves using software tools and scripts to test the models in a systematic and repeatable way. This can include unit tests to test individual components of the model, as well as integration tests to ensure that the model works correctly when integrated with other systems.

![ai_and_ml_1.jpg](https://backend.habilelabs.io/uploads/ai_and_ml_1_bb27d9dce4.jpg)

Here are some steps for creating an automated testing framework for AI and ML models: 

- Define the test cases: Identify the inputs and expected outputs for each test case. 
- Implement the tests: Use a testing framework such as PyTest or TensorFlow's testing library to write the tests. 
- Set up a test environment: Create a test environment that includes the necessary dependencies and data sets. 
- Run the tests: Use a tool such as Jenkins or Travis CI to automatically run the tests on a regular basis. 
- Monitor the results: Use a tool such as TensorBoard to track the results of the tests and identify any issues. 

## What You Need to Know About AI & ML Testing: Pros and Cons?

### AI and ML testing has several advantages:

- Increased Accuracy: AI and ML systems can be trained to recognize patterns and make predictions with a high degree of accuracy. Testing these systems can help ensure that they are working as intended.
- Improved Efficiency: AI and ML systems can automate repetitive and time-consuming tasks, which can increase the efficiency of the testing process.
- Better Decision Making: AI and ML systems can help identify and prioritize potential issues, allowing for more effective decision making during the testing process. 

### However, AI and ML testing also has some drawbacks:

- Complexity: AI and ML systems can be complex and difficult to test, requiring specialized knowledge and tools. 
- Limited Visibility: It can be difficult to understand how AI and ML systems make decisions, making it challenging to identify and debug errors. 
- Data Bias: AI and ML systems can be biased if the data used to train them is not diverse and representative. 
- Costly: Setting up a testing environment for AI and ML can be costly, especially if specialized tools and personnel are required. 


## Conclusion:

Overall, AI and ML testing can be beneficial for ensuring the reliability and accuracy of these systems, but it also requires specialized knowledge and resources. 
Testing AI and ML models is a critical step in the development process that helps ensure that the models are accurate, robust, and safe to use in real-world applications.
It's important to have good test coverage, have a good understanding of the model and the input data, and also check the results of the model for any unexpected/wrong predictions. 
It's also important to test the model in a production-like environment, and also to monitor the performance of the model over time. Additionally, you should also consider testing the model in different scenarios and under different loads to ensure that it can handle different edge cases. 

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AI & ML Testing: Future of Software Testing?

Creating a strong and recognizable brand can be a challenge for any business, but it is essential for success. In today's competitive marketplace, having a well-developed and comprehensive brand is key to standing out from the crowd.  

Crafting a strong brand identity is a key step in gaining recognition, credibility, and trust in the marketplace. Whether you're a small business or a large corporation, it's essential to have a comprehensive strategy for enhancing your branding. 

When it comes to creating a successful business in today’s competitive world, branding is essential. But, what exactly is branding? 

## What is Branding?
Branding is the process of creating an identity and value for your business that helps to differentiate it from the competition.  

Branding is much more than just a logo or a catchy slogan; it’s the entire experience that customers have with your business from the moment they first hear about you to the moment they purchase your products or services. 

At its core, branding is about creating a message that resonates with your target audience. It’s about creating an emotional connection with your customers. It’s also about creating a consistent message across all your marketing channels, from your website to your email campaigns. 

Branding is also about the values of your organization. It’s about creating a unique identity that will make customers feel connected to your organization. Branding should be centered around the values that you believe in and want to share with your customers. 

Your brand should be clear, consistent, and attractive to consumers. It should be an extension of your business, conveying the values and mission of your company through visuals, messaging, and customer service. 

Building a strong brand involves creating a unique logo, developing a brand voice and message, and creating a unified brand experience across all marketing channels. 

A successful brand will create an emotional connection with your target audience, inspire loyalty and trust, and ultimately, drive more sales. 

Branding is an ongoing process of evolution and refinement as your business grows and changes. It’s important to keep your branding up to date, as it should be representative of the company you are today and the company you want to be in the future. 

## Steps for Successful Branding Strategy

![brand enhancing](https://backend.habilelabs.io/uploads/internal_image_branding_d99c3b2cca.jpg)

Whether you’re just starting out or have been in business for years, developing a strong brand is essential for long-term success. And, with the right strategy and approach, you can create a brand that will help you stand out in a crowded marketplace. 

Branding is an essential component of any business, organization, or individual. It is the way you communicate your values, beliefs, and mission to the world, and it plays an important role in helping you differentiate and stand out from the competition.  

The key to a successful branding strategy is to have a clear understanding of who you are, who your target audience is, and how you want to be perceived. To create a successful brand, you need to have a comprehensive [SEO strategy](https://learn.habilelabs.io/a-complete-seo-guide-for-web-developers-2eec6fe44217?source=collection_home---4------11-----------------------) and well-defined plan that will help you reach your goals. 

To help you get started, here are some of the best practices you can use to enhance your branding and create a powerful brand identity -

### 1. Establish a clear vision and mission

Your branding should start with a clear vision and mission. This will help you define the purpose, values, and message of your brand. 
Ensure that these are clear and concise, and that they reflect the essence of who you are and what you want to achieve. 

### 2. Define your target audience

Knowing who your target audience is and understanding their needs, wants, and expectations will help you create an effective branding strategy by making sure that your message resonates with them. 

### 3. Develop a unique voice and tone
Your brand's voice and tone should be unique and consistent, so that it stands out from the competition and resonates with your target audience. 

### 4. Create a memorable logo

Your logo is one of the most important elements of your branding, as it is the visual representation of your business. It should be simple, memorable, and recognizable, and it should effectively communicate your brand's message. 

### 5. Utilize all available platforms
In today's digital world, it is important to take advantage of all available platforms to maximize the reach of your branding. This includes social media, websites, email marketing, and other digital marketing channels. 

### 6. Focus on customer experience
Your branding should focus on creating a positive customer experience. This starts with your customer service and extends to your products, services, and overall interactions with your customers. 

### 7. Stay consistent

Consistency is key for successful branding. Make sure that all your branding elements, including logos, content, designs, and messaging, are consistent across all platforms. 

## Wrapping Up!

Branding is an important part of establishing a successful business or organization, and following the best practices outlined above will help you create a successful branding strategy.  

Creating a successful brand requires effort and dedication. But, by following these best practices, you can create a strong brand identity that resonates with customers and sets you apart from the competition. 

By understanding who you are and who your target audience is, and by utilizing all available platforms and staying consistent, you can ensure that your brand stands out from the competition and resonates with your target audience. 

By following these best practices for branding, you can create a powerful brand for your business that will help you stand out from the competition, create an emotional connection with your customers, and build trust.  
Good luck!


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