Showing posts with label #Testing. Show all posts
Showing posts with label #Testing. Show all posts

Tuesday, 14 April 2026

End-to-End AI Credit Risk Systems: Turning Raw Data into Instant Lending Intelligence

๐ŸŽง Video Transcript: Please click the Closed Captions (CC) icon in the video to read the transcript.

๐Ÿค– AI-Powered Credit Risk & Real-Time Lending

Banks are increasingly leveraging AI-powered credit risk platforms to evaluate loan applications and calculate credit scores within seconds, transforming traditional lending into a real-time decision-making process.

๐ŸŸข What’s New?

AI-powered credit risk platforms can analyze applicant data and support rapid credit scoring, helping financial institutions move toward faster and more intelligent lending decisions.

๐Ÿ”ต How It Works

A modern Data Lakehouse architecture can combine streaming data with technologies such as Kafka, Databricks, and Spark. Machine learning models then process this information to evaluate credit risk and support near real-time decisions.

๐ŸŸฃ Key Innovation

Multi-layered data refinement transforms raw information into decision-ready insights:

๐Ÿฅ‰ Bronze ๐Ÿฅˆ Silver ๐Ÿฅ‡ Gold

This layered approach improves data quality and provides reliable inputs for credit scoring and risk analysis.

๐ŸŸก Risk Intelligence in Action

Advanced analytics can calculate important credit-risk metrics that help financial institutions understand potential losses and exposures.

PD
Probability of Default
LGD
Loss Given Default
EAD
Exposure at Default

๐Ÿ”ด Business Impact

Visualization platforms such as Power BI can provide real-time dashboards, automated decision insights, and improved customer experiences.


Faster Credit Decisions
Moving lending decisions from lengthy manual processes toward near real-time evaluation.

๐ŸŸ  The Big Picture

AI + real-time data pipelines are reshaping credit-risk management by moving organizations from manual approvals toward intelligent, end-to-end decision platforms designed for speed, scalability, and precision.

๐ŸŒŸ

Follow the Complete Engineering Journey

Subscribe for more full-stack development, automated testing, CI/CD, DevOps, and software engineering projects.

Sunday, 2 February 2025

Captcha Automation which involves Arithmetic Calculations

๐Ÿค– TEST AUTOMATION • ROBOT FRAMEWORK

๐Ÿงฎ Captcha Automation with Arithmetic Calculations

Explore an automated testing approach for arithmetic-based CAPTCHA challenges using Robot Framework, Page Object Model, and data-driven testing.

▶️ CAPTCHA AUTOMATION SERIES

๐ŸŽฌ Explore the Complete Captcha Playlist

Watch more practical content on CAPTCHA automation, Robot Framework, automated testing, Page Object Model, and data-driven test automation.

๐Ÿ” What This Automation Demonstrates

This automation approach demonstrates how arithmetic-based CAPTCHA challenges can be handled as part of an automated testing workflow, with an emphasis on reliability, maintainability, and execution speed.

๐Ÿš€ Key Automation Features

๐Ÿงฉ
Page Object Model + Data-Driven Testing
Uses Page Object Model principles together with Excel-based data-driven testing above Robot Framework to create a structured and maintainable automation solution.
๐ŸŽฏ
Reliable CAPTCHA Test Execution
The approach is designed to avoid unnecessary failed attempts when the automation test script encounters an arithmetic CAPTCHA.
Optimized Test Performance
The automation workflow is optimized for faster execution, helping reduce unnecessary processing during automated tests.

๐Ÿ› ️ Automation Technology Stack

๐Ÿค– Robot Framework ๐Ÿ“Š Excel Data ๐Ÿงฉ Page Object Model ๐Ÿงฎ Arithmetic CAPTCHA ⚡ Test Optimization

๐Ÿ’ก Key Takeaway

A well-structured test automation framework can improve reliability, maintainability, and execution performance when handling arithmetic-based CAPTCHA scenarios in controlled testing environments.

⚠️ Responsible Automation
CAPTCHA automation should only be used for authorized testing, QA, and controlled environments where you have permission to automate the application.
๐ŸŒŸ

Follow for More Automation & Engineering Content

Follow the complete engineering journey, automated testing, CI/CD, DevOps, AI, cybersecurity, full-stack development, and software engineering projects.

๐Ÿ’ผ Subscribe on LinkedIn ▶️ YouTube Channel ๐Ÿ‘ค LinkedIn Profile
๐Ÿค– Robot Framework • ๐Ÿงช Test Automation • ๐Ÿ“Š Data-Driven Testing
Build reliable, maintainable, and efficient automation.

Friday, 17 January 2025

Captcha Automation Using Selenium 4 and Java 23

๐Ÿงช SELENIUM 4 • JAVA 23 • TEST AUTOMATION

๐Ÿค– CAPTCHA Automation Using Selenium 4 & Java 23

Explore a practical test automation demonstration using Selenium 4 and Java 23 in a controlled QA environment.

▶️ CAPTCHA AUTOMATION PLAYLIST

๐ŸŽฌ Watch the Complete Automation Series

Explore additional demonstrations covering CAPTCHA automation, Robot Framework, data-driven testing, Page Object Model, and automated testing techniques.

๐Ÿ” What This Demo Covers

This demonstration showcases an approach to CAPTCHA-related automation using Selenium 4 and Java 23 within a controlled test automation environment.

๐Ÿ› ️ Technology Stack

๐ŸŒ Selenium 4 ☕ Java 23 ๐Ÿงช Test Automation ๐Ÿ” Web Testing ⚡ Automation

๐Ÿš€ Demo Highlights

Selenium 4 Web Automation
Demonstrates browser automation concepts using the Selenium 4 framework.
Java 23 Automation
Uses modern Java development with Selenium for automated testing scenarios.
⚠️ Responsible Test Automation
CAPTCHA-related automation should be performed only in applications, environments, and test scenarios where you have explicit authorization. Use these techniques for QA, development, and controlled security testing.
๐ŸŒŸ

Follow for More Automation & Engineering Content

Follow the complete engineering journey covering Selenium, Java, Robot Framework, automated testing, CI/CD, DevOps, AI, cybersecurity, and software engineering projects.

๐Ÿ’ผ Subscribe on LinkedIn ▶️ YouTube Channel ๐Ÿ‘ค LinkedIn Profile
๐Ÿค– Selenium 4 • ☕ Java 23 • ๐Ÿงช Test Automation
Build reliable, maintainable, and efficient automation.

Monday, 22 July 2024

Microsoft’s ‘Blue Screen of Death’ is a scapegoating mechanism or process needs to be enhanced?

 



CrowdStrike is an American cybersecurity firm which specializes in web/cloud based anti-virus software’s, it possesses advanced threat detection capabilities, real-time response, and cloud-native architecture.

Recent Microsoft’s ‘Blue Screen of Death’, was caused due to, the CrowdStrike released update for windows that had a bug.

The latest CrowdStrike patch executes in the Kernel mode and monitors system activities at near to the ground level to monitor the system or server resources.

As CrowdStrike latest patch is able to access the invalid memory location, it generated a ‘Blue Screen of Death’.

It is said that a recently joined employee in CrowdStrike, as System Administrator, optimized the code base, such as he just updated a single line of code, which caused the CrowdStrike security patches in Windows systems or server’s failures, and he has been now thrown out from his job.

MY VIEW POINT ON WHAT CROWDSTRIKE SPECIFIES:

 

When a new security patch or release is planned, then first the requirement refinements would have been planned and conducted.

Next, the Change Management Board which will analyses these changes and will give a go- or no-go decision, in both meeting the risks, and impacts which would be analysed, discussed, and documented in detail.

Once these requirement, risks and impacts are finalized, the development starts, here the as employee who developed is new to the organization, during and after the development, his work and deliverables, would be monitored and will be reviewed by a senior employee.

The newly developed security patch would have been tested multiple times during the development and reviewed by the senior employee or employees and Unit test cases should have been prepared, in this case, tested the codebase has been placed on the  Infrastructure pipeline.

Next the team lead, should have, reviewed the work delivered. According to the process followed in CrowdStrike, Unit test cases or the infrastructure pipeline should have been created and tested.

Then  in the functional testing, manual, automated regression, non-functional such as security or performance tests, might has been conducted by the Testing team in the CrowdStrike.

Finaly Product Owner or the manager, should have reviewed all the deliverable including the test results conducted at various level and will approve the new security patch to the production.

Now from the Microsoft side, when new security or patch for the Windows or servers, are delivered by the partners, the intake will be tested, at multiple levels discussed earlier, and at different product vision such Window 10, 11, Windows 2016 server etc.

Now from the companies installing or applying the security or patch to their servers or window machines, should have tested it in their own sandbox.

Best practice, whenever new patch is released by any vendors in this case Microsoft, it will be tested in sandboxes, and N-1 patch will be released to all environment or present in production, and after the through testing Nth version of patch would be released.

So, to conclude, CrowdStrike has not reviewed or tested the security patch, Microsoft has not tested the incoming update from the vendor, the companies who are implementing the patches have less validated process for installing the patch and finally one employee who has developed this has been made as a scapegoat and has been asked to leave.

When a process fails, it is always good to learn incident and to avoid those scenarios in future, and improve the process in place, instead of blame gaming and scapegoating.

Kindly provide your value thought as review comments.

Friday, 23 September 2022

RPA with UIPath Demo how AI can be used in Stock Buy or Sell Decisions

  •  How RPA(Robotic Process Automation) with UIPath can be utilized in decsion making with the aid of Artificial Intelligence.
  • Live Stock furture data is analyzed and estimate or projection of Stock price is made



Monday, 27 June 2022

PACT Contract Microservices Testing

 This Demo illustrates the PACT Contract Testing of Microservices.


Details:

  • PACT Contract Testing is demoed on the chosen Microservice
  • Different factual test scenarios were explored as part of this demo
  • Highlighted the how the cost of bugs detections are reduced and ROI (Return Of Investment) is very high by using the approach