AI/ML Resources

Taming Gen AI Video: An Architectural Approach to Addressing Identity Drift and Hallucination

Most Gen AI tools treat video as stateless images. Discover how better architectures, identity conditioning, and state-aware pipelines make AI video production reliable.

December 11, 2025

by Andrei Klubnikin

· 2,069 Views · 1 Like

How GPU Power Is Shaping the Next Wave of Generative AI

The next wave of GenAI will be shaped not by model design, but by how effectively organizations secure and scale GPU compute.

December 11, 2025

by Igor Voronin

· 815 Views · 1 Like

Demystifying Agentic Test Automation for QA Teams

Testing is shifting from brittle scripts to autonomous AI agents that explore your app and find edge cases — QA’s new job is strategy, oversight, and amplification.

December 11, 2025

by John Vester

CORE

· 2,266 Views · 2 Likes

Why Senior Developers Are Actually Less Productive with AI Copilot (And What That Tells Us)

Experienced developers experience productivity drops with AI Copilot because verification overhead exceeds the gains from generation speed. Junior developers gain 35%, seniors lose 12%.

December 11, 2025

by Dinesh Elumalai

CORE

· 3,281 Views · 5 Likes

Securing Cloud Workloads in the Age of AI

5 practical steps to building bulletproof cloud systems in an era of rapidly evolving AI-driven cyber threats and risks.

December 10, 2025

by Atish Kumar Dash

· 1,209 Views · 1 Like

Architecting Intelligence: A Complete LLM-Powered Pipeline for Unstructured Document Analytics

How OCR, LLMs, and vector search work together to deliver reliable insights for analytics, compliance, and decision-making.

December 10, 2025

by Jas Tandon

· 1,638 Views · 4 Likes

AI-Driven Alpha: Building Equity Models That Survive Emerging Markets

Enduring alpha requires engineering for resilience — regime awareness, stress testing, observability, and execution realism separate robust models from brittle ones.

December 9, 2025

by Srinivas Mudireddy

· 1,765 Views · 3 Likes

AI SDLC Transformation, Part 2: How to Measure Impact (and Avoid Vanity Metrics)

Learn how to measure AI-driven software delivery beyond vanity metrics, focusing on capability, sustainability, and real transformation impact.

December 9, 2025

by Orkhan Gasimov

· 960 Views · 1 Like

Agile Is Dead, Long Live Agility

Agile is dead, long live agility. The brand may have failed, but its core ideas succeeded. It’s time to move on; the name was just a vehicle.

December 9, 2025

by Stefan Wolpers

CORE

· 2,502 Views · 4 Likes

The Hidden Cost of AI Agents: A Caching Solution

The true bottleneck in AI agent systems is data access, not LLMs. Semantic caching and coordinated query handling transform performance and cost.

December 8, 2025

by Janani Annur Thiruvengadam

CORE

· 2,389 Views · 6 Likes

Discover Hidden Patterns with Intelligent K-Means Clustering

K-Means goes beyond surface-level patterns to identify true shopper segments, enabling smarter cart-value forecasting and targeted recommendations.

December 5, 2025

by Raja Chakraborty

· 3,589 Views · 1 Like

AWS Agentic AI for App Portfolio Modernization

AWS Agentic AI automates and enriches portfolio assessments, fusing business context with technical signals to deliver faster, more consistent modernization decisions.

December 5, 2025

by Subrata Saha

· 3,367 Views · 1 Like

The Hidden Backbone of AI: Why Data Engineering is Key for Model Success

From Business Intelligence to Artificial Intelligence: Data Engineering’s New Mandate for Trustworthy, Context-Rich Data

December 5, 2025

by Rajanikantarao Vellaturi

· 1,776 Views · 2 Likes

The RAG Illusion: Why “Grafting” Memory Is No Longer Enough

The CLaRa framework achieves true fusion of RAG's retrieval and generation modules via compressed vectors, enabling 16x efficiency and superior reasoning performance.

December 5, 2025

by Frederic Jacquet

CORE

· 2,984 Views · 1 Like

Scaling RAG for Enterprise Applications Best Practices and Case Study Experiences

Explore the complexities of deploying Retrieval-Augmented Generation (RAG) in enterprise environments. Learn about common challenges, best practices, and real-world case studies to effectively scale RAG systems for enhanced AI performance and reliability.

December 5, 2025

by Amlan Patnaik

· 2,974 Views

Can Generative AI Enhance Data Exploration While Preserving Privacy?

Generative AI lets teams explore data with natural-language queries, visualizations, and auto analyses while safeguarding privacy and compliance.

December 5, 2025

by None None

· 1,605 Views

Why Traditional QA Fails for Generative AI in Tech Support

A dual-layer AI framework ensures continuous quality and reliable performance of GenAI support agents in complex technical environments.

December 4, 2025

by Rohith Narasimhamurthy

· 2,818 Views

AI-Powered Data Integrity for ECC to S/4HANA Migrations

Ensure accurate SAP ECC-to-S/4HANA migrations with an AI-powered framework for automated data validation, reconciliation, and real-time insights.

December 4, 2025

by Gaurav Sharma

· 2,106 Views

Architectural Understanding of CPUs, GPUs, and TPUs

Learn about CPUs, GPUs, and TPUs — definitions, use cases, architectural differences, and above all, when to use CPUs, GPUs, and TPUs.

December 4, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 6,017 Views · 5 Likes

How to Use AI for Anomaly Detection

Apply AI to anomaly detection by training models on your data, setting baselines for normal behavior, and automating alerts for faster, accurate decisions.

December 4, 2025

by Laiba Noor

· 3,963 Views · 1 Like

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