AI/ML Resources

Rethinking Cloud Compliance With an AI-Driven Approach

Learn how AI transforms cloud compliance with continuous monitoring, automated risk assessment, and intelligent data governance for secure operations.

December 30, 2025

by Atish Kumar Dash

· 1,862 Views · 2 Likes

Bias and Shortcut Tests for Vision Models: A Practical Test Suite From Real-World Experiments

High accuracy doesn't guarantee true understanding; your vision model might be riding on backgrounds and noise. Perform these tests before you trust it in the wild.

December 30, 2025

by Sai Teja Erukude

· 3,824 Views

How to Build a Self-Evolving AI Agent That Learns From Failure

This guide demonstrates how to transform brittle AI agents into resilient systems that reflect on failures and retain learnings to avoid repeating errors.

December 30, 2025

by Apratim Mukherjee

· 3,300 Views · 1 Like

Designing for Empathy: Human-Centered AI Patterns for Real Systems

This is a practical guide for developers to build empathy-aware AI with edge sensing, policy-driven actions, audit trails, and real-world app patterns.

December 30, 2025

by Mallesh Miryala

· 1,063 Views

The Coming Shift From Bigger AI Models to Smaller, Faster Ones

Smaller, specialized AI models are replacing giant LLMs. Learn why modular workflows deliver faster, cheaper, and more reliable results for enterprise AI.

December 29, 2025

by Chia-fu Kuo

· 1,596 Views

Manage Knowledge, Not Code

To ship faster and more reliably, teams must treat software development as a knowledge-optimization problem, not a coding problem.

December 29, 2025

by Chris Wardman

· 1,870 Views · 3 Likes

Small Language Models as Control Planes to Steer Complex Systems

Small language models don't just answer questions; they can act as the "control brain" that routes work across services, tools, and larger models.

December 29, 2025

by Sai Teja Erukude

· 3,510 Views

The Architecture of Prompts: Designing Reliable, Deterministic AI Systems

Prompts are engineered systems with five layers that produce deterministic, production-ready code instead of unreliable AI outputs.

December 26, 2025

by Mohan Sankaran

· 2,937 Views · 9 Likes

A Principled Framework for Scalable Experimentation and Reliable A/B Testing

Scalable experimentation framework enabling rigorous A/B testing, reliable metrics, and data-driven decisions across engineering teams.

December 25, 2025

by Sayantan Ghosh

· 5,713 Views · 1 Like

AI-Driven Schema Evolution and Adaptive Pipelines

AI-driven schema evolution enables self-healing data pipelines that autonomously detect, adapt to, and govern continuous schema changes for reliable enterprise analytics.

December 25, 2025

by Rambabu Bandam

· 2,142 Views · 1 Like

Autonomous Pipelines: Transforming CI/CD With Full Automation

The future of CI/CD is about moving beyond simple automation to truly intelligent, autonomous systems and code flows that flow seamlessly and safely to production.

December 25, 2025

by Lakshmi Prasad Rongali

· 1,811 Views · 2 Likes

Blockchain + AI Integration: The Architecture Nobody's Talking About

Blockchain-AI integration demands new architectures: off-chain computation with on-chain verification, solving trust issues in decentralized intelligent systems.

December 23, 2025

by Dinesh Elumalai

CORE

· 3,111 Views · 2 Likes

Phantom APIs: The Security Nightmare Hiding in Your AI-Generated Code

Phantom APIs are now emerging through AI-generated code, creating hidden attack surfaces. Learn how they form and how to detect them before attackers do.

December 22, 2025

by Igboanugo David Ugochukwu

CORE

· 2,952 Views · 3 Likes

LLMOps Explained: How It Works, Key Benefits, and Best Practices

This article discusses LLMOps, how it works, key benefits, and best practices to streamline large language model operations for efficiency and scalability.

December 22, 2025

by Lilly Gracia

· 1,423 Views · 1 Like

Fortifying Cloud Security Operations with AI-Driven Threat Detection

Transforming cloud security operations by leveraging predictive and intelligent automation for faster, smarter threat detection and response.

December 19, 2025

by Atish Kumar Dash

· 1,209 Views · 1 Like

Technology Evolution From Traditional Automation to AI-Driven MCP Servers

AI-driven Multi-Cloud Platform (MCP) servers marks a shift from rigid, rule-based workflows to adaptive, intelligent systems.

December 19, 2025

by Shivi Kashyap

· 2,146 Views · 1 Like

Looking at the Evolving Landscape of ITSM Through the Lens of AI

Elevating the ITSM Experience with Intelligent Workflows, Predictive Insights, and Autonomous Service Experiences for Smarter IT Operations.

December 18, 2025

by Atish Kumar Dash

· 1,217 Views · 1 Like

Building AI Agents Using Docker cagent and GitHub Models

This article discusses the power of quickly building AI agents using the Docker cagent framework, along with integrating GitHub Models to avoid vendor lock-in.

December 18, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 2,691 Views · 1 Like

We Taught AI to Talk — Now It's Learning to Talk to Itself: A Deep Dive

Human-crafted prompts are becoming obsolete. The future of AI lies in "Intent Engineering," where AI systems generate and optimize their own prompts internally.

December 18, 2025

by Nidhi Sharma

· 2,222 Views · 1 Like

Why Your UEBA Isn't Working (and How to Fix It)

Traditional UEBA can't catch modern threats. Learn how AI-powered behavioral analytics detects sophisticated attacks instantly without months of training.

December 18, 2025

by Alvin Lee

CORE

· 1,088 Views · 1 Like

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