AI/ML Resources

AI Agents for DevOps on Kubernetes Need Real Engineering, Not Magic

Kubernetes incident triage: OpenTelemetry → Kafka → CrewAI → RBAC scale. DORA 2024: 75% AI use, 39% low trust. AI correlates, humans approve changes.

April 30, 2026

by Abdul Majid Qureshi

· 2,287 Views

5 Ways Azure AI Search Enhances Enterprise RAG Architectures

Azure AI Search enhances RAG through hybrid search, semantic reranking, and enterprise-grade security for scalable production AI apps.

April 30, 2026

by Jubin Abhishek Soni

CORE

· 3,274 Views

The LLM Selection War Story: Part 4 - Your Production Failure Testing Suite

Which LLM is safe for production? This testing suite measures real failure rates across medical, financial, and code review applications. Complete code included.

April 29, 2026

by Dinesh Elumalai

CORE

· 2,195 Views

Beyond Big Data: Designing Agentic Data Pipelines for AI Workloads

Learn how agentic data pipelines go beyond big data to power modern AI workloads with autonomous decision-making, real-time adaptability, and intelligent data.

April 29, 2026

by Liza Kosh

· 2,586 Views

Designing Intelligent AI Systems for Tax Anomaly Detection

A real intelligent AI system automatically detects anomalies, irregularities, and potential fraud by leveraging hybrid architectures and explainable predictive models.

April 29, 2026

by Sowjanya Karri

· 2,110 Views · 1 Like

Implementing Effective Document Fraud Detection in C#

This article discusses some of the challenges of (and solutions for) adding fraud detection logic to automated document processing pipelines.

April 29, 2026

by Brian O'Neill

CORE

· 2,501 Views

The Technical Evolution of Video Production: AI Automation vs. Traditional Workflows

Video editing is now a collaboration between humans and AI. This collaboration lets creators scale production faster and cheaper without losing the soul of their work.

April 29, 2026

by Faith Adeyinka

· 2,478 Views · 1 Like

Why Human-in-the-Loop Still Matters in AI-Assisted Coding

AI-assisted coding speeds up development, but human oversight is still needed to ensure the code is correct, safe, and maintainable.

April 29, 2026

by Satyam Nikhra

· 1,600 Views

The LLM Selection War Story: Part 3 - Decision Framework Through Failure Tolerance

Stop choosing LLMs by accuracy benchmarks. Three production case studies reveal why selecting models were based on their failure patterns.

April 28, 2026

by Dinesh Elumalai

CORE

· 2,443 Views · 2 Likes

65% of Enterprises Will Deploy Agentic AI by 2027: A Deep Technical Analysis of Readiness

Agentic AI is the next frontier for enterprises. This guide covers technical architectures, multi-agent design, and deployment readiness.

April 28, 2026

by Jubin Abhishek Soni

CORE

· 2,894 Views

Open-Source LLM Tools Worth Your Time

Building with LLMs in 2026 means more than picking a model and calling an API. This article covers the full open-source stack by defining tools and their usage.

April 28, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 3,677 Views · 2 Likes

Implementing Security-First CI/CD: A Hands-On Guide to DevSecOps Automation

This guide shows how to build a secure CI/CD pipeline with early scanning, policy-as-code, SBOMs, zero trust, and safe AI-driven remediation in DevSecOps.

April 28, 2026

by Boris Zaikin

CORE

· 2,581 Views

AI vs. Ageism: The Tech Industry’s Great Reset

AI is erasing tech’s age bias by boosting older workers’ speed and amplifying their experience—making them more productive, reliable, and valuable than ever.

April 28, 2026

by Chimela Caesar

· 1,860 Views · 1 Like

AI in Manufacturing 2026: Solutions, Benefits, Challenges & Implementation Strategy

AI in manufacturing is delivering measurable gains across quality control, predictive maintenance, supply chain optimization, and demand forecasting

April 27, 2026

by Pritesh Patel

· 1,940 Views

The LLM Selection War Story: Part 2 - The Six LLM Failure Archetypes That Will Wreck Your Production System

Benchmarks test success. Production tests failure. Six critical LLM archetypes destroyed our systems — here's the testing framework that prevents 89% of incidents.

April 27, 2026

by Dinesh Elumalai

CORE

· 2,804 Views

How AI Is Rewriting the Rules of Software Security: Machine-Speed Delivery, Shifting Risk, and New Control Points

AI-driven development expands attack surfaces; this article shows how continuous security, zero trust, and runtime enforcement scale DevSecOps in AI pipelines

April 27, 2026

by Apostolos Giannakidis

CORE

· 2,336 Views · 1 Like

Security Readiness Checklist: From AI Threats to Software Supply Chain Defense

Detect APTs with behavioral analytics and log correlation, building baselines and linking events to turn weak signals into actionable security detections.

April 27, 2026

by Akanksha Pathak

CORE

· 1,881 Views