AI/ML Resources

Edge AI: Why Inference Is Moving Away From the Cloud

Edge inference thrives on-device for real-time, private AI. Advances in hardware and compression cut latency and costs, pushing AI away from the cloud.

September 21, 2026

by Uthej Mopathi

CORE

· 2,144 Views · 3 Likes

MCP vs REST/HTTP API vs Kafka: The Architect's Guide to Agentic AI Integration

MCP, Kafka, and REST APIs are not the same: this comparison maps each to the right layer of your agentic AI architecture.

September 18, 2026

by Kai Wähner

CORE

· 3,822 Views · 1 Like

Designing Human-in-the-Loop Approval Gates for Enterprise AI Agents

Enterprise AI agents should automate low-risk tasks, require approval for sensitive actions, and maintain strict access, logs, and review.

September 18, 2026

by Praveen VR

· 3,463 Views · 3 Likes

RAG, Vector Databases, and MCP: Wiring Them Together for Production

This article offers a practical walkthrough for engineers moving past the "RAG demo" stage into systems that hold up in production.

September 18, 2026

by Balaji Venkatasubramaniyar

CORE

· 3,053 Views · 1 Like

Common Pitfalls in RAG Applications: What to Avoid When Using Vector Search and Embeddings

RAG is easy to launch and hard to keep reliable. Here are the most common failure modes, their causes, and the Databricks-specific fixes.

September 17, 2026

by Seshendranath Balla Venkata

· 2,659 Views · 1 Like

Federated MCP Control Plane: Policy-Aware Access to Multi-Backend Tool Servers

A federated gateway replaces scattered local MCP credentials with brokered, short-lived, least-privilege tokens plus the guardrails needed to run it safely.

September 17, 2026

by Harish Gaggar

· 2,950 Views · 3 Likes

A Senior Engineer’s Guide to Foundry IQ, MCP, and the OpenAI Agents SDK

This hands-on guide shows senior engineers how to combine Microsoft Foundry, Foundry IQ, MCP, and the OpenAI Agents SDK into a flexible agent architecture.

September 17, 2026

by Jubin Soni, FBCS

CORE

· 5,388 Views · 3 Likes

Stop Overfeeding Your AI Agent's Context Window

More context doesn't fix a confused AI agent. Skills, MCP, RAG, and memory each solve one specific problem: procedure, connectivity, documented knowledge & experience.

September 17, 2026

by Faisal Feroz

· 4,528 Views · 3 Likes

Context Engineering: The Missing Piece in Agentic Systems

Let's understand what context engineering is, its importance in agentic systems and how to use it to build efficient AI systems.

September 17, 2026

by Pavan Belagatti

CORE

· 3,543 Views · 1 Like

AI Architectures That Drive Real Business ROI

Practical guide to 5 AI architectures that drive business ROI: decision intelligence, personalization, single-agent, multi-agent, and autonomous systems.

September 17, 2026

by Ram Ghadiyaram

CORE

· 3,359 Views · 1 Like

The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Process intelligence, event-driven integration, and trusted agentic AI must be designed as one converged architecture for real business value.

September 16, 2026

by Kai Wähner

CORE

· 2,811 Views · 1 Like

Why Real-Time Data Pipelines Are Becoming the Foundation of Industrial AI

Real-time data pipelines enable trustworthy industrial AI through continuous context. They ensure the right data reaches the model at the right time.

September 16, 2026

by Ajay Kumar Govindaram

· 2,958 Views · 2 Likes

The AI Evolution in Software Testing: A QA Manager's Blueprint for Staying Irreplaceable

While AI will revolutionize software testing, it doesn’t mean that qualified QA engineers will become unnecessary. Here's an action plan to stay relevant.

September 16, 2026

by Kiran Paul Kanikaram

· 2,482 Views · 2 Likes

Event-Driven AI Systems With Kafka and Autonomous Agents

Kafka and autonomous agents enable scalable, event-driven AI systems with reliable orchestration, durable execution, and real-time enterprise decision-making.

September 16, 2026

by Uthej Mopathi

CORE

· 3,447 Views · 4 Likes

Architecting Production AI Across Clouds: Patterns That Decide System Survival

In production, enterprise AI rarely fails at the model. It fails in the architecture around it. Here are the cross-cutting patterns that work.

September 16, 2026

by VenkataSrinivas Kantamneni

· 2,935 Views · 1 Like

AI Transformations and Agile Transformations Rhyme

AI transformations repeat Agile’s mistakes, from top-down mandates to cost goals. The A3 Delegation System makes AI decisions visible at the workflow level.

September 16, 2026

by Stefan Wolpers

CORE

· 2,107 Views · 2 Likes

Agentic Systems and Design Patterns

A complete, practical guide to agentic AI systems covering single versus multi-agent architectures and the six core design patterns.

September 16, 2026

by Ram Ghadiyaram

CORE

· 2,914 Views · 3 Likes

Policy-as-Code for AI Systems: Enforcing Governance at the Infrastructure Layer

The compliance policy existed. The model didn't care. Turning AI governance from a signed document into infrastructure gates nothing can bypass

September 16, 2026

by Anusha Mukka

· 2,657 Views · 3 Likes

Microsoft’s New AI Rules Say Models Must Never Resist Human Shutdown

Microsoft has drafted a “Humanist AI” code requiring future models to accept human shutdown, follow non-negotiable safety rules, and remain under control.

September 15, 2026

by Aminu Abdullahi

· 3,594 Views · 1 Like

Altman, Musk Back Amodei’s AI Warning: The Frontier May Be Moving Too Fast

Dario Amodei called for slower frontier AI development, with Sam Altman and Elon Musk signaling support amid growing concerns over safety and cybersecurity.

September 15, 2026

by Aminu Abdullahi

· 3,123 Views · 2 Likes

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