AI/ML Resources

Implementing Decentralized Data Architecture on Google BigQuery: From Data Mesh to AI Excellence

Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.

March 3, 2026

by Jubin Soni, FBCS

CORE

· 3,029 Views · 1 Like

How Power Automate Helps Analysts Send Alert Emails Faster and How AI Builder Takes It to the Next Level

Power Automate automates data-driven alert emails, eliminating manual dashboard checks. With AI Builder, alerts become intelligent and provides proactive decision-making.

March 3, 2026

by Harsh Patel

· 2,727 Views

AWS Step Functions + AI: Smarter Orchestration in Modern Applications

Learn to combine AWS Step Functions with Generative AI for scalable orchestration, featuring architecture patterns and code examples

March 2, 2026

by Jubin Soni, FBCS

CORE

· 1,906 Views

Idempotency in AI Tools: The Most Expensive Thing Teams Forget

An analysis of how retries cause duplicate inference in AI tools and how idempotency keeps production systems predictable and cost-controlled.

March 2, 2026

by Aditya Gupta

· 2,410 Views · 1 Like

5 Security Considerations for Deploying AI on Edge Devices

When securing AI on edge devices, consider data protection in transit and at rest, secure OTA updates, identity and access management, and more.

March 2, 2026

by Zac Amos

· 1,684 Views

Agentic AI: An Architecture Blueprint for Intelligent Clients

Agentic AI turns Android apps into intelligent clients that understand user goals, plan multi-step tasks, and call tools safely.

March 2, 2026

by Mohan Sankaran

· 1,909 Views · 2 Likes

Code Rewriting With AI and TDD

Exploring the use of TDD and AI to rewrite projects with architectural debt, and how TDD in these cases can be a guardrail against hallucinations.

March 2, 2026

by Baubak Gandomi

· 2,299 Views

Mastering the AWS Well-Architected AI Stack: A Deep Dive into ML, GenAI, and Sustainability Lenses

Use AWS’s ML, GenAI, and Sustainability lenses together to build AI systems that are production-ready, governed, cost-efficient, and energy-efficient.

February 27, 2026

by Jubin Soni, FBCS

CORE

· 2,040 Views · 1 Like

End-to-End Automation Using Microsoft Playwright CLI

Learn how Microsoft Playwright CLI enables token-efficient, scalable browser automation for AI coding agents, improving performance and reducing costs.

February 27, 2026

by Kailash Pathak

CORE

· 3,295 Views

Unified Intelligence: Mastering the Azure Databricks and Azure Machine Learning Integration

Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.

February 27, 2026

by Jubin Soni, FBCS

CORE

· 1,501 Views

Similarity Search on Tabular Data With Natural Language Fields

Let us break down relational data silos with vector embeddings, unifying numerical, categorical, and natural-language fields into one semantic representation.

February 27, 2026

by CORRADO DE BARI

· 1,111 Views

AWS Bedrock vs. SageMaker: Choosing the Right GenAI Stack in 2026

Deciding between Bedrock's serverless ease and SageMaker's deep control? This guide breaks down the 2026 AWS GenAI landscape for you.

February 26, 2026

by Jubin Soni, FBCS

CORE

· 1,796 Views · 1 Like

I Watched an AI Agent Fabricate $47,000 in Expenses Before Anyone Noticed

This explores AI agent failures with organizations deploying autonomous systems faster than their governance, monitoring, and security controls can safely support.

February 26, 2026

by Igboanugo David Ugochukwu

CORE

· 2,650 Views

A Practical Guide to Building Generative AI in Java

Genkit Java makes building generative AI features in Java finally simple. With typed inputs/outputs, structured LLM responses, built-in observability, a powerful DevUI.

February 26, 2026

by Xavier Portilla Edo

CORE

· 3,609 Views · 3 Likes

Intelligent Load Management for LLM Calls: From Static Rate Limits to Priority-Aware "Agent QoS"

Use a fair, priority-based tool scheduler instead of static rate limits, leveraging concurrency caps, signals, abort rules, and safe degradation.

February 26, 2026

by Anusha Kovi

CORE

· 1,331 Views

From Keywords to Meaning: The New Foundations of Intelligent Search

Learn about why keyword search fails at scale and how cloud-native vector databases enable semantic, AI-powered retrieval for smarter, more reliable results.

February 25, 2026

by Amit Kumar Padhy

· 1,153 Views

How We Cut AI API Costs by 70% Without Sacrificing Quality: A Technical Deep-Dive

Intelligent caching and model routing reduced our AI API costs from $12,340 to $3,680 per month. Production-tested optimizer. Open source. MIT license.

February 25, 2026

by Dinesh Elumalai

CORE

· 1,823 Views · 1 Like

Chunking Is the Hidden Lever in RAG Systems (And Everyone Gets It Wrong)

Chunking decisions made early in a RAG pipeline often determine whether retrieval works at all. Here is a practical look at why that matters.

February 25, 2026

by Anshul Sharma

· 1,540 Views

Cagent: Dockers newest low code Agentic Platform

Docker’s cagent is a new open-source, low-code/ YAML-centric AI agent builder and runtime. Instead of writing code, you describe agents and cagent runs them.

February 25, 2026

by Siri Varma Vegiraju

CORE

· 2,105 Views

How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide

A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.

February 24, 2026

by Manthan Bhavsar

· 1,774 Views

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