AI/ML Resources

How to Use AI to Enhance Scrum Ceremonies

This article cites some trends on Scrum and AI usage and provides details on how AI tools can help automate Scrum ceremonies without impacting human values.

September 4, 2025

by Arpit Garg

· 4,109 Views · 2 Likes

Protecting PII in LLM Applications: A Complete Guide to Data Anonymization

One of the biggest concerns companies face when implementing Large Language Models (LLMs) is data privacy and protection.

September 4, 2025

by Swati Tyagi

· 13,744 Views · 1 Like

Building AI Agents? 5 Critical Questions to Ask Before You Automate

Five essential questions to ask before deploying AI agents, focused on data, context, trust, governance, and real-world readiness.

September 4, 2025

by Pradeep Kumar Sharma

· 2,420 Views

Take AI Out of Your Silos—Why Team Experience Trumps Developer Tools

Stop optimizing individual dev tools with AI. Team workflows need AI that carries context end-to-end, not another siloed copilot that makes you its secretary.

September 4, 2025

by Michael Smith

· 1,839 Views · 1 Like

Active Learning and Human-in-the-Loop for NLP Annotation and Model Improvement

A practical guide to using active learning and human-in-the-loop workflows for efficient NLP annotation, model training, and continuous improvement.

September 4, 2025

by Surya Teja Appini

· 3,290 Views · 5 Likes

DSLs vs. Libraries: Evaluating Language Design in the GenAI Era

Compare general-purpose and domain-specific languages, their AI-driven evolution, and how they optimize data pipelines and trading workflows efficiently.

September 3, 2025

by Raghav Talwar

· 3,207 Views · 1 Like

Toward Explainable AI (Part 6): Bridging Theory and Practice—What LIME Shows – and What It Leaves Out

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

September 3, 2025

by Frederic Jacquet

CORE

· 2,275 Views

Technical Deep Dive: Scaling GenAI-Enhanced SBOM Analysis from Trivy Fix to Enterprise DevSecOps

Discover how Trivy PR #9224 enables complete SBOM dependency mapping, powering GenAI-driven DevSecOps automation and millions in enterprise cost savings.

September 2, 2025

by Ravi Sastry Kadali

· 2,818 Views · 1 Like

PII Leakage Detection and Measuring the Accuracy of Reports and Statements Using Machine Learning

Securing sensitive data and validating the correctness of reports and statements by checking for inconsistencies with machine learning capabilities.

September 2, 2025

by Malai Arasu Paneerselvam

· 2,395 Views · 4 Likes

Mastering Prompt Engineering for Generative AI

A hands-on guide to advanced prompt engineering for LLMs-covering CoT, few-shot, zero-shot, decoding controls, and retrieval augmentation.

September 2, 2025

by Kacper Michalik

· 1,754 Views · 1 Like

Build Smarter Next-Gen AI Apps: A Step-by-Step LangChain v0.3+ Guide

Create next-gen Artificial Intelligence applications using the LangChain Python framework — with real code, hands-on insights, and a look inside its architecture.

September 2, 2025

by Shubham Gupta

· 2,461 Views · 3 Likes

The AI Co-Pilot: How to Lead When Your Team's Best Player Is a Machine

AI now writes the code. Leaders must provide the vision, ask the right questions, and champion the creative work only humans can do.

September 1, 2025

by Rupesh Dabbir

· 3,165 Views · 4 Likes

Enhancing Productivity With RAG-Based GenAI Solutions

Learn how RAG on Amazon Bedrock simplifies content creation by combining data retrieval with generation, how it enhances AI capabilities, and boosts efficiency.

September 1, 2025

by Satrajit Basu

CORE

· 3,201 Views · 2 Likes

The Statistical AI Parrot in Your Sprint

In this article, you will learn why artificial intelligence will not replace your Agile team and why ignoring it is a mistake.

September 1, 2025

by Stefan Wolpers

CORE

· 2,544 Views · 4 Likes

Toward Explainable AI (Part 5): Bridging Theory and Practice—A Hands-On Introduction to LIME

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

September 1, 2025

by Frederic Jacquet

CORE

· 2,207 Views · 3 Likes

Why It’s Time to Reevaluate Quality Control Methods in Data Labeling

Are you still using outdated QC methods for data labeling? Find out why it’s time to update your approach and how you can do it for better AI model performance.

August 29, 2025

by Nick Pegg

· 2,431 Views · 2 Likes

MCP for Agentic Systems: The Missing Protocol for Autonomous AI

To build scalable AI agents, replace custom state logic with MCP to manage the agent's entire lifecycle of planning, tool use, and memory.

August 29, 2025

by Karthik Puthraya

· 2,635 Views · 3 Likes

Toward Explainable AI (Part 4): Bridging Theory and Practice—Beyond Explainability, What Else Is Needed

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

August 29, 2025

by Frederic Jacquet

CORE

· 1,820 Views · 5 Likes

Building Recommendation Engines With AI and SQL

Let's explore how AI and SQL are increasingly integrated to automate recommendation engines, simplifying the process for businesses.

August 28, 2025

by Ramalakshmi Murugan

· 1,792 Views · 1 Like

Practical Guide to Snowflake Performance Tuning With SQL and AI Enhancements

This guide provides hands-on strategies to boost Snowflake performance through smart warehouse configurations, SQL optimizations, and AI-powered features.

August 28, 2025

by munikrishnaiah sundararamaiah

· 1,996 Views · 1 Like

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