AI/ML Resources

Using Agentforce Vibes to Understand Your Salesforce Org

AI-assisted Salesforce org analysis for field usage and permission set overlap, using Agentforce Vibes to accelerate routine governance tasks.

April 2, 2026

by Sathish Kumar Velayudam

· 1,920 Views

Avoiding Markdowns: Optimizing Order Sourcing Through the Agentic Shift

Agentic AI transforms retail order sourcing by using real-time demand, weather, and supply data to reduce markdowns, optimize inventory, and boost margins.

April 1, 2026

by Saurabh Kumar

· 1,966 Views · 1 Like

AI Coding Agents Have Created a New Problem: The Validation Bottleneck

AI coding agents can refactor a microservice in seconds. So why are developers still spending half their day waiting to find out if their code actually works?

April 1, 2026

by Arjun Iyer

· 4,391 Views · 5 Likes

Responsible AI Playbook: A Security, Governance, and Compliance Checklist for Safe Adoption

A practical playbook for deploying generative AI at scale, covering governance, security, risk controls, and best practices for safe, compliant production use.

April 1, 2026

by Pratik Prakash

CORE

· 3,674 Views

SELECT AI Query Integration Using Oracle Autonomous Database 26AI and OpenAI

A custom framework testing Oracle 26ai’s ability to convert natural language into SQL using the 22 TPC-H benchmark. With no prompt engineering, it achieves high accuracy.

April 1, 2026

by Sanjay Mishra

· 3,956 Views

Building a Video Evidence Layer: Moment Indexing With Timecoded Retrieval

Learn the Moment Indexing Pattern to build a Video Evidence Layer using OCR and ASR that provides verifiable, timecoded answers for knowledge management.

March 31, 2026

by Punitha Ponnuraj

· 2,367 Views · 2 Likes

Designing Production-Grade AI Tools: Why Architecture Matters More Than Models

Many AI tools fail in production not because of model quality, but due to architectural decisions around retries, cost control, observability, and multi-tenant safety.

March 31, 2026

by Aditya Gupta

· 1,722 Views · 1 Like

When AI Crashes: Classifying Failure Modes in Safety-Critical Software

AI fails silently in safety-critical systems — classify failures and enforce safety with voting, OOD detection, and a Simplex-style deterministic override.

March 31, 2026

by Rahul Karne

· 10,418 Views · 1 Like

Edge + GenAI: The Architecture Behind Instant Digital Experiences

Discover how GenAI at the edge unlocks real time digital experiences with low latency intelligence, responsive architecture, and next level customer engagement.

March 31, 2026

by Jyothsna devi

· 1,305 Views · 1 Like

Shipping GenAI Into an Existing App: How to Integrate AI Features Without Rewriting Your Stack

Learn a repeatable pattern for safely adding GenAI to existing apps. Choose workflows, define contracts, handle latency, build fallbacks, and roll out with telemetry.

March 31, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 1,949 Views · 2 Likes

Getting Started with Gemini Agents: Build a Data-Connected RAG Agent using Vertex AI Agent Builder

Build a production-ready RAG agent using Gemini and Vertex AI Agent Builder to query your private data with high accuracy and speed.

March 31, 2026

by Jubin Soni, FBCS

CORE

· 1,346 Views

A Practical Guide to Multi-Agent Swarms and Automated Evaluation for Content Analysis

This guide builds a Strands multi-agent content analysis system — powered by Ollama Llama 3.1 — with LLM-as-judge scoring for correctness and relevance.

March 30, 2026

by Anil Malakar

· 1,759 Views · 1 Like

AI Maturity Is the New Differentiator: Why Operationalization Matters More Than Model Capability

LLM advantage is fading. Enterprises must shift to operational maturity with governance, reliability, measurement, and modular architecture to scale AI in production.

March 30, 2026

by Frederic Jacquet

CORE

· 2,198 Views

Scaling AI Workloads in Java Without Breaking Your APIs

Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.

March 27, 2026

by Ramya vani Rayala

· 4,193 Views · 3 Likes

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 4,296 Views · 3 Likes

Why Good Models Fail After Deployment

Learn how feedback loops, distribution shift, and metric misalignment break machine learning systems in production, and what you can do about it.

March 27, 2026

by Oleksandr Pyvovar

· 8,743 Views · 51 Likes

The Self-Healing Endpoint: Why Automation Alone No Longer Cuts It

Partial, script-based automation is hitting a ceiling — so organizations are moving toward autonomous endpoint management systems.

March 27, 2026

by Anton Lucanus

CORE

· 3,213 Views

Essential Techniques for Production Vector Search Systems, Part 5: Reranking

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

March 27, 2026

by Pavan Vemuri

CORE

· 2,355 Views · 1 Like

Designing Stop Loss in Modern AI-Driven Automated Trading Systems

Stop losses are usually considered a no-brainer in automated trading setups. Any novice entering the space gets taught to use stop losses.

March 27, 2026

by Ruslan Malsagov

· 3,425 Views · 1 Like

Stop Leap-Second AI Drift in IoT Streams With PySpark

Leap seconds can corrupt timestamps and trigger AI drift in fintech IoT systems. Learn about drift types and how PySpark streaming fixes them in real time.

March 27, 2026

by Ram Ghadiyaram

CORE

· 2,301 Views · 1 Like

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