Building AI Agents for Real-World Problems & Workflows // TRAIN BRAIN

Building AI Agents for Real-World Problems & Workflows

Learn more about Building and evaluating AI agents that work in the real world here → https://ibm.biz/~M1R5rMq8K
AI agents are powerful, but production is different. Shailaja Patel-Pranav explains how AI agents operate in real-world systems with workflows, policies, and orchestration. Learn how agents coordinate tasks, enforce rules, and stay aligned with human decision-making.
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IBM Technology

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Is patch management dead??

New AI models, token minimization and IBM’s new sub-1nm chip

Which AI model should you use??

Data Science Periodic Table Explained: ML, ETL, Analytics & Workflow

Have we finally solved social engineering? Plus: World Cup fraud, AI IDs and an IBM/OpenAI collab

5 AI Agent Terms You Need to Know

Rethinking the ROI of cybersecurity

AI in the SDLC: Rethinking AI Coding Tools & AI Agents

3‑2‑1 Backup Rule Explained: Protect Your Data from Disaster

Microsoft’s new AI models & bots dominate the internet

Building AI Agents for Real-World Problems & Workflows

AI agents can manage your passwords. Should we let them? Plus: The biggest Patch Tuesday ever.

Kagenti’s Approach to Multi-Agent Security for AI Agents

What Is AI Pair Programming? AI Coding Tools for Developers

Smart AI routing explained

Bridging Design Systems and Code with MCP and AI Agents

Claude Fable 5 is smarter?

Claude Fable 5 & Apple’s NVIDIA deal

AI That’s Too Dangerous For You? What we learned from S.A.T.A.N

New AI attack reality?

Can you social engineer an AI? Plus: AI worms and the nonhuman identity problem

Building AI Agent Systems and Scaling Challenges in Agentic AI

What Is Agentic Coding? How AI Agents Modernize Code

Kubernetes vs. OpenShift: Choosing DevOps and CI/CD Workflows

The future of software engineering, tokenmaxxing and AI in higher education

OpenClaw Security Risks: 6 Dangers of Autonomous AI Agents

Project Lightwell brings open source security into the AI era

The Most Important Gates in Quantum Computing Explained

Is AI lying to us??

Why AI Models Pause to Think: Test Time Compute Explained

Your Certs Are Expiring: Digital Certificate Management Explained

Cybersecurity's Telephone Game Problem?

Agent control planes & OpenAI model solves Erdős

Multi AI Agent Systems: When One AI Brain Isn’t Enough

First findings from Project Glasswing

The Four Types of Memory Every AI Agent Needs

Graph Neural Networks Explained: A Clear Guide to GNN Basics & Models

Five AI Risks That Can Get You Fired—And How to Avoid Them

AI at college graduations and why Claude blackmails

CAG vs Long Context: How AI Models Use and Remember Information

OpenAI’s Daybreak and Mistral’s Mythos competitor

How Agentic AI Transforms Maintenance and Asset Decisions

MCP vs ADK: How Modern AI Agents Connect and Work Together

Why AI Agents Break Zero Trust at the Last Mile

AI skills security, Open AI Deployment Company & zero days

Why Agentic AI Fails: Infinite Loops, Planning Errors, and More

LLMjacking: How hackers steal your AI API keys and stick you with the bill

Why AI Agents Need an Operating System

Predictive vs Generative AI: How They Work and When to Use Each

Agentic Consent Explained: How AI Agents Act Safely and Responsibly

Live from Think 2026: AI operating model, VC funding & CAIO evolution

The Rise of Crypto Agility: How to Secure Systems for the Quantum Era

Claude Security’s public beta, OpenAI’s five-point plan and cybersecurity’s Y2K moment

RAG's Evolution: From Simple Retrieval to Agentic AI

CLI vs MCP: How AI Agents Choose the Right Tool for the Job

Synthetic Monitoring Explained: A Guide to Reliable DevOps Workflows

How RAG, GraphRAG, and Context Engineering Improve AI Performance

Granite 4.1, IBM Bob & building a quantum ecosystem

Q‑Day Explained: How Quantum Computing Threatens Today’s Cryptography

Is open source safe? Featuring Mixture of Experts

What is a Supercomputer for AI? How GPUs Drive Machine Learning

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

Build, Reuse, or Hybrid? How Orchestration Powers Agentic AI

Apple’s new CEO & how AI understands intent

5 Podman Features You Should Know: Kubernetes & Containers Simplified

Should you let OpenClaw pen test your system? Plus: Cybersecurity for ephemeral software

Building a Team of AI Agents: Roles, Feedback, & Teamwork Explained

ADK vs RAG: How to Choose the Right AI Stack

Where Claude Mythos can help

What AI Agent Skills Are and How They Work

How AI, RAG, and Agents Transform Mainframe Operations

Claude Opus 4.7, Apple’s AI glasses and Allbirds AI pivot

GPT-5.4-Cyber: What you need to know

Post‑Quantum Security: How Lattice Cryptography Keeps Data Safe

Hackers Don’t Take Coffee Breaks ☕

Claude Mythos: Marketing hype or the end of cybersecurity?

The 7 Skills You Need to Build AI Agents

What is Physical AI? How Robots Learn & Adapt in Real Life

IAM for AI: 4 Steps to Secure and Futureproof Agentic Systems

What is AI Technical Debt? Key Risks for Machine Learning Projects