Create a Secure HR AI Agent with Claude Code
Calen Bedford, Security Architect at Insight Global, will walk through how to build an HR-focused AI agent in Claude Code using security-first design patterns.
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Calen Bedford, Security Architect at Insight Global, will walk through how to build an HR-focused AI agent in Claude Code using security-first design patterns.
Casius Sibanda Lee shows you how to build a memory-powered research agent using Claude Code and Oracle AI Database as the persistent memory core.
Maarten Van den Broeck, Learning Solutions Architect at DataCamp, shows you how to use Claude Cowork to build a competitor research bot for real productivity gains.
Richie and Rami explore time series foundation models and the case for scaling, feature engineering in the business world, communicating forecast uncertainty to stakeholders, the evolving role of data scientists as architects, and much more.
Richie and Shireesh explore how AI agents are reshaping data stacks, why unified platforms like Fabric matter, how semantic models and ontologies reduce confusion in metrics, SQL and NoSQL choices on Azure, Postgres to Cosmos DB with guidance for builders, and much more.
No stupid questions.
We live in exciting times. What happens next?
What should you learn to get hired or promoted?
Act like a boss (of an AI-ready team).
Run AI training that makes a difference.
AI for everybody else.
You co-worker is AI. Time to transform your org.
Everyone deserves a world-class personal tutor.
Laura Wiedel walks you through building a customer marketing funnel using Excel and Copilot.
Richie and Danielle explore AI agents at work, experimentation with guardrails, data privacy, access, OpenClaw automation wins and failures, token costs, tying AI plans to P&L strategy, how data teams handle unstructured data governance, and much more.
Nyah Macklin, Senior Developer Advocate for AI at Neo4j, will show you how to engineer context effectively for AI applications.
Richie and Eric explore world models as simulators for action, the jump from book intelligence to physical and social skills, why long-horizon planning is still hard, architectures, robots, data generation, open K2 Think LLMs, virtual-cell biology, and much more.
Experts discuss what it really takes to deploy AI in healthcare and life sciences.