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Agentic AI Training Datasets, GraphRAG for Healthcare, the ODSC AI East Schedule, and AI Project…

The ODSC AI East 2026 Schedule is LIVE

ODSC - Open Data Science · 2026-04-02 16:01 · 1 claps · 3.7 min read
#data-science #artificial-intelligence #ai #open-source #odsc
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Wiki topics: RAG · RAG & Retrieval AGT · AI Agents ML · Machine Learning AI · AI · General 🔓 · Open Source 🔬 · Science · General

Agentic AI Training Datasets, GraphRAG for Healthcare, the ODSC AI East Schedule, and AI Project Management

The ODSC AI East 2026 Schedule is LIVE

What does it actually take to move from experimenting with AI… to building systems that work in production? Explore 300+ hours of sessions designed for practitioners — covering the tools, workflows, and real-world tradeoffs behind modern AI systems

The current deal ends Friday — register now!

Stop Building for the Demo. Start Building for the Decision

Most AI initiatives don’t fail — they fade. Learn why the “Sprint Trap” kills enterprise AI value and how to design systems that actually last.

15 Datasets for Training and Evaluating AI Agents

Explore 15 essential datasets for training and evaluating AI agents, including tool calling, web navigation, and coding benchmarks like SWE-bench and WebArena.

Why Text-Only RAG Falls Short in Healthcare — And How GraphRAG Can Help

In this post, the author shares key ideas from a GraphRAG architecture he developed for medical and life sciences applications.

From Prompting to Orchestrating: What is Happening in 2026

As we shift into 2026, we are seeing a transition that is turning professionals across the board into agent managers and workflow architects.

Video of the Week: ODSC AI West 2025 LLMs that think: Demystifying Reasoning Models by Sara Zanzottera

In this talk, we will look beyond the hype of new LLMs, get an intuitive understanding of the way they work, and understand the pros and cons of this new crop of models.

ODSC Highlights

Free ODSC AI East 2026 Sessions You Can See with an Expo Pass

Here, we highlight select in-person sessions open to Expo Pass holders, from major keynotes to partner-led talks and demo sessions, so you can plan your visit.

ODSC AI East 2026 — Explore the Schedule!

Check out our interactive schedule explorer here and find the sessions that are right for you.

Reasons Why an AI Conference is the Right Idea for Your Career

Investing in an AI conference pays dividends. You’ll learn from practitioners who’ve shipped production systems, dramatically accelerate your knowledge, forge meaningful professional connections, and spot the trends that shape tomorrow’s roles.

Register Your Interest for Our New AI Business Newsletter

Interested in learning more about AI in business? Register your interest here and be among the first to receive our new newsletter when we kick it off.

Leadership and Careers

The Leap from Technical Project Management to AI Project Management: How to Make the Leap

Learn how AI project management differs from traditional PM, from data-first workflows to continuous evaluation, cross-functional teams, and long-term model monitoring.

Ben Armstrong of MIT on the Future of Work and Adapting to Technological Change

In this interview, Ben discusses the future of work alongside AI, the parallels of early internet adoption, generative AI integration, and staying competitive in the age of AI.

Governing Agentic AI: Why Enterprise AI Risk is Getting Harder

Learn how agentic AI is reshaping governance, risk, and trust in enterprise systems, and what organizations must do to safely deploy autonomous AI at scale.

Data Science & AI News

Google AI Compression Breakthrough Pressures Memory Chip Stocks

A new artificial intelligence breakthrough from Google is shaking investor confidence in the memory chip sector, triggering a sell-off across major players such as Samsung, SK Hynix, and Micron.

TurboQuant Redefines AI Compression Efficiency for Large-Scale Models

Google’s TurboQuant introduced a new class of quantization algorithms that reduce AI model memory usage while preserving accuracy, and more.

Disney Exits OpenAI Deal Following Sora Shutdown

Disney exited its OpenAI partnership after the shutdown of the Sora AI video app, signaling shifts in AI video strategy and industry dynamics.

Anthropic Expands Agentic AI With Claude Computer Control Feature

Anthropic introduced a new Claude feature that allows AI agents to control user computers, signaling a major step forward in agentic AI.

New Podcast Episode: From AI Hype to Enterprise Execution: How to Actually Scale AI in 2026 with Linda Yao

Linda shares how enterprises can move beyond AI experimentation into real-world execution by focusing on hybrid AI strategies, governance, and organizational readiness.

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Upcoming Webinars, Meetups, and Ai+ Live Training Sessions

NYC Meetup: MCP in the Wild — The Future of Data Agents in Production

Thursday, April 2nd, 5:30 PM — 8:00 PM

​Join us in the heart of New York City on April 2nd to explore cutting-edge MCP use cases, solve implementation challenges, and learn best practices for building production-ready data agents. We’re bringing together NYC’s top engineers and AI visionaries to move beyond the hype and into high-impact, agentic workflows.

Webinar: Trust What You Can Trace: Making Agentic AI Explainable, Secure, and Enterprise-Ready

Tuesday, April 7th, 12:00 PM

This webinar introduces the AI Explainability Scorecard, a practical framework for evaluating the transparency of AI systems based on criteria such as faithfulness, consistency, accessibility, and comprehensibility.

In-Person Training: The London Agentic AI Workshop

Thursday, May 7th, London

This workshop is your chance to get ahead of the curve. In this hands-on day, you’ll learn how agents reason, plan, and act, and you’ll build your own working prototypes that showcase these capabilities.

Webinar: Build Real-Time AI Agents with Context Engineering on Google Cloud

Thursday, May 7th, 12:00 PM

AI agents are only as good as the data they can access, yet legacy architectures often fail to provide the real-time context agents require. This session explores context engineering: the foundation for ensuring data freshness and quality.


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