We’re excited to have Scott Askinosie, James Luan, and Kiran Bondalapati joining the panel “The Attack Is Already in Your Index” at the Agentic AI Conference! 🎙️ Scott is Principal AI Architect for Knowledge and Memory Systems at SteelEngine. James is the CTO of Zilliz, Chair of the Milvus community, and a member of the LF AI & Data Foundation’s Technical Advisory Committee. Kiran is an Engineering Leader at Glean, building enterprise AI systems with trusted context, permissions, and agentic workflows, and was previously VP of Engineering at TRM Labs. In 2025, researchers embedded instructions in an ordinary web form and watched an agent retrieve sensitive CRM records and send them to an external address. Nothing about the model was compromised: the payload arrived the way all context does. As agents pull from documents, tool responses, and memory, that content becomes executable in a way most security reviews still don’t treat it. This panel covers what teams are actually putting in place: provenance tracking, validation of external inputs, and detection for content nobody wrote by hand. Expect a real debate on whether poisoned context can be reliably caught and cleaned, or whether the only durable answer is keeping untrusted content away from anything privileged. 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/53aFU #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to welcome Kiran Bondalapati, Engineering Leader at Glean, to the Agentic AI Conference! 🎙️ Kiran will be joining the panel “The Attack Is Already in Your Index.” As AI systems pull from documents, tool responses, and memory stores, that content becomes something an agent can act on, in a way most security reviews still don’t account for. This panel will treat poisoned context as a present-day audit question, not a future threat, and look at what teams are doing about it, from tracing actions back to their source to keeping untrusted content away from anything privileged. At Glean, Kiran works alongside software, data, machine learning, AI, security, and legal professionals to build enterprise AI systems, from trusted context and permissions to agentic workflows and the infrastructure behind them. With more than 20 years in the technology industry, Kiran was previously VP of Engineering at TRM Labs, the blockchain intelligence company, and earlier worked on Uber’s compute infrastructure and on micro-virtualization at Bromium. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/p3mVG #datasciencedojo #agenticaiconference #futureofdataandai

How do agents work, and how should they? 🤖 The RAG Pack is coming to the Agentic AI Conference! Luis Serrano, Chris McCormick, Jay Alammar, and Josh Starmer, four AI educators and the co-founders and instructors of zurl.co/1c7pW, come together on one stage to take on both halves of that question. The RAG Pack began with a course idea from Luis that the others wanted to build together. Their courses, including Reinforcement Learning for LLMs and Introduction to Agents, are intuition-first, with visuals, code, and formulas side by side. You probably already know their work: Jay co-authored Hands-On Large Language Models and An Illustrated Guide to AI Agents, Luis wrote Grokking Machine Learning, Josh wrote The StatQuest Illustrated Guides to Machine Learning and to Neural Networks and AI, and Chris’s deep-dive tutorials on BERT, transformers, and NLP are go-to references for practitioners. Now hear all four together, live. Swipe through to meet the Pack. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/tbLwC #datasciencedojo #agenticaiconference #futureofdataandai

What’s new and what’s next from Google DeepMind? See it live. 🚀 Join Paige Bailey, AI Developer Relations Lead at Google DeepMind, for a first-hand look at the latest models and agentic workflows coming from Google DeepMind at the Agentic AI Conference. What you’ll take away: ✅ Live demos with Gemini 4, NanoBanana 2.1, Gemini TTS, and more ✅ A first-hand look at the agentic workflows coming from Google DeepMind ✅ Hands-on coding patterns for going from prototype to production with next-gen autonomous systems Paige has helped define the developer experience for Gemini, PaLM 2, and Gemma, and presented AI Studio, the Gemini APIs, and new additions to Antigravity in the developer keynotes at Google I/O ‘25 and ‘26. Swipe through for the details. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/Zg2SW #datasciencedojo #agenticaiconference #futureofdataandai

Six panels on what it really takes to trust AI agents in production. 🔐 This year’s Agentic AI Conference brings together leaders from Docker, Google, Databricks, Cohere, Glean, deepset, Together AI, LandingAI, and more for six candid conversations on security, compliance, governance, and alignment: 1️⃣ How Sovereign Is Sovereign AI? What hosting your own weights, data, and compute actually buys 2️⃣ Secure AI Needs Forward Deployed Engineers: Why compliant deployment happens through people embedded in the organization 3️⃣ Teammates, Not Tools: Roles, authority, and accountability for AI agents 4️⃣ How Do Agents Work, and How Should They? The RAG Pack on how AI agents work, and where they fail 5️⃣ Every Sandbox Ends Up with Exceptions: Why isolating agents is straightforward until they need to be useful 6️⃣ The Attack Is Already in Your Index: Why retrieved documents, tool responses, and memory are the softest way in Every panel is built around a real disagreement, so expect honest debate, not a shared script. Swipe through to see each panel and who’s on it. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/jxigC #datasciencedojo #agenticaiconference #futureofdataandai

🔴 Happening today at 11:00 AM PT A coding agent that can only plan is a coding agent that can’t ship. Today, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, gives one a real workspace, live: 🛠️ Files, code execution, tests and Git 🎯 Tool design, so the agent uses them reliably 🛡️ A sandbox, so it acts freely without putting your systems at risk 🔌 Developer tools over MCP The payoff: the agent opens a PR-style diff that passes CI. It’s free, it’s virtual, and there’s still time to grab a spot 👇 🔗 zurl.co/ZyQzu #CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

Data agents rarely fail loudly. They return plausible numbers, query data they shouldn’t, and leave no trail you can audit. 🔍 Join Benjamin Squire, Senior Developer Advocate at Neo4j, for the hands-on tutorial “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory” at the Agentic AI Conference. You’ll watch one text-to-SQL agent run twice over a realistic 33-table BigQuery warehouse, once with the usual list-tables-and-guess tooling and once with graph-based context from two Neo4j Labs projects. What you’ll learn: ✅ Add a semantic layer of governed metrics, business synonyms, and sensitivity tags, checked before any query runs ✅ Record every reasoning step with auditable agent memory ✅ Answer “who accessed this data, and why?” with a single graph query ✅ Trace a planted prompt injection to its source and quarantine it You’ll leave with a public repo to rerun everything yourself. Swipe through for the details. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/uvDhg #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to welcome Paige Bailey, AI Developer Relations Lead at Google DeepMind, to the Agentic AI Conference! 🎙️ Paige will be leading the tutorial “What’s New and What’s Next from Google DeepMind.” Get a first-hand look at the latest models and agentic workflows coming from Google DeepMind, with live demos and hands-on coding patterns featuring Gemini 4, NanoBanana 2.1, Gemini TTS, and more, and learn how to go from prototype to production with next-gen autonomous systems. At Google DeepMind, Paige works on radically improving the developer experience for generative AI. With more than 15 years of experience bridging cutting-edge machine learning research and tangible business value, Paige has been instrumental in defining the developer experience for Google’s most advanced generative models, including Gemini, PaLM 2, and Gemma, and presented AI Studio, the Gemini APIs, and new additions to Antigravity in the developer keynotes at Google I/O ‘25 and ‘26. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/FbGlU #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to have Luis Serrano, Founder of Serrano Academy, Chris McCormick, AI Researcher and Educator at InnerWorkings AI, Jay Alammar, Director and Engineering Fellow at Cohere, and Joshua Starmer, Founder of StatQuest, joining the panel “How Do Agents Work, and How Should They Work?” at the Agentic AI Conference! 🎙️ Together they’re the RAG Pack, a group of AI educators teaching how AI agents actually work. Agents that look impressive in a demo often stall in practice, and the reason is usually hidden inside the loop of model, context, tools, and results. The panelists will break that loop down step by step, explain where retrieval, memory, and planning help and where they break, and look at how reinforcement learning is teaching models to use tools and reason over many steps. Expect a candid conversation on when an agent is the right design at all, how much autonomy it deserves, and how to evaluate whether it’s really working. 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: zurl.co/lE4uX #datasciencedojo #agenticaiconference #futureofdataandai

A coding agent that can only plan is a coding agent that can’t ship. 🛠️ This Wednesday, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, gives a coding agent a real workspace, live: ✅ The core workspace: file access, code execution, tests and Git ✅ Tool design, so the agent uses its tools reliably ✅ Sandboxing, so it acts freely without putting your systems at risk ✅ MCP, to extend its reach with developer tools The payoff: the agent opens a PR-style diff that passes CI. Built for AI and ML engineers, platform and DevOps engineers, and technical leads exploring MCP. It’s Part 3 of the SambaNova coding agent series; earlier sessions help, but they aren’t required. 📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free 🔗 Register: zurl.co/WOWAd #CodingAgents #AgenticAI #MCP #AIEngineering #DevOps