Data Science Dojo @DataScienceDojo

Meet the speakers of the Agentic AI Conference! 🎙️ We’re bringing together 24 leaders building and deploying AI agents today, from Docker, Google, Google DeepMind, Databricks, AMD, Cohere, Neo4j, LandingAI, deepset, TrendAI, Crusoe, GitGuardian, Zilliz, Arcade, SteelEngine, Vixul, Traversaal, Ejento AI, InnerWorkings AI, Serrano Academy, and StatQuest. Over two days of keynotes, panels, and hands-on tutorials, they’ll take on the questions that decide whether AI agents make it out of pilot: security, compliance, governance, and alignment, and what it really takes to trust agents in production. Swipe through to meet the full lineup. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04Bwv_40 #datasciencedojo #agenticaiconference #futureofdataandai

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Two days. One keynote. Six panels. Four hands-on tutorials. 🗓️ The Agentic AI Conference agenda is here, packed with sessions on security, compliance, governance, and alignment, featuring speakers from Docker, Google DeepMind, Databricks, AMD, Neo4j, and more. Save the date and see the full lineup of sessions on the website. 👉 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register free: hubs.la/Q04Btmdl0 #datasciencedojo #agenticaiconference #futureofdataandai

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Four hands-on tutorials. Live demos, working code, and runnable repos. 💻 The Agentic AI Conference isn’t just talks. Across two days, four teams building with agents will show you exactly how they do it: 🛠️ LandingAI: “Show Me Where It Says That: Agents That Cite Every Word in a Document” with Jaya Vivekanandan. Ground every word an agent reads to its exact spot on the page, and build a pipeline that catches real edits across document versions. 🛠️ AMD: “Build Secure Always-On Local Agents on AMD Ryzen™ AI PC using Lemonade” with Iswarya Alex and Satya Devineni. Build an always-on agent that keeps every model call local and stays inside a sandbox policy you write. 🛠️ Neo4j: “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory” with Benjamin Squire. Add governed metrics and auditable memory to a text-to-SQL agent, then trace a planted prompt injection back to its source. 🛠️ Google DeepMind: “What’s New and What’s Next from Google DeepMind” with Paige Bailey. Live demos and hands-on coding patterns with Gemini 4, NanoBanana 2.1, Gemini TTS, and more. Swipe through for what you’ll take away from each session. 👉 📅 November 9–10, 2026 | 9 AM – 3 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04Btm3X0 #datasciencedojo #agenticaiconference #futureofdataandai

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We’re excited to welcome Benjamin Squire, Senior Developer Advocate at Neo4j, to the Agentic AI Conference! 🎙️ Benjamin will be leading the hands-on tutorial “Making a Data Agent Trustworthy with a Semantic Layer and Auditable Memory.” Data agents rarely fail loudly: they return plausible numbers, query data they shouldn’t, and leave no trail you can audit. In this session, you’ll see one text-to-SQL agent run twice over a realistic 33-table BigQuery warehouse, once with the usual tooling and once with graph-based context from two Neo4j Labs projects. You’ll then trace a planted prompt injection to its source and quarantine it, and leave with a public repo to rerun everything yourself. At Neo4j, Benjamin brings graph technologies to enterprises wherever their data lives. With more than 10 years of experience applying machine learning across marketing segmentation, graph analytics, and budget optimization, Benjamin speaks and teaches on how context, ontologies, and graph-based approaches such as GraphRAG make agentic AI applications more reliable. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04BtlRx0 #datasciencedojo #agenticaiconference #futureofdataandai

An agent is only as good as the tools it can act through. Here’s the anatomy of a coding agent that actually ships 👇 ① The agent: most of its capability comes from what it can touch, not the model ② The workspace: files, code execution, tests and Git, designed so the agent uses them reliably ③ The sandbox: broad tool access plus strong isolation, so it acts freely without putting your systems at risk ④ MCP: developer tools exposed over the Model Context Protocol Put all four together and the agent goes from clever assistant to contributor, opening a PR-style diff that passes CI. Swipe for the full breakdown, a planner-vs-contributor comparison and a cheat sheet worth saving 🔖 On October 21, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, builds the whole thing live. 📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free 🔗 Register for the webinar: hubs.la/Q04Bnl4s0 #CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

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Two days. One keynote. Five panels. Four hands-on tutorials. 🗓️ The Agentic AI Conference agenda is here, packed with sessions on security, compliance, governance, and alignment, featuring speakers from Docker, Google DeepMind, Databricks, AMD, Neo4j, and more. Save the date and check the full lineup of sessions on the website. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register free: hubs.la/Q04BnmfM0 #datasciencedojo #agenticaiconference #futureofdataandai

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We’re excited to have Raja Iqbal, Founder of Ejento AI, Sam Partee, Co-founder and CTO of Arcade, and Adnan Ijaz, Senior Director of Product Management for Agentic Data Cloud at Google, joining the panel “Teammates, Not Tools” at the Agentic AI Conference! 🎙️ AI agents can now act on their own, moving money, rewriting customer records, and touching production systems. That makes them less like software and more like new team members, and team members need a role, an identity, a manager, and limits on what they can decide alone. Most organizations haven’t given their agents any of that yet. Built on the Harvard Business Review article “To Scale AI Agents Successfully, Think of Them Like Team Members,” this panel will look at what onboarding an agent really involves, from scoped credentials to sign-off thresholds and audit trails. Our panelists will also take on the question every leader faces: how much should an agent be trusted with from the start, and how does it earn more? 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04Bng1Z0 #datasciencedojo #agenticaiconference #futureofdataandai

5 myths about coding agents, and what it actually takes for one to ship real code 👇 ❌ “A better model is all you need.” ✅ Most of an agent’s capability comes from what it can touch. ❌ “Planning is the hard part.” ✅ A coding agent that can only plan can’t ship. ❌ “Real access is too risky.” ✅ Pair broad tool access with strong isolation. ❌ “Every tool needs a custom integration.” ✅ Expose developer tools over MCP. ❌ “You can’t trust what an agent produces.” ✅ A well-equipped agent checks its own work. On October 21, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, busts all five live. He gives a coding agent a real workspace, sandboxes it, extends it over MCP, and finishes with a PR-style diff that passes CI. Swipe through all five 👉 📅 Wed, Oct 21 · 11:00 AM PT · Virtual · Free 🔗 Register: hubs.la/Q04BfNZn0 #CodingAgents #AgenticAI #MCP #AIEngineering #DevOps

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We’re excited to have Hamza Farooq, Malte Pietsch, and Jon Clay joining the panel “How Sovereign Is Sovereign AI?” at the Agentic AI Conference! 🎙️ A European bank runs a sovereign cloud region, hosts its model weights domestically, and keeps every byte of customer data inside the bloc. Yet the chips came from one vendor, the architecture from a foreign lab’s published research, and the inference software from a company subject to its own government’s powers. Something real has been achieved, and something important has not. This panel will work through the layers: which data genuinely has to stay where, what hosting weights at home does and doesn’t buy, and where dependency actually bites when relations deteriorate. Expect a real debate on whether most of what’s sold as sovereign AI is meaningful control, or a reassuring wrapper around the same handful of foreign dependencies. 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04BfHkP0 #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to welcome Adnan Ijaz, Senior Director of Product Management for Agentic Data Cloud at Google, to the Agentic AI Conference! 🎙️ Adnan will be joining the panel “Teammates, Not Tools.” When a coding agent deleted a production database in 2025, the data loss was recoverable. What wasn’t was the answer to who had authorized it. This panel will treat AI agents as teammates who need onboarding, not software that needs installing, and get concrete on per-agent identity, approval thresholds, and evidence trails that survive a regulator’s question. At Google Cloud, Adnan builds the AI platform and experiences that let agents work with live enterprise data. Before joining Google, he spent nearly ten years at AWS, where as Director of Product and Design for Agentic AI he led the organization building autonomous developer experiences, including Amazon Q Developer and Kiro, AWS’s agentic IDE and CLI. Earlier, he spent more than eight years at Microsoft, where he was the first product manager on Nano Server and led the core platform of Azure HDInsight. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04BfHxb0 #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to welcome Jon Clay, Vice President of Threat Intelligence at TrendAI, to the Agentic AI Conference! 🎙️ Jon will be joining the panel “How Sovereign Is Sovereign AI?” Across Europe, the Middle East, and India, “sovereign AI” is now a live procurement requirement, not a thought experiment. But data, models, and compute are three very different layers: whose law, whose weights, whose chips. This panel will pull those layers apart to show what genuinely stays under your control, and where the dependencies remain. Jon has worked in cybersecurity for over 30 years. As Vice President, Threat Intelligence at TrendAI (formerly Trend Micro), he shares insights from TrendAI’s threat research through webinars, blogs, and hundreds of speaking sessions globally, focusing on the threat landscape, cybercriminal undergrounds, the attack lifecycle, and advanced detection technologies. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04BfGyM0 #datasciencedojo #agenticaiconference #futureofdataandai

Is MCP your standard for agent tools? 🔌 Before an agent can use MCP well, it needs a place to work. In Part 3 of our coding agent series, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, builds it step by step: 1️⃣ The core workspace: file access, code execution, test runs and Git, all inside a sandbox 2️⃣ Then the agent’s reach is extended through one protocol, with developer tools exposed over MCP 3️⃣ The proof: the agent opens a PR-style diff that passes CI Why it matters if you lead a team: an agent is only as good as the tools it can act through. Those tools have to be designed so the agent uses them reliably, and MCP is the layer that ties them together. Swipe to see how it fits together 👉 📅 Wednesday, October 21 · 11:00 AM PT · Virtual · Free 🔗 Register: hubs.la/Q04B63Ls0 #MCP #ModelContextProtocol #AgenticAI #CodingAgents #AIEngineering

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Isolating an AI agent is straightforward, until it needs to be useful. 🔐 That’s the tension at the heart of “Every Sandbox Ends Up with Exceptions,” and we’re excited to have Suman Debnath (Director of Developer Relations Engineering, Crusoe), Dwayne McDaniel (Principal Developer Advocate, GitGuardian), and Ori Bendet (VP of Product, Docker) joining the conversation at the Agentic AI Conference. An agent that can file a ticket is useful. One that can also close it, refund the customer, and push a config change is far more useful, and far riskier. Practitioners know the first sandbox design rarely lasts long before someone needs an exception for a legitimate workflow. Our panelists will unpack what holds up in production, where the boundaries leak, and whether a well-designed sandbox can genuinely contain an agent. Swipe through to see the debate and meet the speakers. 👉 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04B632B0 #datasciencedojo #agenticaiconference #futureofdataandai

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Meet the speakers of the Agentic AI Conference! 🎙️ We’re bringing together 20 leaders from Docker, Google, Google DeepMind, Databricks, AMD, LandingAI, deepset, Arcade, Zilliz, Neo4j, GitGuardian, Crusoe, SteelEngine, TrendAI, Vixul, Traversaal, and Ejento AI, with more still to be announced. Over two days, they’ll tackle the questions that decide whether AI agents make it out of pilot: security, compliance, governance, and alignment, and what it really takes to trust agents in production. Expect candid debates, practical lessons from real deployments, and hands-on sessions where you’ll leave with working code. Swipe through to meet the full lineup. 👉 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04B62Dq0 #datasciencedojo #agenticaiconference #futureofdataandai

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Compliant AI deployment happens through people embedded in the organization, not principles sent to it. 🔐 That’s the idea behind “Secure AI Needs Forward Deployed Engineers,” one of the panels at this year’s Agentic AI Conference, and we’re excited to have Aater Suleman (Co-founder, Vixul), Hannah Marlowe (Senior Director, AI Forward Deployed Engineering, Databricks), and Dan Maloney (CEO, LandingAI) joining the conversation. Vendor guidance and compliance frameworks arrive as documents, but the deployment happens inside an enterprise with its own systems, risks, and approval processes. Our panelists will unpack how forward deployed engineers bridge that gap, where AI programs tend to stall, and whether embedded engineering can grow beyond a customer-by-customer effort. They’ll also take on the question underneath it all: is the FDE here to stay, or a stopgap until the tooling catches up? Swipe through to see the debate and meet the speakers. 👉 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04B621H0 #datasciencedojo #agenticaiconference #futureofdataandai

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A coding agent that can only plan can’t ship. 🛠️ Real software work happens in a repository: reading files, running code, executing tests and committing changes. Until an agent can do all of that safely, it’s a clever assistant, not a contributor. In Part 3 of our coding agent series, Kwasi Ankomah, Lead AI Architect at SambaNova Systems, gives the series’ coding agent a real workspace, live: ✅ Files, code execution, tests and Git, designed so the agent uses them reliably ✅ A sandboxed workspace, so it can act freely without putting your systems at risk ✅ Developer tools exposed over MCP ✅ The finish line: a PR-style diff that passes CI Built for AI/ML engineers, platform and DevOps engineers, and technical leads exploring MCP. Earlier sessions help, but they aren’t required. 📅 Wednesday, October 21 · 11:00 AM PT · Virtual · Free 🔗 Register: hubs.la/Q04z_X8D0 Swipe through for the full breakdown 👉 #CodingAgents #AgenticAI #MCP #AIEngineering #DevOps #DataScienceDojo

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An always-on AI agent is only worth having if you can trust it with real work. 🔐 Join Iswarya Alex, Sr. Staff Software Dev. Engineer at AMD, and Satya Devineni, Product Application Engineer at AMD, for the hands-on tutorial “Build Secure Always-On Local Agents on AMD Ryzen™ AI PC using Lemonade” at the Agentic AI Conference. What you’ll build: ✅ An agent that runs day and night on your inbox and calendar ✅ Fully local inference with Lemonade Server across the NPU and GPU ✅ A sandbox policy you write and control ✅ A fun productivity use case, end to end Everything is provided: an AMD Ryzen™ AI PC, a synthetic dataset, and a simulated environment. Swipe through for the details. 👉 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04z-6RH0 #datasciencedojo #agenticaiconference #futureofdataandai

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When agents misbehave, how can we finally use AI at scale without breaking things? 🤖 We’re excited to have Mat Velloso, Chief Product Officer at Docker, opening the Agentic AI Conference with this keynote. His talk sets the theme for two days of panels and tutorials on security, compliance, governance, and alignment, and on what it really takes to trust AI agents in production. Mat has previously worked as VP at Meta and Google DeepMind, where he focused on AI and developer platforms, and served as an Advisor to Microsoft’s CEO, contributing to product strategy and AI innovation. Swipe through to learn more. 👉 📅 November 9–10, 2026 | 9 AM – 2 PM PT | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04z-7Fr0 #datasciencedojo #agenticaiconference #futureofdataandai

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We’re excited to welcome Satya Devineni, Product Application Engineer at AMD, to the Agentic AI Conference! 🎙️ Satya will be joining Iswarya Alex to lead the hands-on tutorial “Build Secure Always-On Local Agents on AMD Ryzen™ AI PC using Lemonade.” What if your AI agent never had to send a single model call to the cloud? In this hands-on workshop, you’ll build an always-on productivity agent that runs entirely on a Ryzen™ AI PC, with Lemonade Server handling inference locally across the NPU and GPU. You’ll also write the sandbox policy that decides what the agent can read, run, and reach. Everything you need is provided: an AMD Ryzen™ AI PC, a synthetic dataset, and a simulated environment. Satya is a Product Application Engineer at AMD within the Artificial Intelligence Group, where he primarily works with open-source software in the Agentic AI frameworks space. He has experience with inference providers and runtimes such as vLLM and http://llama.cpp, along with client and embedded performance benchmarking focused on optimizing AI workloads. Satya holds a Master’s degree in Data Science from the University of California Irvine. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04z-6t10 #datasciencedojo #agenticaiconference #futureofdataandai

We’re excited to welcome Hamza Farooq, Founder of Traversaal AI, to the Agentic AI Conference!🎙️ Hamza will be joining the panel “How Sovereign Is Sovereign AI?” A European bank can run a sovereign cloud region, host its model weights domestically, and keep every byte of customer data inside the bloc. Something real has been achieved, and something important may not have been. This panel will explore which data genuinely has to stay where, what hosting weights at home does and doesn’t buy, and where dependency actually bites when relations deteriorate. Hamza is the founder of Traversaal AI, where he leads forward-deployed engineering for Fortune 100 companies. Previously at Google and Walmart, he has spent close to 20 years building large-scale systems, and he teaches thousands of students across YouTube, Maven, and universities including UCLA, Stanford, and Santa Clara University. 📅 November 9–10, 2026 | Virtual | Free to attend 🔗 Register now to save your spot: hubs.la/Q04zTKjQ0 #datasciencedojo #agenticaiconference #futureofdataandai