Attendees looking for workshops, demos, practical walkthroughs, and implementation takeaways.
12 sessions from the real MITechCon schedule
Apache Iceberg gets powerful when you understand the table lifecycle. The value comes from seeing how snapshots, rollback, compaction, and governance fit into the full table lifecycle. "Apache Iceberg Deep Dive Workshop" turns that scenario into a workshop.
Prompting is only one layer of useful AI. Once an LLM feature reaches real users, the engineering questions move from prompts to behavior, context, risk, and reliability. "LLMs Under the Hood - Applied Engineering Workshop" lets Barry Stahl connect tokens.
Medallion architecture is harder under HIPAA. Bronze, silver, and gold layers are easy to sketch, but regulated healthcare data adds PII handling, lineage, access control, and audit pressure to every step. In "Medallion Architecture in Regulated Healthcare.
Vague requirements turn into brittle architecture fast. How do you transition a sprawling, complex business problem into a clean, resilient software architecture? That is the entry point for "From Chaos to Context: A Hands-On Journey Through EventStorming.
Defenders make better decisions after seeing the attacker's workflow. Most defenders have never seen an attack from the other side of the keyboard. Ken Smith uses "Certified Red Team Fundamentals" to connect the warning signs to a walkthrough of a realistic.
Physical computing gets real when sensors, motion, firmware, and cloud have to work together. When LEGO Meets IoT is a deep dive into building a real-world embedded system using LEGO as the mechanical platform and Arduino as the control layer. The session.
Serving an LLM on Kubernetes has sharp edges. Includes a live demo deploying an open-weight LLM on Kubernetes and serving inference traffic with real-time GPU metrics. That is the entry point for "A Practical Guide to Running LLMs on Kubernetes", where Rohit.
Public agencies need AI that improves services without adding complexity. Governments are starting to use AI agents to improve how services are delivered—from permits and public works to citizen support. Himanshu Goil brings that problem into "Civic Agents.
Conversational BI fails when answers are not trusted. Self-service analytics only works when the data, metrics, and context behind each answer are governed. In "Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights", Mou.
Finance AI breaks when metrics and pipelines are not trusted. Before finance can safely use AI or agentic workflows, the data foundation has to be trusted, governed, and explainable. The answer gets practical in "Building an AI-Ready Finance Lakehouse with.
Digital transformation fails when leaders start with tools instead of problems. Most organizations do not fall behind because the technology is missing; they fall behind when decisions, change, and readiness stay fuzzy. "Digital Transformation or Digital.
Public-sector AI works best when it fits existing workflows. Public agencies have already experimented with basic AI tools, and many are now asking a more meaningful question: how can AI actually support the work that public staff do every day? The answer.
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Speakers connected to the sessions in this guide
Himanshu GoilChief Executive Officer, Ignatiuz Inc.2 sessions in this guide
Mou RakshitAvanade, Intelligent Data Platform Data Engineering Thought leadership2 sessions in this guide
Barry StahlSolution Architect and Developer1 session in this guide
Jim RieckLead Software Engineer, Mentor, Speaker, Technology enthusiast, Father1 session in this guide
Ken SmithDirector of Solutions and Strategic Partnerships1 session in this guide
Lester MartinTrino Developer Advocate - Starburst1 session in this guide
Matt RussellMake a plan, iterate towards your goal, and complete something every day.1 session in this guide
Raziullah KhanData/AI expert1 session in this guide
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