The 2026 program is live — browse sessions, workshops, and speakers.The 2026 program is liveBrowse sessions

For AI practitioners

AI at MITechCon 2026

Practitioners and leaders exploring practical AI systems, adoption, governance, security, and analytics.

12 AI sessions on this year’s program12 speakers in these recommendations4 full-day workshops

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Sessions we recommend

12 total

Thu · 1:15 PMConference Session · Intermediate · Room F

Designing Conversational BI: How Azure Databricks AI/BI Genie Unlocks Self-Service Insights

Artificial Intelligence and Machine Learning

Thu · 10:00 AMConference Session · Intermediate · Room C

Your AI Agent Just Ran DELETE Without WHERE. Now What?

Jonathan Stewart

Artificial Intelligence and Machine Learning

Fri · 3:45 PMConference Session · Beginner · Room E

Case Study: Designing AI-Augmented Enterprise Investigation Systems

Santosh Vasudevan John Selvaraj Arulappan

Artificial Intelligence and Machine Learning

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More recommended sessions

Fri · 10:00 AMConference Session · Intermediate · Room A

Building an AI-Ready Finance Lakehouse with dbt, Governed Metrics, and Databricks

Artificial Intelligence and Machine Learning

Thu · 1:15 PMConference Session · Intermediate · Room B

AI and Digital Transformation in Sepsis Management for Smarter Healthcare Delivery

Swapna Chimanchodkar

Artificial Intelligence and Machine Learning

Thu · 10:00 AMConference Session · Intermediate · Room D

AI Influence on Reliable Machine Vision

Artificial Intelligence and Machine Learning

Fri · 2:30 PMConference Session · Intermediate · Room A

Applying Machine Learning and Network Analytics for Modern Financial Crime Detection

Artificial Intelligence and Machine Learning

Thu · 10:00 AMConference Session · Intermediate · Room A

RAG for Data Engineers: What It Is, Where It Fits, and Why Your Metadata Is the Missing Piece

Artificial Intelligence and Machine Learning

Thu · 2:30 PMConference Session · Intermediate · Room F

Multi-Agent Without the Bloat: Designing Lean AI Systems on Azure

Artificial Intelligence and Machine Learning

Fri · 2:30 PMConference Session · Intermediate · Room F

Agentic Loops in the Data Stack: From Pipeline Failure to Auto-Remediation

Artificial Intelligence and Machine Learning

Fri · 10:00 AMConference Session · Intermediate · Room B

Semantic Layers: The Missing Foundation for Agentic AI in Enterprise

Sajitha Sritharan

Artificial Intelligence and Machine Learning

Fri · 11:15 AMConference Session · Intermediate · Room C

Your AI Reads Entire Files. It Only Needs 6%. Here's How We Fixed It.

Rajkumar Sakthivel

Artificial Intelligence and Machine Learning

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A workshop worth a full day

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Oct 28, 2026, 9:00 AM · Room B

LLMs Under the Hood - Applied Engineering WorkshopBarry Stahl

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.

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Speakers in this guide

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Mou RakshitAvanade, Intelligent Data Platform Data Engineering Thought leadership

Varun JoshiSenior Data Engineer at AWS

Barry StahlSolution Architect and Developer

Carey PayetteFinancial Finesse

John Selvaraj ArulappanLead AI Engineer @ADP

Jonathan StewartJonathan Stewart aka SQLLocks, Principal Analytics Consultant for SoundBI

Michael KoperDigital Vision Manager - Americas

Rajkumar Sakthivel✨ AI Systems & LLM Expert | Private Cloud | Global Speaker | Tesco | Oxford

Sajitha SritharanSenior Cloud Data Architect | Microsoft Certified | Women in Data Advocate

Santosh VasudevanLead Data Scientist at Caterpillar

Shivam TiwariPrincipal Data Science, The University of Texas

Swapna ChimanchodkarIEEE Senior Member