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Conferences / AI Con USA

AI Con USA 2025

Jun 8–13, 2025 · Hyatt Regency Seattle, Seattle, WA, United States

Conference
AI Con USA Data science & ML
Dates
Jun 8, 2025 – Jun 13, 2025
Venue
Hyatt Regency Seattle
Place
Seattle, WA, United States
Format
Hybrid
Status
Past
Attendance
—
Website
aiconusa.techwell.com
Recorded
0 sponsors · 50 speaker appearances
Notes
Seattle debut; in person at the Hyatt Regency Seattle and streamed online. Speakers: schedule list as of the March 19, 2025 snapshot, plus keynote K7 (Marshall Belcher, Google) added later per the May 14, 2025 keynotes page; tutorial affiliations filled from the same speaker's other sessions at this edition where available. Training classes and Leadership Summit sessions not recorded. No archived 2025 sponsor page was found; prices were published only as pricing-grid images. Keynote codes follow the May 14, 2025 keynotes page. Justin Castilla's affiliation (Elastic) is from the homepage featured-speaker card.

Ticket prices

No ticket prices recorded

Sponsors 0

No sponsors recorded

Speakers and talks 50

SpeakerCompanyRoleTalkLinks
Andreas BohmanUniversity of WashingtonKeynoteAI at Scale: Balancing Innovation, Governance, and Risk in Large Organizations—
Dona SarkarMicrosoftKeynoteAI for Real People—Panel—
Erica GreeneYahooKeynoteBest Practices for Using AI for Structured Data Extraction—
Marshall BelcherGoogleKeynoteThe Future of AI Agents—
Mary ThornS&P Global Market IntelligenceKeynoteFive Ways to Operationalize AI at Scale—
Sida PengMicrosoftKeynoteThe Impact of AI on Developer Productivity—
Tim Collinson11:59KeynoteAWS Public Health Modernization: Leveraging GenAI for Government Innovation—
Venkata KampanaAmazon Web ServicesKeynoteAWS Public Health Modernization: Leveraging GenAI for Government Innovation—
Alireza BoloorchiCatch Up AISpeakerThe AI-Powered Leader: Creating Alignment and Redefining Leadership in an Autonomous Era—
Apurva MisraSentickSpeakerPowering Complex Solutions with Agentic Systems—
Balvinder Singh BanjardarWalmartSpeakerAmazing Ways Retailers Are Using Generative AI—
Bob RappGeneral MotorsSpeakerMoving from Reproducible Data Science to the World of LLM, GPT, RAG, and Hallucination—
Cy KhormaeeAttentiveSpeakerContinuous Testing for AI Applications—
Dionny Santiago—TutorialGetting Started with AI and Machine Learning—
Dona SarkarMicrosoftTutorialThis Is Our Agent, We Make the Call—
Dona SarkarMicrosoftTutorialBecome an AI Power User—
Emma PyneEPAMSpeakerBrewing Better Technology: How Human Insights Enhance AI Capabilities—
Francesca LazzeriMicrosoftSpeakerRAG at Scale: Building Production-Ready GenAI Solutions—
Gal ElbazOligo SecuritySpeakerShadow Vulnerabilities in AI/ML Data Stacks - What You Don’t Know CAN Hurt You—
Hien LuuZooxSpeakerMastering Prompt Engineering: Unlocking the Power of Prompt Patterns and Meta-Prompting Technique—
Jason ArbonCheckie.AISpeakerBuilding Reliable AI Agent Flows—
Jeffery Payne—TutorialAI-Assisted Development: Supercharge Your Coding with GitHub Copilot and More—
Jeffery Payne—TutorialImage Classification using LLMs and Transfer Learning—
Jeremiah Marble—TutorialBecome an AI Power User—
Jeremiah Marble—TutorialThis Is Our Agent, We Make the Call—
Joanna KennedyFullsightSpeakerNavigating Compliance with the EU AI Act: Strategies for Responsible AI Development and Governance—
Jonathon WrightKeysightSpeakerUnlocking Agentic AI Superpowers in the Quantum Multiverse—
Joshua Powers—TutorialAI Code Generation Lifecycle—
Joshua Powers—TutorialGet Your Data Ready for AI/ML—
Justin CastillaElasticTutorialClean Your Filthy RAGS! Optimizing, Accelerating, and Evaluating RAG Applications—
Justin CastillaElasticTutorialIntroduction to RAG Applications: Building Conversational AI for Domain-specific Search—
Matt Eland—TutorialBeginning Data Analysis and Machine Learning with Jupyter Notebooks—
Matt Eland—TutorialCommon Software, Data, and AI Architectures and the Ways They Fail—
Matt PayneWidth.aiSpeakerRAG Has Evolved - Enhance Your RAG Pipeline with These Concepts—
Megs ShahParasol CooperativeSpeakerEmpathy in Code: Balancing Emotional Intelligence with Ethical Boundaries in AI—
Monalisha SinghNetAppSpeakerDecoding the Black Box: Unlocking LLM Observability—
Nishadhi NikalandawatteSlalomSpeakerMastering Quality Engineering in the Age of AI—
Peter WangAnacondaSpeakerSecuring the Foundations of AI: Addressing the Past to Safeguard the Future—
Praveen BagareEPAMSpeakerTesting Powered by AI/ML Synthetic Test Data: A Game Changer—
Priyanka AsnaniFidelity InvestmentsSpeakerCustomer Churn Prediction Using MLFlow and Streamlit—
Roy DerksIBMSpeakerTool Calling is Not Just Plumbing for AI Agents—
Sarvani Sathish KumarMicrosoftSpeakerUsing GenAI to Advance Azure AIOps—
Scott Peterson—TutorialAI Deep Dive: Exploring AWS Using Real-World Scenarios—
Sucheth KoppaF Hoffmann-La Roche LtdSpeakerAdvancing Biotechnology: AI's Role in Modern Applications—
Tariq KingTest IOSpeakerTest Machina: Demystifying AI-Driven Testing Agents—
Tariq KingTest IOTutorialA Quality Engineering Introduction to AI and Machine Learning—
Tariq KingTest IOTutorialPrompt Engineering for Software Practitioners—
Tariq KingTest IOTutorialLeveraging Generative AI for Software Productivity—
Tim Collinson11:59TutorialSupercharging Software Development with AI: A Deep Dive into Amazon CodeWhisperer & Amazon Q—
Vijay PanwarPanasonicSpeakerNavigating AI Governance: Building Trust in a Regulated Future—

Sources