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Conferences / Data Summit (DBTA)

Data Summit 2025

May 13–15, 2025 · Hyatt Regency Boston, Boston, MA, United States

Conference
Data Summit (DBTA) Vendor & industry
Dates
May 13, 2025 – May 15, 2025
Venue
Hyatt Regency Boston
Place
Boston, MA, United States
Format
In person
Status
Past
Attendance
—
Website
dbta.com
Recorded
21 sponsors · 56 speaker appearances
Notes
Workshops May 13, conference May 14-15. Speakers, affiliations and titles parsed from the conference programme page (keynotes, track sessions and workshops; for multi-talk sessions the individual talk title is used). Sponsors from the sponsor page with tiers.

Ticket prices

TicketPriceValid untilNotesSource
Full Two Day Conference Pass (early)$995Apr 18, 2025dbta.com
All Access Pass (early)$1,295Apr 18, 2025Early bird extended through April 18dbta.com
Full Two Day Conference Pass (regular)$1,095—dbta.com
All Access Pass (regular)$1,395—dbta.com

Sponsors 21

Title / headline 3

Platinum 7

Gold 2

Media 9

Speakers and talks 56

SpeakerCompanyRoleTalkLinks
Andreas WelschIntelligence BriefingKeynoteGet Your Business AI-Ready—
Ebrahim AlareqiIncortaKeynoteSponsored Keynote - Transforming Analytics With AI: A Comprehensive Guide to an Advanced Tech Stack—
John LewisStory Thinking: Transforming Organizations for the Fourth Industrial RevolutionKeynoteWelcome & Keynote - Storytelling With Data—
Sami AkbayinsightsoftwareKeynoteGenAI Killed BI. Claude Says It’s Fake News!—
Shiva PullepuCrateDBKeynoteUnlocking Your AI Potential With Real-Time Data Unification—
Alfredo RamosClarifaiSpeakerCompute Orchestration for Hybrid Cloud Inference—
Atanas KiryakovGraphwiseSpeakerKnowledge Graphs: The GPS for AI & LLMs—
Bharath VasudevanQuestSpeakerBuilding a Data Strategy for AI-Driven Success—
Brian PichmanEvolve ProjectSpeakerGeneral Session- Conversations With AI: Transforming Conference Learning & Data Engagement—
Chantel Wilson ChaseAstraZeneca Rare Disease Business UnitSpeakerData Delusion: Are Your Metrics Lying to You?—
David CroleneEXLSpeakerBuilding the Business Case for Funding GenAI Projects—
David SeussNorthern LightSpeakerGenAI Is Not Always the Analytical Solution You Need—
Dheeraj RemellaVolt Active DataSpeakerWhen Milliseconds Matter: Control Your Future, Superpowers Included—
Disha Lamba—SpeakerDiscovering the Unexpected: How Recommender Systems Surprise Us—
Emma McGrattanActianSpeakerFrom Obstacles to Opportunities: Mastering Data Governance for AI Success—
Hardik RuparelEasyReferralsSpeakerImpact of GenAI on Cloud Data Security—
Hariharan Pappil KothandapaniFederal Home Loan Bank of ChicagoSpeakerTransforming Government Operations by Harnessing AI, RPA, and ML—
Jack SmithSyncariSpeakerReinventing MDM to Power AI and Agents—
Jerry LockePerficientSpeakerThe Importance of Serverless Data Engineering—
John O'BrienRadiant AdvisorsSpeakerInsights From the 2025 Modern Data Architecture in the AI Era Market Study—
John O'BrienRadiant AdvisorsWorkshopW1. Architect Your Enterprise Data Future: Building Strategic Modern Data Platforms—
Joseph HilgerEnterprise KnowledgeWorkshopW2. Building the Semantic Layer of Your Data Platform—
Kevin BohanDenodoWorkshopW5. GenAI Starts with Data: Create a Chatbot Built on a Strong Data Core—
Kevin BohanDenodoSpeakerFrom Data Chaos to AI Clarity: Strategies to Supercharge Your AI Initiatives—
Kishan Kumar IsayamudhanChimeSpeakerPutting GenAI to Work—
Kshitij KK KumarHaleon (GSK Consumer Health)SpeakerResponsible Agentic and Generative AI: A Practitioner’s Guide—
Lulit TesfayeEnterprise KnowledgeSpeakerImplementing Semantic Layer Architectures—
Marianne KrohaCoeur DataSpeakerBecoming the Irreplaceable Data Partner—
Mark CusackYellowbrickSpeakerHybrid Cloud Data Warehousing on Kubernetes—
Mark Van de WielFivetranSpeakerScaling Data Without Breaking Trust—
Megh GautamCrunchbaseSpeakerLeveraging AI to Transform Data Into Decision-Making Power—
Michael AgarwalDatavailSpeakerAre You Picking the Right Database?—
Nick NowlanRiverySpeakerUsing GenAI for Efficient Data Engineering—
Nilanjan ChatterjeeAMDSpeakerData Observability and Reliability Engineering in a Real-Time World—
Paige Roberts—SpeakerGet Consistency & Real-Time Latency With a DIH—
Parul Gupta—Speaker50 Shades of Fairness: Overcoming the Dark Side of AI—
Pete CooneyJackson National LifeSpeakerFive Secrets to Enterprise Data Success—
Phil VaccaDatavailSpeakerEmpowering Engineers With a Database DevOps Strategy—
Priyanka AsnaniFidelity InvestmentsSpeakerCustomer Churn Prediction Pipeline With MLFlow & Streamlit—
Rajesh VayyalaIndependent Research/Global Debt Recovery CompanySpeakerFuture-Proofing Data Warehousing—
Romeel ShethDenodoWorkshopW5. GenAI Starts with Data: Create a Chatbot Built on a Strong Data Core—
Sara NashEnterprise KnowledgeWorkshopW2. Building the Semantic Layer of Your Data Platform—
Sean KnappAscend.ioSpeakerAgentic Data Engineering—
Shiva PullepuCrateDBSpeakerFrom California Wildfire Monitoring to Smart Chatbots: Real-Time Analytics, Search, and AI Insights—
Sid ProbsteinSWIRLSpeakerFinding Order in Chaos: Transforming Search With LLMs—
Steve KaramPerforce DelphixSpeakerData Meets DevOps: MLOps for RAG and AI Apps—
Sumit PalIndependent ConsultantSpeakerKnowledge Graphs: The GPS for AI & LLMs—
Suzannah HicksHummingbird HealthcareSpeaker[Cancelled] Organizational Data Culture & Decision Making—
Timothy SpannSnowflakeSpeakerFrom Air Quality to Aircraft & Automobiles, Unstructured Data Is Everywhere—
Tony HuinkerDomino Data LabSpeakerAI Governance by Design: Building Your AI Governance Maturity—
Urmi MajumderEnterprise KnowledgeSpeakerImplementing Semantic Layer Architectures—
Vandana SainiAmazon Web ServicesSpeakerArchitecting for Personalization—
Vinesh GudlaInstacartSpeakerImproving Product Discoverability & Relevance—
Wayne EckersonEckerson GroupWorkshopW3. Data Democratization: How to Build a Self-Service Strategy That Empowers Business Users and Eliminates Data Bottlenecks—
Yashasvi SinghNavy Federal Credit UnionSpeakerFrom Chaos to Clarity: Streamlining Data for Better Decision Making—
Zoe SteinkampClickHouseSpeakerOpen Source Alternatives to the Cloud Data Warehouse—

Sources