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Conferences / Data in the D Conference

Data in the D Conference 2025

Nov 8, 2025 · WSU Industry Innovation Center at TechTown Detroit, Detroit, MI, United States

Conference
Data in the D Conference Data science & ML
Dates
Nov 8, 2025
Venue
WSU Industry Innovation Center at TechTown Detroit
Place
Detroit, MI, United States
Format
In person
Status
Past
Attendance
—
Organizer says the event sold out; no headcount published.
Website
datainthed.org
Recorded
21 sponsors · 33 speaker appearances
Notes
First edition. One day, four tracks (Analytics & BI, AI & Data Science, Data Culture & Innovation, Data Engineering) plus a town hall; keynote by Joe Reis. Sessions in person only, not recorded; some slides posted. Early-bird discount of $20 until Sep 1 (prices not archived). Lead Sponsors mapped to gold, Supporter to silver. The about page says the 2025 event "is officially SOLD OUT!" but gives no headcount.

Ticket prices

No ticket prices recorded

Sponsors 21

Title / headline 1

Gold 5

Silver 3

Community 9

Other 3

Speakers and talks 33

SpeakerCompanyRoleTalkLinks
Joe Reis—Keynote——
Alex MonahanMotherDuckSpeakerMaking Big Data Feel Small with MotherDuck and DuckLakeSlides
Anupam Banerjee—SpeakerBuilding Real World AI Agents: Lessons from Automotive & Manufacturing DomainSlides
Apurva WadodkarTI AutomotivePanelistPanel Discussion: How Data & AI are Reshaping Michigan’s Industrial Core—
Brendan FullerStella & Chewy’sSpeakerSmall Teams, Big Impact: How lean teams can utilize partners, tech and AI to foster growth and data culture.—
Brian O'ConnellKellanovaPanelistPanel Discussion: How Data & AI are Reshaping Michigan’s Industrial Core—
Chris Bawden3CloudPanelistThe Human Side of Artificial Intelligence Panel: The successes, failures, and unintended consequences of AI—
Craig TuckerVERN AIPanelistPanel Discussion: Detroit Startup Data-Driven Products—
Danielle WittorpOwens CorningPanelistPanel Discussion - People Data in Action: Real Applications from Hiring to Retention & Beyond—
Dave AaronBoston Consulting GroupSpeakerData Apps: Examining real-world use cases—
David BloomPointe AngelsPanelistPanel Discussion: Detroit Startup Data-Driven Products—
David Corliss, PhDDTE EnergySpeakerEthical Challenges and Best Practices in Analytics and AISlides
Eric SchwartzBlueConduitPanelistPanel Discussion: Detroit Startup Data-Driven Products—
Ethan AaronPortableSpeakerSmall Teams, Big Impact: How lean teams can utilize partners, tech and AI to foster growth and data culture.Slides
Harini RajagopalAAA Life Insurance CoPanelistPanel Discussion: The Truth About Data Engineering: Why It’s Hard - and How to Get It Right—
Jason AltenburgOneMagnifyPanelistPanel Discussion - People Data in Action: Real Applications from Hiring to Retention & Beyond—
Jean-Georges PerrinBitol / ActianSpeakerProduct-Oriented Data Engineering and Management: From Assembly Line to AI, Detroit’s Legacy, Reimagined for Data—
Jeff VaggNorth DataPanelistPanel Discussion: How Data & AI are Reshaping Michigan’s Industrial Core—
Melissa GregoryAutomation Bird DogPanelistThe Human Side of Artificial Intelligence Panel: The successes, failures, and unintended consequences of AISlides
Michael MorganFord Motor CompanyPanelistPanel Discussion - People Data in Action: Real Applications from Hiring to Retention & Beyond—
Mike OnslowClarity VoiceSpeakerFrom Vibe to Value: Building Trustworthy AI with Human-in-the-Loop + RAG—
Neeraj KumarAmazon Web ServicesSpeakerReimagine Business Intelligence with Agentic AI—
Ollie HughesCountSpeakerThe 4 Tenets of High Impact Data Teams: How to always be valuable in a world of AI and BISlides
Pete CooneyJackson National LifePanelistPanel Discussion: The Truth About Data Engineering: Why It’s Hard - and How to Get It Right—
Reed BrambleTalkdeskPanelistPanel Discussion - People Data in Action: Real Applications from Hiring to Retention & Beyond—
Sarah ThompsonThompson Data ConsultingPanelistThe Human Side of Artificial Intelligence Panel: The successes, failures, and unintended consequences of AI—
Sawyer NyquistEnrollHere, IncSpeakerData for Decision-Making: Metrics that Matter: A framework for data leaders to think strategically and practically about measurements in their organization.—
Shallu SarvariNagarroPanelistPanel Discussion: The Truth About Data Engineering: Why It’s Hard - and How to Get It Right—
Steven StarkCVS HealthSpeakerUncovering the Hidden Engine of Data Science: Optimization & Operations Research—
Tanyella LetaMaka MediaPanelistPanel Discussion: Detroit Startup Data-Driven Products—
Vaidy JanardhanamAmazon Web ServicesSpeakerReimagine Business Intelligence with Agentic AI—
Virginia ContiSnowflakePanelistPanel Discussion: How Data & AI are Reshaping Michigan’s Industrial Core—
Ziyad MuflahiWayne State UniversityPanelistPanel Discussion - People Data in Action: Real Applications from Hiring to Retention & BeyondSlides

Sources