BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ChamberMaster//Event Calendar 2.0//EN METHOD:PUBLISH X-PUBLISHED-TTL:P1H REFRESH-INTERVAL:P1H CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070101T000000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:Eastern Daylight Time END:DAYLIGHT BEGIN:STANDARD RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20070101T000000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:Eastern Standard Time END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20260513T173000 DTEND;TZID=America/New_York:20260513T193000 X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:TAG's Data Science & AI Society Presents: "Ship It Smarter: Building AI Products That Actually Work" DESCRIPTION:AI innovation is advancing faster than ever but in many organizations\, promising models still stall out as prototypes that never deliver real business value. The gap isn't usually the technology. It's the disconnect between AI teams\, product managers\, and engineering leaders optimizing for different things.This panel brings together practitioners for an honest conversation about what it takes to close that gap. Through real examples and hard-won lessons\, our panelists will dig into how AI and product can work as true partners not sequential handoffs. When is a model good enough to ship? How do you build a roadmap when outputs are probabilistic? How do you keep user needs at the center when the technology moves this fast?Attendees will leave with concrete strategies for embedding AI into product roadmaps\, balancing experimentation with delivery\, and structuring collaboration across AI\, product\, and engineering teams.The session includes a moderated panel followed by open audience discussion because the best tactics for making AI work are often sitting in the room.Who should attend: AI and ML leaders\, data scientists\, product managers\, engineering leaders\, and executives responsible for turning AI investment into measurable outcomes.\n*Registration is now closed as the event has reached full capacity*\nMeet our SpeakersGautam Krishna Moorthi\nDirector\, Artificial Intelligence\, PRGX Global\nModeratorBeverly Wright\nVP Data & AI Strategy\, Intuitive.ai\nEmceeSrinivasa Bhaskara\nCTO - AI-Native Digital Engineering\, NagarroDana Haddad\nDirector\, AI Products\, Cox CommunicationsNivedita Pandey\nSr. Manager\, Product & Innovation\, Delta Air Lines\nThank you to our Event Host\n\nThank you to our Event Sponsors\nThank you to our Annual TAG Data Science & AI Society Sponsors\nOnline registration will close by 9:00 AM on May 12th. On-site registration is NOT available after this time.\nPlease note that if you belong to a member organization but have not yet connected to your company's membership\, you will need to complete the membership activation form before the member rate is available to you.Privacy Notice By registering for this event\, you agree to TAG's information-sharing practices for networking purposes. View our full Event Privacy Statement here. X-ALT-DESC;FMTTYPE=text/html:

AI innovation is advancing faster than ever &mdash\; but in many organizations\, promising models still stall out as prototypes that never deliver real business value. The gap isn'\;t usually the technology. It'\;s the disconnect between AI teams\, product managers\, and engineering leaders optimizing for different things.

This panel brings together practitioners for an honest conversation about what it takes to close that gap. Through real examples and hard-won lessons\, our panelists will dig into how AI and product can work as true partners &mdash\; not sequential handoffs. When is a model good enough to ship? How do you build a roadmap when outputs are probabilistic? How do you keep user needs at the center when the technology moves this fast?

Attendees will leave with concrete strategies for embedding AI into product roadmaps\, balancing experimentation with delivery\, and structuring collaboration across AI\, product\, and engineering teams.

The session includes a moderated panel followed by open audience discussion &mdash\; because the best tactics for making AI work are often sitting in the room.

Who should attend: \;AI and ML leaders\, data scientists\, product managers\, engineering leaders\, and executives responsible for turning AI investment into measurable outcomes.

*Registration is now closed as the event has reached full capacity*

Meet our Speakers

	Gautam Krishna Moorthi Director\, Artificial Intelligence\, PRGX Global Moderator
	Beverly Wright VP Data &\; AI Strategy\, Intuitive.ai Emcee
	Srinivasa Bhaskara CTO - AI-Native Digital Engineering\, Nagarro
	Dana Haddad Director\, AI Products\, Cox Communications
	Nivedita Pandey Sr. Manager\, Product &\; Innovation\, Delta Air Lines

Thank you to our Event Host

Thank you to our Event Sponsors

Thank you to our Annual TAG Data Science &\; AI Society Sponsors

Online registration will close by 9:00 AM on May 12th. On-site registration is NOT available after this time.

Please note that if you belong to a member organization but have not yet connected to your company&rsquo\;s membership\, you will need to complete the \;membership activation form \;before the member rate is available to you.

Privacy Notice \;

By registering for this event\, you agree to TAG'\;s information-sharing practices for networking purposes. View our full Event Privacy Statement \;here.

LOCATION:100 North Point Center East Suite 125 Alpharetta GA 30022 UID:e.1848.1440814 SEQUENCE:3 DTSTAMP:20260530T084033Z URL:https://members.tagonline.org/calendar/Details/tag-s-data-science-ai-society-presents-ship-it-smarter-building-ai-products-that-actually-work-1706016?sourceTypeId=Hub END:VEVENT END:VCALENDAR