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:20260625T173000 DTEND;TZID=America/New_York:20260625T193000 X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:The Governed Accelerator: Scaling Enterprise AI presented by TAG Data Science & AI Society DESCRIPTION:Organizations are moving quickly from AI experimentation to deploying agentic workflows and automation in production. This creates a dual challenge: accelerating AI-driven delivery while maintaining security\, compliance\, and deterministic control. Hosted at Equifax\, this TAG Data Science & AI session will focus on practical engineering frameworks and leadership strategies for scaling production-ready enterprise AI. The panel will emphasize how governance can be integrated directly into the software development lifecycle\, from AI-assisted architecture design to multi-agent orchestration at enterprise scale.Discussion topics include:● Enterprise governance models: isolating probabilistic models from trusted execution layers ● Human-in-the-loop oversight: evolving engineers' roles from code authors to systemic governors ● Security\, privacy\, and compliance in regulated\, high-scale financial environments ● Production monitoring: detecting hallucinations\, model drift\, and anomalous behavior early ● Balancing speed and risk in enterprise deployment cycles Designed for executives\, tech leaders\, risk teams\, and AI practitioners\, this session delivers practical approaches for building trustworthy\, enterprise-grade AI systems.\nMeet our SpeakersRamya Chaitanya Chintamaneni\nPrincipal Architect / Software Engineer Specialist\, Equifax\nModeratorDavid Harron\nChief Business Officer\, Intuitive.ai \nDevesh Tripathi\nSenior Engineering Manager (VP) - Agentic AI for Global Platforms\, Equifax\nSharad Varshney\nCEO\, OvalEdge\nThank you to our Event Sponsors\nThank you to our Event Host\nThank you to our Annual TAG Data Science & AI Society Sponsors\n\nOnline registration will close by 12:00 PM on June 23rd. On-site registration is NOT permitted 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:

Organizations are moving quickly from AI experimentation to deploying agentic workflows and automation in production. This creates a dual challenge: accelerating AI-driven delivery while maintaining security\, compliance\, and deterministic control. \;

Hosted at Equifax\, this TAG Data Science &\; AI session will focus on practical engineering frameworks and leadership strategies for scaling production-ready enterprise AI. The panel will emphasize how governance can be integrated directly into the software development lifecycle\, from AI-assisted architecture design to multi-agent orchestration at enterprise scale.

Discussion topics include:

● Enterprise governance models: isolating probabilistic models from trusted execution layers \;

● Human-in-the-loop oversight: evolving engineers'\; roles from code authors to systemic governors \;

● Security\, privacy\, and compliance in regulated\, high-scale financial environments \;

● Production monitoring: detecting hallucinations\, model drift\, and anomalous behavior early \;

● Balancing speed and risk in enterprise deployment cycles \;

Designed for executives\, tech leaders\, risk teams\, and AI practitioners\, this session delivers practical approaches for building trustworthy\, enterprise-grade AI systems.


Meet our Speakers
Ramya Chaitanya Chintamaneni
Principal Architect / Software Engineer Specialist\, Equifax
Moderator
David Harron
Chief Business Officer\, Intuitive.ai
Devesh Tripathi
Senior Engineering Manager (VP) - Agentic AI for Global Platforms\, Equifax
Sharad Varshney
CEO\, OvalEdge


Thank you to our Event Sponsors


Thank you to our Event Host
Equifax | Finastra


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


Online registration will close by 12:00 PM on June 23rd. On-site registration is NOT permitted 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:1505 Windward Concourse Alpharetta GA 30005 UID:e.1848.1480545 SEQUENCE:3 DTSTAMP:20260606T014814Z URL:https://members.tagonline.org/calendar/Details/the-governed-accelerator-scaling-enterprise-ai-presented-by-tag-data-science-ai-society-1754612?sourceTypeId=Hub END:VEVENT END:VCALENDAR