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TAG AI Summit: The AI-Powered Enterprise

November 17, 2026 8:00 AM - 4:30 PM (EST)

Description

AI is moving from experiment to operating reality.

The TAG Data Science & AI Summit 2026 is a full-day Atlanta experience connecting executive strategy with applied implementation. Designed for executives, technical leaders, practitioners, and academics, the summit brings together Georgia’s AI ecosystem to explore what it takes to move AI from ambition to measurable business impact.

The morning focuses on AI leadership, governance, and building an AI-ready organization. The day opens with a keynote on AI as the next competitive advantage, followed by two concurrent tracks:

  • LEAD — For executives and business leaders focused on AI strategy, organizational readiness, governance, and building the AI-powered enterprise.
  • BUILD — For practitioners and technical leaders focused on applied analytics, data science, and putting AI into production.

The morning concludes with an executive panel examining trust, governance, and AI risk.

The afternoon shifts from strategy to execution, exploring the analytics, data science, and AI systems that turn decisions into measurable business outcomes. The program features industry roundtables over lunch spanning financial services, healthcare, travel and transportation, telecommunications, manufacturing, and retail. The afternoon continues with a panel on moving from AI investment to business results, three interactive working sessions, and a closing keynote exploring the next wave of enterprise AI.

The summit brings together perspectives from organizations including Equifax, Delta Air Lines, Southern Company, AIG, FIS, Elevance Health, Synchrony, Honeywell, AT&T, IntellaQuest, Intuitive.ai, and Georgia State University’s J. Mack Robinson College of Business.

The day concludes with an invite-only AI Leadership Reception, bringing together senior leaders and innovators from across Georgia’s AI community.


Optional Executive Experience: Executive Roundtable Breakfast
Amit Patel
Founder & CEO, Perform


Welcome to the AI-Powered Enterprise
Beverly Wright
VP Data & AI Strategy, Intuitive.ai


Opening Keynote: The Next Competitive Advantage: Building the AI-Powered Enterprise
Ankur Manake
Forge Data and AI Leader, Honeywell


Track A | LEAD
Jasmina Chhabra
Global Head of Digital and AI Delivery, AIG
Jeff Dugger
Distinguished Data Scientist, Equifax
Kevin McKenzie
VP & CISO, Ferguson
Ravi Shankar Dangeti
Senior Director, Head of Data & AI Ecosystems Tech, FIS


Track B | BUILD
Shalmali Joshi
Senior Advanced Analytics Analyst, Carelon
Amin Lalani
Delta Air Lines
Elizabeth Lester
Assistant General Counsel, Intellectual Property, Equifax
Josh Raglin
Chief Sustainability Officer, Norfolk Southern


Executive Panel: Trust, Governance & AI Risk
Ankit Agrawal
Chief Technology Officer, USIS, Equifax
Kenneth Viciana
VP, Global Data & Analytics Products, FIS


Impact Panel: From AI Investment to Business Impact
Dr. Matthew Alberts
Manager of Innovation and Emerging Technologies, Southern Company
Dr. M Ramona Bryson
VP, Strategic Programs, Synchrony Financial, Georgia State University
Venkat Swaminathan
Senior Director AI Architecture, Honeywell
Devesh V. Tripathi
Senior Engineering Manager - AI & Platform Engineering, Equifax


Keynote: What's Next? Preparing for the Next Wave of Enterprise AI
Junda Zhu
Director of Artificial Intelligence, Honeywell 


Spotlight: AI Across the Generations and the Next-Gen AI Workforce
Sarah Margaret O'Brien
Data Scientist, Southern Company


Interactive Working Session: Curiosity to Capability: Making AI Work at Scale
Jonathan Flower
AI Engineer & Co-Founder, Workplace Labs


Interactive Working Session: The Enterprise AI Playbook
Ash Kamdar
Chief Growth Officer, Intuitive.ai


Closing Remarks: Reflections, the Future, and the Importance of Being Human
Ron McMurtrie
Chief Marketing Officer, previously at Honeywell
Savneet Singh
Global Policy Enforcement and Enablement lead, Trust & Safety, Google


Thank you to our Presenting Sponsor


Thank you to our Event Host


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


A TAG Data Science & AI Society Signature Event

Online registration will close by 5:00 PM on November 11th. On-site registration is available after this time. On-site registration will have a price increase for Non-Members.

Please 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.

Contact Information

Name: Jamarius Cole
Email: [email protected]
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