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 Interactive Working Session: David Has AI. Goliath Has Meetings. Santiago Angulo VP of AI Transformation, Waystar / Juliver.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 .