FuzeBox AI Executives to Headline Panel on AI Workflow Strategy at Global Gaming Expo 2026
FuzeBox AI Executives to Headline Panel on AI Workflow Strategy at Global Gaming Expo 2026
FuzeBox AI CEO Les Ottolenghi and Chief Strategy Officer Dr. Robert Rippee will bring a cross-industry perspective on making AI actually work to G2E 2026 in Las Vegas.
LAS VEGAS--(BUSINESS WIRE)--FuzeBox AI today announced that its leadership team will take the stage at the Global Gaming Expo (G2E) 2026, September 28 through October 1 at The Venetian Expo in Las Vegas. The 60-minute moderated panel, titled "Workflows Before Bots: What Gaming Can Learn From Outside Industries About Making AI Actually Work," is featured as part of the Business Solutions & Tech track's Digital Technologies program.
Dr. Robert Rippee, FuzeBox AI's Chief Strategy Officer, will moderate the session, drawing on his background as a former casino-industry marketing executive and current academic researcher to connect the discussion back to gaming and hospitality operations throughout. Joining Dr. Rippee on the panel will be Les Ottolenghi, CEO of FuzeBox AI, Brent Lessing, CITO of Ken Garff Automotive, and Dr. Nasim Binesh of the University of Florida, a research academic and expert in AI and AI measurement.
The session will explore AI adoption, drawing on cross-industry threads of digital transformation engagement, live event deployments, and customer acquisition economics.
"AI adoption in this industry has been driven by urgency. Boards want results, so operators buy tools first and figure out the workflow later," said Les Ottolenghi, CEO of FuzeBox AI. "That's the discipline we want operators to walk away from G2E with—not another vendor pitch, but a way of thinking they can apply the same week, with whatever tools they choose."
Session scheduling, the full panel roster, and additional details will be confirmed closer to the event. More information on G2E 2026 is available at globalgamingexpo.com.
About FuzeBox AI: FuzeBox AI helps organizations design AI and automation around how work actually happens, mapping workflows before deploying tools, so technology fits operations instead of the other way around.
