Generative AI is everywhere—if you believe the hype, it’s about to do your job, your laundry, and maybe even finally explain your company’s expense policy. But for most CxOs, the real question is: “When does this thing actually deliver value I present to the board (or at least discuss at the next leadership team offsite)?” Too many AI projects end up as flashy demos or chatbots that could win “Employee of the Month” for answering FAQs, but somehow leave the real business needles superglued in place.
Here’s the plot twist: the road to real, measurable ROI isn’t paved with chatbot scripts or LLMs playing it safe in the shallow end. It runs straight through your company’s structured data—the CRM, IoT feeds, production logs, and all those spreadsheets that haunt your dreams. Imagine if your LLM could act like a caffeine-fueled consulting team that never sleeps, always on call, sifting through your operational data treasure trove and surfacing the recommendations that actually move your most important business metrics. The trick? Letting LLMs extract, connect, and make sense of the numbers that matter—without forcing your teams to moonlight as AI engineers or take up interpretive data dance.
In this session, we’ll ditch the buzzwords and walk through a practical, slightly irreverent methodology for dragging GenAI out of the innovation lab and into the operational trenches. You’ll learn how to cut through the noise, zero in on the data that counts, and build a culture where AI doesn’t just sound smart—it actually makes your business smarter. Because at the end of the day, it’s not about how clever your AI is; it’s about how much cleverer your business becomes.

Chief Growth Officer, SparkBeyond