Data: Poklad, nebo peklo

Shingai George, Aviation Consultant specializing in data analytics, AI, and sustainability, shares how modern data platforms, AI-driven decision-making, and shared data ecosystems are helping the aviation industry adapt to a new era of geopolitical volatility, regulatory pressure, and sustainability demands. He explains how airlines are moving beyond decades of cost-and-efficiency optimization toward resilience as a competitive advantage, and how AI is reshaping everything from flight planning and predictive maintenance to passenger experience and emissions management. He also explores why the future of airline success lies in shifting from short-term yield to long-term customer value, using AI to build loyalty and trust, not just revenue. Drawing on experience across customer service, flight operations, route development, flight safety, MRO, and sustainability, he highlights why aviation, one of the world’s most interconnected industries, must move from fragmented optimization toward network-wide intelligence. 

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Chris Peart, Sales Leader at Snowflake Canada, shares how unified data, governed context, and agentic AI are reshaping how enterprises turn information into action. He explains why "context is king" as frontier models become commoditized, how a single AI Data Cloud across AWS, Azure, and GCP removes the brittleness of traditional architectures, and how Snowflake Cortex and Coworker give knowledge workers immediate answers instead of waiting weeks for engineering teams.

He also digs into the agentic future and the cultural shift required to win with AI: why "nobody sells anybody anything" and customers buy outcomes, why Canadian enterprises are falling behind global peers by being too cautious, and how the next frontier is autonomous agents negotiating with other agents across organizational boundaries.

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Brad Freels, Azure Data and AI Specialist at Microsoft, shares how meeting customers where they are, building AI Centers of Excellence, and diving in without waiting for "perfect data" are reshaping how enterprises unlock value from cloud, data, and AI. He explains why the biggest barrier to AI isn't technology but fear and paralysis, how partners compress time to value by bridging Microsoft best practices to each customer's unique environment, and why executive-sponsored Centers of Excellence lower the temperature on change management while creating guardrails that prevent shadow AI and governance nightmares. He also shows where to start now, such as standing up a 60-day Fabric trial, rebuilding an existing report, and letting AI itself help curate the messy data you already have, because your competitors aren't waiting and neither should you. 

Shannon Bell, EVP, Chief Digital Officer and Chief Information Officer at OpenText, shares how “information first” thinking, simplicity, and agentic AI are reshaping how large enterprises work. She explains why most enterprises don’t have an AI problem but an information problem, how to go slow to go fast with AI, and how a blended workforce of humans and AI agents turns scarce skills and fragmented processes into scalable value. 

Crucially, she digs into change management and the future of jobs: why fear of displacement is often higher than the reality, how to position AI as a copilot rather than a competitor, and what it means to give 22,000+ employees an AI development goal so they can actively shape how their roles evolve. She also shows where agentic AI is ready now, such as search and summarize, root cause analysis, and software delivery, and why success depends on clear roles, governed data, and using HR and SRE teams as early champions to build an “AI fabric” across the enterprise. 

Brandon Ash, Director of Solution Engineering at Microsoft, shares how enterprise leaders can navigate the AI era by building governed, unified data foundations. He explains why the semantic layer is more critical than ever, how OneLake enables a "skunkworks with guardrails" approach, and why customers who embrace partners go further, faster. 

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Justin Rister, Senior Cloud and AI Specialist at Microsoft, explains why leaders should start with business pain points, not technology. He shares how Fabric unifies the analytics stack for teams of all skillsets, why Databricks and Fabric are a better-together story, and how an AI layer on unified data empowers business users to ask questions and get answers without waiting on IT. 

Tamer Farag, Global Fabric Partner Lead at Microsoft, shares how the fastest-growing analytics platform in the world is helping 31,000 customers unify fragmented data estates and unlock AI value. He highlights why you don't need to move your data to govern it, how mirroring is offered free to accelerate adoption, and what makes partners like Adastra critical to scaling Fabric globally. 

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