Chris Seferlis
Transforming Business by Architecting Cloud and Data Solutions that immediately provide value
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Chris Seferlis is a Director of Technology Strategy at Microsoft where, for the past 6+ years he has helped customers bring their technical strategies to reality with a heavy focus on how they are using their data.
A former CIO with over 25 years’ experience in IT and a deep background in Data Warehousing and Business Intelligence, Chris brings a practical and theoretical approach to business technology challenges using a data driven mindset.
Chris holds an MBA from the University of Massachusetts, is a Microsoft Certified Trainer, and is a Lecturer at Boston University. He’s also a keynote speaker on the topics of Data, Innovation, and AI.
Finally, in 2023, Chris published the book A Practical Guide to Azure Cognitive Services and OpenAI; sure to be the first of publications highlighting the advantages of using AI and helping to maximize ROI and TCO.
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Stop Doing AI. Start Creating Value. - Turn AI Investment into Innovation, ROI, and Transformation
Artificial intelligence is creating unprecedented opportunities for organizations, but deploying AI is not the same as creating value. While many organizations begin their AI journey by focusing on productivity and automation, the greater opportunity is to rethink how work gets done, how decisions are made, and how AI can create measurable business outcomes.
In this session, Christopher Seferlis explores how leaders can move beyond AI experimentation and isolated productivity gains toward meaningful business transformation. Attendees will learn how to identify high-value AI opportunities, rethink existing workflows rather than simply automate them, balance AI capabilities with human judgment and accountability, and evaluate investments using practical approaches to value, ROI, and total cost of ownership.
The session provides a business-focused framework for connecting AI investment to outcomes such as increased revenue, reduced costs, improved customer and employee experiences, faster decision-making, and new organizational capabilities.
The goal is not simply to find more places to use AI. It is to help leaders ask a more important question: How would we design our organizations and the work within them differently if AI had always been available?
Why AI Fails in the Real World — and How to Build Systems That Don’t
Many AI systems fail not because the models are bad, but because the system around them delivers insight too late.
This talk examines why real-world AI often underperforms and introduces a framework for building predictive and prescriptive systems that surface problems before they become expensive failures. Drawing from real-world project data, failure analysis, and examples where small errors caused outsized impact, we’ll explore how timing, feedback loops, and system design matter more than model complexity.
This session is aimed at developers, IT professionals, and AI practitioners who want to build systems that actually change decisions.
AI Community Conference - Boston, 2026 Sessionize Event Upcoming
Boston Data and AI Saturday 2026 Sessionize Event Upcoming
Boston Area Global Azure Bootcamp Sessionize Event
Chris Seferlis
Transforming Business by Architecting Cloud and Data Solutions that immediately provide value
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