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Vince Stuntebeck
Vince Stuntebeck

Vince Stuntebeck

Co-Founder, NavAlytix.AI
Director, Agentic AI, Data & Integrations, Salesforce
Bio

As a global AI and technology leader with over 20 years of experience, Vince focuses on pairing strong AI technical expertise with deep business acumen to accelerate the delivery of high-impact data and AI solutions.

Vince’s experience as a leader in technology and AI product development spans organizations from $1B to $23B, including over a decade within technology firms.  Most recently, Vince focused on delivering AI agentic customer success experiences at Salesforce, including one of the most prominent B2B AI agent implementations in the market on help.salesforce.com. This AI agent reduced the total volume of support cases by 5% while visits to the help portal increased by 2%.  The agent had an 86% case resolution.  Vince is currently a co-founder for NavAlytix AI, a firm focused on helping companies accelerate ROI from AI technologies.

Vince frequently speaks on applied AI at conferences and shares his knowledge by teaching graduate level applied data science courses at the University of North Carolina.  He also serves on the industry advisory board to the new school of data science and society at UNC in an effort to help the school build a better world through data-informed decisions.


From Failure to Value: A Practitioner's Guide to Successful AI Transformation

Featuring: Steve Novak

Despite unprecedented investment in data and artificial intelligence, a portion of AI initiatives fail to deliver measurable business value. This session reveals why—and provides a proven framework for success.

Through analysis of AI implementations across manufacturing, healthcare, and financial services, we’ve identified that the primary barriers to AI success aren’t technological. Instead, data infrastructure gaps and organizational readiness issues account for the vast majority of failures. Organizations repeatedly attempt to deploy AI as technology initiatives, leading to stalled projects, wasted investment, and growing skepticism.

This presentation introduces a value first methodology that reverses the typical approach. Rather than starting with AI models and hoping data challenges resolve themselves, successful implementations follow a structured sequence: identify opportunity for value, assess organizational readiness, build data foundations, validate AI-readiness, then deploy and operationalize AI solutions.

Attendees will learn:

  • Root causes of AI project failure and how to diagnose them early
  • An Assessment Framework for identifying data, people, process, and technology gaps
  • A value-driven methodology for prioritizing use cases with measurable ROI
  • Real-world case studies spanning multiple industries and use cases
  • A practical checklist and warning signs to apply immediately

Whether you’re leading AI initiatives, supporting transformation efforts, or advising organizations on analytics strategy, you’ll leave with actionable frameworks to dramatically improve AI success rates in your organization.

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