Vin Mitty, PhD
Sr. Director of Data Science & AI at LegalShield (PPLSI) - Data & AI Adoption Executive | $35M+ Annual Revenue Impact | Author - The AI Decision Map | PhD in Data and AI
Oklahoma City, Oklahoma, United States
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Vin Mitty is a data and AI leader with a PhD in the field, researcher, and author of the book, The AI Decision Map.
Drawing from 2 decades of technology leadership, PhD research, and executive interviews on his podcast, Mitty helps organizations and leaders transform AI into measurable business outcomes.
Area of Expertise
Topics
Stop Building AI Demos: How to Ship LLM Features People Actually Trust
LLM demos are easy. Production AI is where things get weird.
In this talk, I’ll walk through what actually changes when you move from a clever prototype to an AI feature real people depend on: messy prompts, unclear user intent, unreliable outputs, security constraints, evaluation gaps, and the painful moment when demo accuracy collapses in the wild.
Using real-world lessons from building internal AI assistants, natural-language data tools, and enterprise AI workflows, we’ll cover how developers can design AI systems that are useful, testable, and trusted. We’ll look at practical patterns for scoping use cases, setting confidence boundaries, keeping humans in the loop, and measuring whether the AI is actually helping.
Attendees will leave with a simple framework for deciding when an LLM belongs in a workflow, when it doesn’t, and how to avoid shipping an impressive toy that nobody trusts.
From Data to Impact: How Data Teams can evolve in the AI era
With AI tools making Data analysis and visualization widely accessible, insights have become a commodity. Data teams no longer have the luxury to function just as a service provider and measure success based on delivery: reports completed, models deployed, SLAs met. But we need to evolve and operate as partners, success is measured by impact: churn reduced, conversions lifted, revenue protected, operations optimized.
In this talk, I'd like to introduce the Data Impact Framework: a practical roadmap for transforming data teams from service providers into strategic partners.
Success is redefined not by outputs delivered, but by impact achieved. Attendees will learn how to embed data and AI into real business workflows, co-own outcomes with stakeholders, and elevate the data function into a true driver of growth in the AI era.
From Dashboards to Conversations: How Conversational AI Tools Are Redefining Data Access
AI is changing how people interact with data - turning queries into natural conversations.
At a LegalShield, we built a Conversational Analytics chatbots that worked flawlessly in demos, but failed we rolled it out.
In this session, we’ll explore:
- How Conversational analytics tools really work (and where they fail)
- Why adoption depends more on trust than technology
- What it takes to ship AI products that works in production, not just in the demo
- How to measure success of AI products
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