HATS AI: Building Secure & Effective AI Use Cases for Industry

Introduction to HATS Lab and Team

Mark Leeper, Director of AI Adoption at HATS AI, welcomes attendees to the HATS Lab and introduces his colleague Michael McPadden, setting the stage for the session.

HATS AI Platform Overview

Mark explains HATS as a platform for curating AI, offering no-code chat, workflows, and agents, integrating over 65 AI models and connecting to 75+ data sources securely, ensuring data privacy.

Problems HATS AI Solves

The speaker details how HATS addresses key challenges like shadow AI (unapproved tool usage), AI adoption, and providing education for developing valuable business use cases.

Anatomy of an AI Use Case

Mark introduces the fundamental three parts of any AI use case: Input (what and where), the Role of AI (the action), and Output (what and where), stressing the importance of defining these upfront.

Thinking Order for Use Cases

The session clarifies that while the use case has three parts, the optimal thinking order is Input first (what data, where), then Output (desired result, where), and finally the AI's Role (the verb/action).

Crawl, Walk, Run Framework

An explanation of the crawl, walk, run framework for AI adoption, starting with augmenting existing processes (crawl/walk) before moving to creating new, transformative processes (run).