HATZ AI: No-Code AI Orchestration for Industrial Engineers

Introduction to HATZ Lab & AI Adoption

Mark Leeper, Director of AI Adoption at HATZ, introduces himself and the purpose of the HATZ Lab: to help users find real business value and create educational content for AI adoption.

Focus on Web Search Tools

The session's main topic is web search tools, presented as a great entry point for understanding how AI can add value to daily AI workloads.

What is HATZ? AI Orchestration Layer

HATZ is defined as an AI orchestration layer, curating over 70 AI models in one secure, no-code platform, acting as an 'AI operating system' for businesses.

Problems HATZ Solves: Shadow AI & Adoption

HATZ addresses critical business problems like 'shadow AI' (employees using unapproved AI tools) by providing a secure platform, and facilitates AI adoption through education and use case development.

Anatomy of AI: Input, Role, Output

The speaker explains the fundamental components of any AI use case: input (what you give AI), the role of AI (what it does), and output (what AI gives back), emphasizing specificity in prompt engineering.

When to Use Chat, Agents, and Workflows

A detailed explanation of when to use different HATZ features: Chat for brainstorming, Agents for specific tasks with feedback, and Workflows for automating steps in a process.

Key Takeaway: Use AI to Use AI

The most important advice given is to leverage AI itself to write prompts, build workflows, and further enhance AI utilization.