Data & AI Mastery Building Pragmatic AI: How Andy MacMillan, CEO at Alteryx, is Empowering Enterprises to Harness Data Effectively
Oct 15, 2025
In this engaging discussion, Andy MacMillan, CEO of Alteryx, shares his journey from product management in major companies like Oracle and Salesforce to empowering non-developers to harness messy data. He reveals how to implement AI responsibly in organizations and the importance of creating AI alongside legacy systems. Andy also explains the concept of agentic AI, emphasizing context for accurate decision-making, and highlights how practical problem-solving can drive ROI, citing examples like McLaren’s use of race data.
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Platform For Non-Developer Data Power
- Alteryx empowers data-literate non-developers to build automations and insights from messy sources.
- The platform closes the gap between business knowledge and scalable data-driven solutions.
Agents Require Business Context, Not Just Data
- Agentic AI needs deep understanding of an organisation's data and processes to make trustworthy decisions.
- Simply exposing LLMs to raw cloud data warehouses won't produce predictable, business-aligned answers.
Start Small With An AI Data Pipeline
- Start by picking discrete problems and build data pipelines that give AI the right context.
- Establish an approval process so teams don't just push arbitrary data into AI systems.