Most people know that AI models like ChatGPT, Claude and Gemini are trained on vast amounts of digital data.

What far fewer people realize is what happens after that training and why an entirely new industry has emerged around making AI smarter, more reliable and more useful.

Join the UC San Diego AI Alumni Council for a fascinating behind-the-scenes look at the hidden human expertise shaping today's frontier AI models.

We'll hear from leaders at Handshake AI and Databricks, two companies working at different layers of the AI ecosystem. At Handshake AI, expert networks are helping create the high-quality post-training data that teaches models to reason more effectively, follow complex instructions and perform specialized tasks. At Databricks, enterprises are learning how to evaluate, monitor and deploy AI systems responsibly in real-world business environments.

Together, we'll explore questions that almost everyone asks but few people can answer:

• Why do AI models keep getting better?
• Who actually teaches and evaluates today's frontier models?
• Why is high-quality human expertise becoming one of AI's most valuable resources?
• How do organizations measure AI quality before trusting it in production?
• What new career opportunities are emerging as AI creates demand for expert reviewers, evaluators, and domain specialists?

Whether you're an AI practitioner, business leader, student or simply curious about what's happening behind the scenes, you'll gain an insider's perspective on one of the fastest-growing — and least understood — parts of the AI revolution.

Featuring Sahil Bhaiwala, Chief Strategy & Innovation Officer at Handshake AI, and Anjana Sriram, Solutions Engineer at Databricks and UC San Diego alumna. Sahil leads Handshake AI's long-term strategy and innovation roadmap, bringing prior leadership experience from Scale AI's rapidly growing GenAI data business.