With every company wanting to do AI, how do you actually get from raw data to ML and AI? Gu has been working in financial services and date for the past decade and has seen data infrastructure in various states. So I wanted to talk to him about his experiences, the challenges and mistakes he has seen when building data infra and how companies can better approach developing mature and reliable data stacks. I look forward to the conversation!

If AI Can Replace Workers, Why Is It Hiring Consultants?
956 views

Why Data Pipelines Exist - Beyond Moving Data From Point A To B
2.5K views

How To Start An Independent Consulting Company In 2026 | How To Start Freelancing Part 1
1.3K views

Leading Data Teams In The Age Of AI
1.2K views

The Future of Software And Data Engineering Teams (AI + Junior Problem)
1.2K views

Free Consulting Boot Camp Launch Video | Seattle Data Guy | Starting Your Freelancing Company
735 views