A lot happens when you spend more time traveling around and working with enterprise teams. The questions I hear are changing.
A year ago, it was: "What model should we use?"
Now it's more specific. What to build, why, plus people and teams.
"How do we build internal AI capability?"
"How do we evaluate these systems?"
"How do we move from experimentation to production?"
Leading companies with their AI solutions fully in production are the ones investing in their people. That's why we created a new Enterprise Program Guide, built around the idea to create people who can build.
You can take a look and preview the work we do with Morgan Stanley, Accenture, Informa, our partners at AI Aspire, and keep AI Makerspace in mind to help with the foundational work ahead.
And speaking of building...this fall we're releasing The AI Engineering Bootcamp: Build, Ship, Share. It ships this fall on 10/6, and is available to pre-order today on Amazon.
A practical guide to production AI engineering, shaped by the lessons learned across hundreds of students, enterprise practitioners and use cases.
The book includes our sought after AI Engineering training from our former Bootcamp as a self-paced guide you can keep around to reference. A special thanks and shoutout goes to my co-authors, Chris Brousseau and Chris Alexiuk for their industry-leading knowledge, drive, and making this happen.