People walk in with the presumed answer. And they all end up leaving with a better question.
In the rooms I've spoken in, audiences are sure when they sit down, and the talk is usually the first time that gets questioned.
What I speak about
- 01
Enterprise AI, and what's actually difficult about it
The models work now. Everything around them is the job.
- 02
The best of the US, China, and Europe
Each of the three markets treats AI differently. Taking the strongest part of each is what works.
- 03
AI governance, and the dimension enterprise AI is built on
Enterprise AI builds governance into the design so it runs alongside everything else. That's what makes it compliant and safe to run.
- 04
Creator commerce: the system that makes it work
The creator economy is a real channel now. The value sits in the system around the model, and building it is an enterprise-scale job.
How I deliver
I've done all three. The ones that work are built for the room they're in.
Unravelling Gaming's Technological Evolution
The technology in gaming is the easy part. The real shift is when it becomes an inseparable part of how a business works, and Enterprise AI is in that shift now.
For Every Gamer: The Synergy, Value, & Future
Gaming got written off as not for most people. Enterprise AI is getting the same treatment now, and the cause people blame on the technology is really the architecture and governance.
The Future Is Now
The technologies people call 'the future' are the ones being built right now, and making them produce real results is the work. That's what Enterprise AI is about.
Gaming+: Connecting Non-Endemic Brands with the Gaming World
A gaming-as-marketing system designed for each industry is what works there. Enterprise AI is the same story: the domain-specific thinking is what makes it worth building.
Interested in having me speak? Let's talk about your event.
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