Ali Ghodsi and Martin Casado explore the evolution of data architectures and where they’re going, and consider a surprising use case for streaming data.
Customers are looking for artificial intelligence and machine learning help. So what does this all mean for the software value chain?
We cover the buzz around GPT-3 and what it means for both startups AND incumbents... and the future of "AI as a service"? How do we know how good it is/ isn't?
How then do we tease apart what's real vs. what's hype when it comes to the excitement about artificial intelligence and machine learning?
How do companies make tradeoffs in designing products between humans and machines? How do we plan for the future without falling for the "fatal conceit"?
Who has the advantage in artificial intelligence — big companies, startups, or academia? What happens as AI moves from its "in vitro" to its "in vivo" phase?