The decade of data is here, as shown by bellwether startups across the most exciting categories, like AI/ML, ELT and orchestration, and data observability.
As traffic explodes, programmable chips are creating ways for the biggest companies to differentiate, with major implications for the industry.
As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well?
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.
Software systems are increasingly based on data, rather than code. A new class of tools and technologies have emerged to process data for both analytics and ML.
Software systems are increasingly based on data, rather than code. And a new class of tools and technologies have emerged to process data for both analytics and operational AI/ ML.
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?
We have noticed in many cases that AI companies simply don’t have the same economic construction as software businesses. At times, they can even look more like traditional services companies.