Data

Latest

Data50: The World’s Top Data Startups

Jennifer Li, Sarah Wang, and Jamie Sullivan

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.

How ‘Hyperscalers’ are Innovating — and Competing — in the Data Center

Nick McKeown, Martin Casado, and Zoran Basich

As traffic explodes, programmable chips are creating ways for the biggest companies to differentiate, with major implications for the industry.

The Great Data Debate

Bob Muglia, Michelle Ufford, Martin Casado, Tristan Handy, and George Fraser

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?

Data Alone Is Not Enough: The Evolution of Data Architectures

Ali Ghodsi and Martin Casado

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.

Emerging Architectures for Modern Data Infrastructure

Matt Bornstein, Jennifer Li, and Martin Casado

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.

Emerging Architectures for Modern Data Infrastructure: 2020

Matt Bornstein, Martin Casado, and Jennifer Li

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.

Reining in Complexity — Data Science & Future of AI/ML Businesses

Peter Wang and Martin Casado

Customers are looking for artificial intelligence and machine learning help. So what does this all mean for the software value chain?

GPT-3, Beyond the Hype

Frank Chen and Sonal Chokshi

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?

The New Business of AI (and How It’s Different From Traditional Software)

Martin Casado and Matt Bornstein

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.

Revenge of the Algorithms Over Data

Sonal Chokshi, Frank Chen, and Steven Sinofsky

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?