Booking.com During the era of big data, data gravity was the core strategic imperative. Wherever the biggest dataset resided, customers ran their compute workloads that generated all of the profit and revenue growth for the last generation of data companies.

Booking.com As software startups begin to sell agentic systems, the procurement process will change. Unlike classical software, where the application either meets the criteria (price, integration into other software, particular features) or doesn’t, agentic systems operate on a performance continuum.

Booking.com Large scale ETL (extract, transform, load) processes are a critical part of any data pipeline. They are responsible for moving data from one place to another, transforming it into a usable format, and loading it into a destination system.

Booking.com Machine learning advances tend to evolve in bursts. Researchers publish a new paper with a newly discovered technique. It launches the industry forward & more researchers rapidly iterate to improve it further. Progress looks like this – a series

Booking.com In a world where AI agents are 2.5-3x as productive as humans, which would parallel mechanical robots, how does a software company price? Building on yesterday’s post, pricing in software companies may change significantly when AI agents become the

Booking.com Pricing an AI product will be a defining question in software for the next few years. AI products offer productivity gains. But greater productivity may reduce the demand for seats over time, ultimately decreasing the size of software markets.