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The emergence of the algorithm economy

Algorithms are an essential feature of data science. So much so that Airbnb, who have a sophisticated data team, recently divided their group into Analytics, Algorithms, and Inference teams, showing how essential algorithms are. Most people have heard of them but are unaware of what exactly they are, or …

Build your own recommendation engine

Recommendations, or recommender systems, are one of the most powerful tools within the data science toolkit. Some recommendation engines focus on the top-level executives within a company, such as those who make the decisions about what is going to be available on Netflix or similar OTT services this autumn …

A year of GDPR: blocked users, hot potato, and opt-in fatigue

GDPR has been live for over a year now. After the rush last May to ensure that businesses were going to be compliant when it came to storing and using (or selling!) the private personal information (PII) data they store about individuals, we thought we would take a look …

The rise of the data driven D2C TV service

No observer of the TV industry in 2019 doubts that D2C (direct to consumer) is having its day. Driven by the extraordinary success of Netflix and its rivals such as Hulu, lots of long-established programming groups are now offering their own D2C services instead of or as an accompaniment …

The California Privacy Act and the future of data privacy

The California Consumer Privacy Act (CCPA), which comes into force at the beginning of next year, is, like the European Union's GDPR, a data law focussing on protecting the privacy of consumers. While legally it will only come into force in California, the rest of the country is watching …