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Data

When it comes to technology, finance teams deserve better

Processes around spreadsheets become ossified and unable to change..."

A Spark of recognition: Databricks’ Dael Williamson on wet work, finops, data maturity

Look at Dael Williamson’s profile and you might wonder, briefly, how he wound up as a Chief Technology Officer: There’s the degree in molecular biology and the masters in structural biology and the research position in structural bioinformatics; here is someone perhaps trying to save the world, who

The Big Interview: How Goldman Sachs built a cloud for financial data

Lots of modular serverless AWS, lots of open source... We sat down with the team.

As CIO budgets tighten, Apache Superset looks like a Big Data winner

Free data exploration and visualisation tool continues to gain traction

BBC failing on personalisation: Spending 5% of Netflix

A 23% staff turnover in product is a warning sign...

Department for International Trade eyes more data, dangles £2m

DIT looks to build on supply chain intelligence data pilot...

AWS touts a "zero-ETL" future but has more than a little work to do

Aurora + Redshift + Spark...

Using Synthetic Data to Improve Models

Every data scientist would agree that there is no such thing as too much data and most would warmly welcome more when presented with the opportunity, writes Adam Lieberman, Head of AI and ML, Finastra. More data can potentially help create better models, but most projects face the problem of

TfL to scrap Oyster system under £1.5B new contract, looks to monetise payments data

"Project Proteus" details emerge...

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