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"The questions you want to ask of this data are ‘show me the nearest neighbour, show me the twice-removed nearest neighbours.’ Trying to do that in a classic relational database is a very difficult problem to solve, both from an efficiency point of view, but also just... storage."

“Architecturally, content is starting to play a very big role in transformation.”

"By being able to separate the compute and storage, it really opens up new use cases"

The machine learning team leader on how and why the firm adopted Amazon Neptune to power collaboration...

"I think that's a real sweet spot..."

"Risk management is about 'how much' -- and 'how much' is about money"

"Things are moving so fast that receiving a piece of information that is TLP-red, which means that you cannot even tell your colleagues, creates..."

From subwoofers, to SASE

Ataccama’s Larry Hunt, a 25-year banking data veteran, argues that AI hype is colliding with reality: decades of inconsistent processes, technology debt, and data siloes. So, what now?

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