Are companies ready to junk billions of dollars worth of older IT to embrace newbie big data platforms. Some vendors sure hope so.
Computers became way more productive when operating systems allowed computers to run different programs without having to be re-jiggered. Palantir thinks the same thing is about to happen to data.
Who should learn data science skills? UC Berkeley Dean AnnaLee Saxenian believes that everyone could benefit from knowing how to interpret data.
That security camera that’s staring at you in a store may just be there to scare off shop lifters — but it could also be used to help the store owner decide where to put which products.
Is it possible to build a successful app build around data capture when the developer doesn’t own or control the data? Absolutely, and RunKeeper is a perfect example: The data is key for patterns at scale to motivate users beyond their limits.
Trading on the New York Stock Exchange and internet traffic are predominantly made up of bots. Humans’ relationships with them will continue to evolve.
Uber, LinkedIn and Airbnb take different approaches to integrating data into their businesses, but they all agree that data is a crucial signal of whether their products and services are serving customers effectively or not.
Here’s the back story on Amazon’s new data stream processing engine Kinesis.
All sorts of industries, including clothing retailers like Guess, are using big data techniques to find a competitive advantage.
For the internet of things to succeed, its parts have to be interoperable, Intel’s Boyd Davis said at Structure Data Thursday.