Much ‘Artificial Intelligence’ is still people behind a screen
Building AI systems requires many hours of humans training algorithms, and some companies have fallen into the gray area between training and operating. Photo: Bloomberg
Building AI systems requires many hours of humans training algorithms, and some companies have fallen into the gray area between training and operating. Photo: Bloomberg
Humans cannot watch thousands of transactions happening in real time, but an AI can monitor huge flows of data, and then take action to spawn
5 experts discuss how to use AI to grow your business and at the same time, create enterprise value — more productivity and revenue Investing
It would appear that anchoring financing from Artificial Intelligence (AI) startup accelerators is like a drop in the bucket nowadays. AI is a popular expression
I interviewed David Sacks last August about his interest in cryptocurrency. His interest was well-founded as the whole asset class took off last fall. In
In this interview, Hone Capital managing partner Veronica Wu describes how her team uses a data-analytics model to make better investment decisions in early-stage start-ups.