big data
8 statements across 4 episodes · 3 bullish · 2 bearish · 4 people on the record · first statement Apr 13, 2016 by Roy Bahat · across every show →
Everything said about big data, oldest first
Apr 13, 2016 bearish
Big data produced valuable technologies but very few valuable standalone businesses
“The, you know, the quote-unquote big data thing Turns out to have produced a number of very valuable technologies, not that many valuable businesses and part of it is because the data on its own, as everybody knows, is, you know, it's just information.”
May 30, 2016 bullish
Turck: Big data is entering its enterprise production phase in 2016
“I think that we actually just entering truly interesting part of big data. I think everything so far, and it's been years in the making, has been about the early stage of creation of tools, of creation of companies, startups, of experimentation, and we're just…”
May 30, 2016 positive
Turck: Deep learning's resurgence required big data and NVIDIA GPUs
“Deep learning for the most part was really developed by some, you know, particularly forward-thinking researchers like, you know, you have a con, Jeff Hinton, that, that, that group, and it's really only up until recently when those algorithms intersected with…”
May 30, 2016
May 30, 2016 neutral
May 30, 2016 positive
Turck: Big data culture applies to all companies, not just tech giants
“As every company is becoming a technology company there's an ever increasing amount of data that's available to them that can be analyzed. So there's an opportunity to develop a very powerful data-driven culture and be much smarter about one's business. And Th…”
Aug 21, 2017 neutral
Gross: AI in 2017 mirrors the 2005 big data hype cycle
“AI today is a little bit like that kind of big data trend everyone talked about in 2005 and six, where it's changing the world in a bunch of different ways that I'll detail in a moment. But it's not really living up to, I think, all the hype, and that's probab…”
Oct 16, 2017 negative
VanDevender: Most 'big data' datasets are only megabytes or gigabytes
“Most of the things that are sort of big data are actually not that big. You know, you would like to, you'd like to think of these petabytes and exabytes floating around there and coming up with really amazing insights that could never have been seen. But a lot…”