The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
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…”
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…”
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…”
Turck: Spark Made Real-Time Massive Data Processing Possible
“What those guys are doing would simply not have been possible to do up until, you know, two or three years ago when the emergence of frameworks like Spark made possible, what was an alibi, it became possible to be processing You know, there's massive amounts o…”
Matt Turck: Big Data consolidation will not happen anytime soon at scale
“So eventually the industry will presumably consolidate. Every industry at some point consolidates. But my sense is that it's not happening anytime soon. It's certainly not at scale.”
Turck: Building a one-stop Big Data platform via acquisitions is prohibitively expensive
“It would be extremely expensive for a large vendor to acquire enough companies to offer one-stop shop.”
Turck: Vertical AI applications will create category-defining companies like x.ai
“I think there's going to be a whole range of interesting and compelling AI vertical applications, and the X.ai that you mentioned is certainly one of them, and certainly at the forefront of that trend is a rare opportunity to become a category-defining company…”
Turck: Google will deploy image processing AI at massive scale
“If you do something like image processing, which is something that deep learning is particularly great at you know, you need to think of a business model and a way of penetrating the markets that somehow does, doesn't put you in a direct collision course with …”
Turck: Venture investing requires balancing deep sector expertise with deliberate naivety
“There is a, this interesting tension between becoming a deep student of a specific industry like big data, internet of things, or any of those these different areas, and the industry in general, so really understanding all the nuances of how companies become s…”
Turck paused new venture investments due to 2016 market environment concerns
“I haven't made investments in, in quite a while now, and that's you know, part of the reflection of broader concerns around the environment and finding the right opportunity, doing the right thing at the right price and all the things.”
Turck: FirstMark invested in stealth New York enterprise AI startup Hyperscience
“The most recent investment I made, which is in semi-stealth, but, you know, coming out of stealth very, very in a matter of days now, is A company called Hyperscience which is based here in New York, and that does precisely AI for the enterprise”