Tomasz Tunguz, Venture Capitalist at Redpoint Ventures and author of Winning with Data: Transform Your Culture, Empower Your People, and Shape the Future, discusses the future of machine learning and artificial intelligence with Ludo Ulrich, Head of Startups Relations at Salesforce.
29. INVESTMENT
STRATEGY
1. Proprietary access to data
2. End to end applications,
not platforms
3. Strong GTM enabled by
ML
4. Experts in the field
5. Potential algorithmic
advances
1. put into the context of it being a big wave (mobile and cloud)
2. how big can this be. examples of multibillion dollar companies
the old way and the new way
3. framework for how we are going to invest
end to end applications vs generic platforms
proprietary access to data
assume algorithms are commodity
4. remove the criminal example
5. why now. why are they working now (compute power, data access, open sourcing, new research)
how much more data and how much more compute is necessary
6. share deck with steve and satish
Fukoku Mutual Life Insurance Co. is planning to slash nearly 30 percent of its payment assessment department's human staff after it introduces an artificial intelligence (AI) system in January 2017 to improve operating efficiency.
ニュースサイトで読む: http://mainichi.jp/english/articles/20161230/p2a/00m/0na/005000c#csidx1e5569e9c1439c7ac4c8a88c657c6b2
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