1/ An unpopular point of view: many enterprise "AI products" and "machine intelligence" products built today have limited appeal or impact
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3/ ...but many enterprise "functions" or "intelligence" companies on the map haven't moved the needle, relative to other business tech
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4/ 99% of companies will say O365/Gsuite migration or AWS has a bigger impact on their businesses
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5/ AI-washing doesn't count. The reason co's adopt Salesforce isn't Einstein, it's configurable workflows, ecosystem and GTM dominance
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6/ Why is there such a gap b/w the significant multi-domain advances that Google has seen with ML, DeepMind, etc., vs. every other company?
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7/ Some reasons: A) inability to implement dramatic process change, B) lack of usable data, C) lack of access to both ML, engineering talent
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By C do you mean people capable of bridging applied ML with traditional engineering and business needs? To me, that's the enabler