sarah guo @saranormous·Apr 27, 20171/ An unpopular point of view: many enterprise "AI products" and "machine intelligence" products built today have limited appeal or impact18231400
sarah guo @saranormous·Apr 27, 20172/ My friends @shivon & @jamescham have done a fantastic job curating this ecosystem maporeilly.comThe current state of machine intelligence 3.0Watching the appeal and applications of machine intelligence expand.214106
sarah guo @saranormous·Apr 27, 20173/ ...but many enterprise "functions" or "intelligence" companies on the map haven't moved the needle, relative to other business tech3334
sarah guo @saranormous·Apr 27, 20174/ 99% of companies will say O365/Gsuite migration or AWS has a bigger impact on their businesses3656
sarah guo @saranormous·Apr 27, 20175/ AI-washing doesn't count. The reason co's adopt Salesforce isn't Einstein, it's configurable workflows, ecosystem and GTM dominance2868
Mike Bestvina@mbesto·Apr 27, 2017That's because Einstein isn't really a "thing", it's just marketing.1
Vitaly Gordon@vitalygordonReplying to @saranormous @mbesto and 2 othersouch. I totally agree about processes being more important than AI, but enterprise AI is very new. Same could have been said about cloud ...6:34 AM · Apr 27, 2017·Twitter Web Client
Vitaly Gordon@vitalygordon·Apr 27, 2017Replying to @vitalygordon @saranormous and 3 otherswhen it just started, but we can probably agree that SaaS was extremely transformational in enterprise software. I think AI needs some time1