sarah guo @saranormousΒ·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 @saranormousΒ·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 @saranormousReplying to @saranormous @shivon and @jamescham3/ ...but many enterprise "functions" or "intelligence" companies on the map haven't moved the needle, relative to other business tech3:47 AM Β· Apr 27, 2017Β·Twitter Web Client2 Retweets1 Quote Tweet34 Likes
sarah guo @saranormousΒ·Apr 27, 2017Replying to @saranormous @shivon and @jamescham4/ 99% of companies will say O365/Gsuite migration or AWS has a bigger impact on their businesses3656
sarah guo @saranormousΒ·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
Narinder Singh@singhnsΒ·Apr 27, 2017Replying to @saranormous @shivon and @jameschamthis is very true b/c most ent tech doesn't add value in precise ways that can be used to train AI 1/2
Narinder Singh@singhnsΒ·Apr 27, 2017Replying to @saranormous @shivon and @jameschamvendors marketed impact instead of analyzing it, thus the input to AI is often BS e.g. marketing automation