I’m sorry I haven’t published this week but, as I noted on Monday, a combination of travel and work on a side project made that nigh impossible. I promise I’ll be back in action next week.
However, I do want to make sure you didn’t miss this week’s ARCHITECHT Show and ARCHITECHT AI Show episodes, both of which are really insightful and happen to feature guests with very similar names talking about the state of artificial intelligence:
In this episode of the ARCHITECHT Show, data scientist extraordinaire Hilary Mason covers a wide range of topics, including her path from Bitly to Cloudera—where she’s now VP of research after the company acquired her applied research firm, Fast Forward Labs. Among other topics, Mason also discusses the state of AI readiness and adoption within large enterprises; the importance of getting “big data” pieces in place before jumping into AI; and who will actually do AI inside the companies that adopt it.
In this episode of the ARCHITECHT AI Show, Hillery Hunter—IBM Fellow and director of the Accelerated Cognitive Infrastructure group at IBM Research—speaks about the state of the art in deep learning systems design. She discusses some record-breaking results that IBM recently achieved in distributed deep learning; ideal use cases for state-of-the-art image recognition; andthe pros, cons and advancements in everything from GPUs to cloud-specific hardware such as Google’s TPUs.
The links above will open the podcasts on the show’s home page, but you can also listen to it pretty much anywhere else (e.g., iTunes, Google Play, TuneIn, etc.). Just click here to find out how.
Finally, while catching up on some news today, these three stories caught my eye. You probably already saw them but, if not, here are a few nuggets to think about before your weekend begins:
Tesla is working with AMD to develop its own A.I. chip for self-driving cars, says source (CNBC): If this is accurate, it obviously would be great news for AMD and less-great news for Nvidia and Intel. Of course, if they can ink similar deals with Ford, GM, etc., I think their tears over losing Tesla will dry up.
Database provider MongoDB has filed to go public (TechCrunch): The revenue (on pace for about $150 million in 2017) and losses aren’t so bad, but that’s not a lot of money compared with 30 million downloads of the free version. I guess the silver lining is the company has done it all (or mostly all) on subscriptions rather than support.
Salesforce to launch $50 million artificial intelligence fund (Reuters): The me from 2 years ago would not have believed Salesforce could be a meaningful force in AI, but I’m starting to change my tune. Its user base and ecosystem are so broad that anything it develops and productizes, or funds and helps productize, could have a pretty big impact on productivity—even if CRM is about 100 times less exciting than other AI use cases.