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If you are confused about Hewlett-Packard’s cloud plan of action, this week’s guest will lay it out for you. Bill Hilf, the SVP of Helion product management, makes his second appearance on the show (does that make him our Alec Baldwin?) to talk about HP’s many-clouds-one-management layer strategy.
The lineup? Helion Eucalyptus for private clouds which need Amazon Web Services API compatibility; Helion OpenStack for the rest and [company]HP[/company] Cloud Development Platform (aka Cloud Foundry) for platform as a service. Oh and there’s HP Public Cloud which I will let him tell you about himself.
But first Derrick Harris and I are all over IBM’s purchase of AlchemyAPI, the cool deep learning startup that does stuff like identifying celebs and wanna-be celebs from their photos. It’s a win for [company]IBM [/company]because all that coolness will be sucked into Watson and expand the API set Watson can parlay for more useful work. (I mean, winning Jeopardy is not really a business model, as IBM Watson exec Mike Rhodin himself has pointed out.)
At first glance it might seem that a system that can tell the difference between Will Ferrell and Chad Smith might be similarly narrow, but after consideration you can see how that fine-grained, self-teaching technology could find broader uses.
AlchemyAPI CEO Elliot Turner and IBM Watson sales chief Stephen Gold shared the stage at Structure Data last year. Who knows what deals might be spawned at this year’s event?
Also we’re happy to follow the escalating smack talk in the Hadoop arena as Cloudera CEO Tom Reilly this week declared victory over the new [company]Hortonworks[/company]-IBM-Pivotal-backed Open Data Platform effort which we’re now fondly referring to as the ABC or “Anyone But Cloudera” alliance.
It’s a lively show so have a listen and (hopefully) enjoy.
SHOW NOTES
Hosts: Barb Darrow, Derrick Harris and Jonathan Vanian
PREVIOUS EPISODES:
Mark Cuban on net neutrality: the FCC can’t protect competition.
Microsoft’s machine learning guru on why data matters sooooo much
No, you don’t need a ton of data to do deep learning
VMware wants all those cloud workloads “marooned” in AWS
Don’t like your cloud vendor? Wait a second.
