Tom Rosamilia, IBM - #IBMEdge - #theCUBE
01. Tom Rosamilla, IBM, visits #theCUBE!. (00:18) 02. The Growth of the IBM EDGE Conference. (00:40) 03. IBM's Clean Portfolio and Changes to the Business. (01:04) 04. Understanding HyperLedger and the Opportunity of Blockchain. (02:47) 05. Technology Innovation: The Imperative of Data Value and Real-Time. (04:43) 06. IBM's History and The New Investment in Open POWER. (06:35) 07. IBM Building for the Cognitive Era. (08:17) 08. The Business Model Innovation: Disruption is Everywhere. (09:59) 09. IBM Focus on Partnership and Open. (11:22) 10. IBM: An Arms Dealer to the Hyperscale Space. (12:50) 11. The Need for Great Hardware. (14:30) 12. Expanding the EcoSystem at IBM and OpenPOWER. (15:57) 13. What to Expect from EDGE Going Forward. (17:52) Track List created with http://www.vinjavideo.com. --- --- ‘Big Data on steroids': Cognitive is so big, IBM isn’t adding it, they’re building for it | #IBMEdge by R. Danes | Sep 21, 2016 Optimizing an enterprise for Big Data can be a frustrating scrabble from open-source platform to proprietary vendor to SaaS subscription. And don’t look now — here comes cognitive computing, which is going to demand even more from all levels of the stack to get up and running. One company is already building with this in mind, purporting to offer systems with baked-in cognitive capabilities. Tom Rosamilia, SVP of IBM Systems, said of cognitive computing, “It’s Big Data on steroids.” He told Dave Vellante (@dvellante) and Stu Miniman (@stu), cohosts of theCUBE, from the SiliconANGLE Media team, during the IBM Edge conference that while many are talking about adding cognitive, IBM is going deep into the architecture and building for it. Cognitive class architecture “To me it’s about building for cognitive, saying, ‘What do I need to do within storage, especially within power architectures to deliver for cognitive?'” Rosamilia said, noting that IBM’s OpenPOWER is an ideal canvas for this. Partners like Nvidia Corp. and Mellanox Technologies are pitching in with the technologies they bring to the table. Case in point: “It turns out that machine learning, for example, an ingestion, really works very well with GPUs [of which Nvidia is a maker],” he said. “The things that we called the play on for OpenPOWER actually were designed to build for the cognitive era.” The shrinking data window Rosamilia said that flash storage also seems to have been made for cognitive computing, which demands excessive speed to deliver on its promise. Most of the data an organization gets doesn’t keep well, he said, so they need cognitive computing to extract value from it before the clock runs out. “The statistic I’ve seen is 60 percent of the data that’s out there goes very quickly to zero value,” he said.