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My personal cheatsheet: IBM IOD 2013 day one announcements

November 5, 2013

IBM Information on Demand (IOD) is always an overwhelming experience. It can be hard to wrap your head around all the announcements we roll out on day one. It's even hard for we IBM-ers.

That's why many of us (self included) walk around with cheatsheets to help us keep it all straight. I compile a literal cheatsheet (a single piece of notepaper that's too cluttered to show anyone) and a virtual cheatsheet. The latter resides entirely in my head, and becomes the foundation of summary blogs such as this.

Alliterations are my favorite mnemonic, so here goes. Here are the "7 Cs" of today's IOD announcements:

  • Cloud: IBM is moving our big data analytics portfolio inexorably, but not exclusively, into the cloud. We are emphasizing flexibility in deployment "form factors": cloud, appliance, software and virtualization. On day one, we reaffirmed that one of our recent acquisitions, SoftLayer, is fast becoming the foundation of our cloud portfolio. We're proud to note that SoftLayer has added more than 1,000 new clients since IBM's $2 billion acquisition four months ago. On day one, we also introduced an early access preview of BLU Acceleration for Cloud (bluforcloud.com). This service leverages IBM’s advanced technologies powered by in-memory database and business analytics technologies for agile data warehousing. We also announced IBM SmartCloud Analytics - Predictive Insights for IT infrastructure optimization. And we came out with a new version of SmartCloud Virtual Storage Center that automatically adjusts storage provisioning based on data usage patterns.
  • Cognitive: IBM underlined its commitment to cognitive computing, machine learning and predictive intelligence within our big data analytics strategy. Today we announced IBM SmartCloud Analytics - Predictive Insights, which will provide clients with the ability to use cognitive and predictive intelligence to optimize their IT infrastructure. There is also a cognitive-computing machine-learning component to the SmartCloud Virtual Storage Center enhancement. And I like to think of real-time, in-memory technology--in particular BLU Acceleration--as "cognitive" in the sense that it enables speed-of-thought analytics (see this recent blog for my broader definition of "cognitive computing"). We had several BLU announcements, including the IBM Business Intelligence Pattern with BLU Acceleration for PowerSystems, plus the aforementioned preview of BLU Acceleration for Cloud, on top of the recently announced IBM BLU Acceleration Solution - Power Systems Edition.
  • Comprehensive: IBM released enhancements and additions to our comprehensive big data analytics solution portfolio. In addition to the recently released PureData System for Hadoop and new midmarket-focused PureData System for Analytics N2002, we announced new versions of IBM InfoSphere BigInsights and InfoSphere Streams, as well as a new, smaller configuration of IBM PureData System for Transactions.
  • Consumable: The PureData System announcements all focused on appliance-grade simplicity for making big data analytics more consumable. In addition, the new big data exploration capabilities in InfoSphere Data Explorer addressed consumability by making it easier to search, visualize, and profile large, diverse data sets.
  • Confidence: IBM's announcement of the new InfoSphere Data Privacy for Hadoop allows customers to anonymize data in and secure access to Hadoop, NoSQL and relational database systems, thereby complying with privacy and security mandates. And we announced the release of an Information Governance Dashboard. This new product displays governance policies and data lineage visually, thereby supporting greater confidence in data's trusworthiness.
  • Customer: IBM announced continued customer momentum in big data analytics. We shared examples of how several customers – Consolidated Communications, Denihan Hospitality Group, Memorial Healthcare System, Daimler Trucks North America and Emory University Hospital – are using IBM big data and analytics technologies to reduce operating costs, prevent fraud and improve the customer experience.
  • Curriculum: Data scientists are the rockstars of this IOD, as underlined by the fact that we have Jake Porway as emcee. In the conference keynote, Bob Picciano and Les Rechan discussed IBM Analytics Centers throughout the world that help clients develop expertise. They also discussed our academic initiative working with universities on big data curricula. I was struck by the buzz among IOD 2013 attendees around the need for more rigorous curricula in data science, addressing cognitive computing and big data skills. Data science is also at the heart of the recent report by the Institute for Business Value (IBV). Chief among that report's findings was that the gap between the demand for Big Data and analytics talent globally and the supply of talent locally is one of the key obstacles to analytics implementations across all organizations. Oh....I'd be remiss if I didn't note that I myself moderated a day one expert panel about data scientists. My panelists and I went deep on the need for more college-level curricula to train and certify the next generation of data scientists.

Here is the primary day one press release in which most of these announcements are contained. For more information, please contact anyone here at IBM to help you navigate these "7 C's." If you're here at IOD, please stop on down to our booths on the EXPO Floor for demonstrations and discussions.