Hortonworks

Linux on IBM Power Systems: Support for cognitive computing

Throughout its more than 100 years of history, IBM has continuously reinvented itself to adapt to an ever-changing world. Likewise, the IBM Power Systems architecture has evolved as enterprise-class systems that are core to our business. Over the last decade, many organizations have consolidated workloads using Virtual I/O Server (VIOS) technology, and IBM Systems Lab […]

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From here to AI: Beyond the hype

Lessons from the Gartner Symposium I asked over 500 people two simple questions during our recent Gartner Symposium panel: “Who is implementing deep learning or machine learning technologies in your company?” “Who thinks these technologies are drivers of innovation, but have no idea how to get started?” The media coverage of artificial intelligence (AI) would […]

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An optimized platform for big data and machine learning

For organization leaders seeking to deploy the most efficient platform for big data analytics, machine learning, deep learning and cognitive applications, IBM and Hortonworks have partnered to certify IBM Spectrum Scale with Hortonworks Data Platform (HDP) on x86 servers. This adds to previous certifications for IBM Spectrum Scale and HDP on IBM Power servers. IBM […]

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Fast data: The future of big data

It’s not news that big data is getting bigger by the second.  However, in addition to sheer volume, there is also increasing demand to take action faster than ever based on the data.  An organization’s leaders want to gain a competitive advantage by turning raw data into actionable intelligence. How can they quickly and efficiently […]

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Honoring cognitive trailblazers

Last week in San Jose, I had the honor of presenting the inaugural “IBM Cognitive Honors” award at the Hortonworks Luminaries dinner, in conjunction with DataWorks Summit. IBM Cognitive Honors seeks to recognize individuals making noteworthy advances in AI/machine learning within their company or organization. The journey to cognitive and AI often starts with advanced […]

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IBM at DataWorks Summit: The future of data science

Marketplace disruptors have one thing in common: data science. Data science is the process of discovering hidden insights from massive amounts of structured and unstructured data, using methods such as machine learning, data mining and predictive analytics. This multi-disciplinary approach is changing the way organizations solve problems and gain competitive advantage. Join IBM at the […]

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What frustrates data scientists working on a Hadoop project?

Recently I talked to a data scientist experimenting with various Hadoop distributions and learned that the first step involved in any Hadoop project — before any analytics jobs can be run — is to copy the data to be analyzed into HDFS storage. HDFS is the Hadoop Distributed File System purpose built for Hadoop-based analytics. […]

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The race to modernize the enterprise database

At IBM Edge 2016 last week, I connected with IT leaders who are running into the limitations of their existing, aging data infrastructure.  In some cases, they have outdated systems that haven’t kept pace with modern data center requirements and are becoming too expensive for them to maintain.  In others, they run into intractable limitations […]

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Day one at IBM Edge 2016: Acceleration and innovation in Las Vegas

Edge 2016 started off with a bang as thousands of excited attendees arrived for the world’s premier IT infrastructure conference! After arriving in Las Vegas on Sunday, I headed to the registration booth to get my badge and a map from one of the volunteers. Then, it was on to exploring. I was blown away […]

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