Connect with the people pioneering where data goes next in person or join the live stream June 22, 2017. Learn how to leverage all the elements of data and analytics and secure your competitive advantage with machine learning. Register today.
IBM Analytics VP of Marketing Jeff Spicer sits down with Data Scientist and evangelist Dez Blanchfield to recap IBM InterConnect 2017 and give his insights into a few of the announcements from this year's event.
We might not all be nuclear physicists, but some of us are. Take Dr. David Farley, for example, who is a principal member of Sandia’s technical staff, with the Department of Energy. David, who works with some of the world’s brightest minds in the fields of nuclear energy and security, is a
Many companies today have already begun leveraging their big data to gain a competitive edge. As the world's new natural resource, big data can drive business decisions and catapult organizations to the top of their industry. IBM is helping businesses make sense of all that data.
Big data is everywhere and in everything. It’s infused in phones, cars, roads, power lines, waterways, food crates and innumerable other items you’d never think of as computers. Technology is more powerful and accessible than ever before, but there are still many civic challenges in need of
Innovation and growth. Those are the first two responses given when IBM speaks to executives about their priorities in dealing with data. Organizations are facing challenges in managing the scope and large-scale transformations that they need to deal with rapid data expansion. This new reality
Big Data Bytes is a weekly videochat where we look at some of the hot articles, blog posts, and social chatter about topics related to big data. For Friday, May 17, 2013, our guests were Frank Fillmore (@ffillmorejr), Founder and President of The Fillmore Group, and Tom Deutsch (@thomasdeutsch),
developerWork's Scott Laningham interviews IBM Big Data Evangelist, James Kobielus, on why big data is so important, the role of Apache Hadoop and IBM BigInsights in making sense of big data, the evolving role of the data scientist, and and where data warehousing and big intelligence fit in.