Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Data is flowing from mobile devices, social networks, and every digitized and connected product, machine and infrastructure. And all this data has potential for insight. Companies who are becoming data-driven are propelling themselves into the cognitive era. As Cognitive Businesses they will
Some economists and philosophers tell us that we are already in the midst of a fourth industrial revolution. But what does that mean for companies operating in a time of change and upheaval? Join us for a look at how operations executives are prioritizing technological change.
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive
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Automotive and manufacturing organizations deal with a massive volume of data, including global data from customers and data generated through internal business operations, research and development (R&D) and supply chain activities. These data sets represent an opportunity for an organization
Using a powerful big data platform from IBM, Vanderbilt University School of Medicine clinicians cut research timelines from nearly a year to only a few weeks to help accelerate the pace of discovery and, ultimately, improve patient health.
IBM's Big Data platform is leading clients into a new era of computing by making data exploration and analysis simple, fast and economical. The newest crop of innovations, which represent the work of thousands of IBMers in labs around the world, are designed to help companies harness all data and
IBM has a long history of innovating for our clients. IBM's Big Data platform is leading clients into a new era of computing by making data exploration and analysis simple, fast and economical. Stay tuned for new Big Data solutions from IBM Software.To learn more about how IBM can help unlock the
It was a wild weekend of mammoth matchups between formidable technology titans in the Smart Sixteen Big Data Challenge! With the field narrowed to the Elite 8, questions still abounded.
Would Predicting Customer Behavior be able to break the cool-under-pressure Improve Campaign Effectiveness to
Quality-of-service (QoS) is one of the most paradoxical metrics in the telecommunications industry. “Quality” of the customer experience is normally measured through surveys and logged feedback, but plenty of data can lead to good quantitative measures.
The field for the Elite 8 from the "Big Data Smart Sixteen" is set! In the Marketing region, Faster Reporting & Analytics’ star player faltered against the unselfish play and sharing of deeper customer insight of Predicting Customer Behavior (PCB). Paired with the energy and cheers from their
Big data bracketologists are busily selecting their top picks and priorities for the "Smart Sixteen" Big Data Management Tournament. What's most important to Marketing, IT, Finance and Infrastructure? Which business challenge will come out on top? Make your picks today!
Insurance companies are looking to accelerate the speed and increase the precision of catastrophe modeling, the process through which companies determine the exposure of current policies and the probable maximum loss (PML) from a catastrophic event. Catastrophe modeling is vital for setting policy