Big Data Research

Switching hats from media industry leader to media consumer

What would you do with your data?

September 19, 2014
At IBM Insight, we have sessions specifically geared to the media and entertainment industry—your industry. But, we don't want you to just come and listen to us talk about audience analytics and demand forecasting. We want you to switch hats so we can listen to you. Read More

Putting data to work for everyone in your organization

September 19, 2014
It seems that everyone these days is interested in big data: using more data, more quickly and making better decisions from it. How does your company interact with data? Or, more specifically, how do business users interact with data? Read More

Connecting the Internet of Things and the Informix Warehouse Accelerator

September 18, 2014
The Internet of Things (IoT) continues to gain momentum as organizations explore the opportunities and challenges around connecting the unconnected—from people, to devices and everything in between. These efforts will also significantly expand the volume of captured data. Learn how you can securely combine structured, unstructured, TimeSeries, spatial and other sensor data from the Internet of Things into a single source of intelligence with the Informix Warehouse Accelerator. Read More

IBM Watson: Core of the cognitive revolution

September 18, 2014
Thinking is as natural as breathing—but what about for a computer? Read More

How big data and analytics are making retailers more customer-centric

September 12, 2014
Today retail customers are more empowered, instrumented and interconnected socially. With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. In order for retailers to capitalize on this, they need ways to collect, manage and analyze a tremendous volume, variety, velocity and veracity of data. By using the valuable insights from this data, businesses can better personalize marketing, improve campaign effectiveness, optimize product assortments and perfect merchandising decisions, thus removing inefficiencies in distribution and operations.  Read More

An industry vertical analysis: Telecommunications and big data

September 11, 2014
Big data is poised to reshape the way we live, work and think. The telecommunications sector, which has been slow to realize the shifting ground, is catching up to redefine the customer digital experience, using big data and analytics. Read More

How leading media companies increase customer value

September 9, 2014
Throughout the year, I’ve been participating in a series of day-long “Art of the Possible” sessions with clients that run the gamut of media and entertainment. I’ve met with cable companies, broadcast TV providers, movie studios, sports networks and beyond. Read More

Understanding and embracing the Internet of Things

#IoTChat with Ovum's Gary Barnett

September 3, 2014
The “Internet of Things” (IoT) describes the phenomenon of “ubiquitous connectivity” with physical objects, made possible by the widespread use of sensory devices and wireless technologies throughout our environments. Read More

How next-generation infrastructure informs better, faster decision-making

August 28, 2014
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today's business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.  Read More

Make sure your big data isn’t bad data

August 26, 2014
When data floods companies in such volume as recent years have seen, it can be difficult to know if big data is reliable data. This “data uncertainty” poses a problem for any company hoping to take advantage of their information’s potential. How can companies ensure that their data meets the confidence levels required to effectively apply it? Read More

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