Michael North, senior director of broadcast planning and scheduling for the National Football League (NFL), has a tough job: assembling the best, most exciting schedule for the complete NFL season that satisfies the requirements of the teams, the broadcasters and fans. It's truly a big data
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?
Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
Media and entertainment companies are in the midst of a fundamental shift in audience engagement. Traditionally, the best way to reach key audiences was to broadcast to millions of people. But in the age of streaming content, social media, and mobile devices, audiences are now looking for a more
Big data is creating opportunities for Communications Service Providers (CSPs) to establish new revenue streams. With big data technology, CSPs can analyze the location data generated by millions of mobile devices and use the resulting insights, along with offerings from business partners, to
Sophisticated ad targeting creates a win-win situation for both advertisers and consumers when the effective use of highly relevant messages and offers become personalized for the individual. Krishnan Parasuraman and Graeme Noseworthy from IBM explore this topic and discuss the common
Audience Measurement is experiencing dramatic change from a focus on the channel to a focus on the individual as marketers and advertisers work to understand the 360 degree view of the customer. Nancy Notaro and Graeme Noseworthy from IBM explore this topic as it relates to today's big data driven
Steve Mills, senior vice president & group executive, IBM Software & Systems Group, discusses big data and analytics with press and analysts at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to
USC Annenberg Innovation Lab is using an IBM big data solution to conduct sophisticated social media analytics and natural language recognition to gauge positive and negative opinions shared in millions of public tweets. The project has been applied to political debates, sporting events, movies and