Big Data

IBM Storage webcasts: Mastering modern data demands

Flash storage, Integrated infrastructure, Software-defined storage...

Demands on IT are making it harder for businesses to reach their goals and outperform the competition in today’s data-driven world. We’re in a time of what seems to be never-ending change. Just when you think you’ve got a handle on things, shifting technology can lead to hesitation instead of innovation. Nobody will deny that, more

Intelligent infrastructure for the cognitive era at IBM Edge 2016

Organizations spanning industry sectors are rushing to embrace the transformative power of cognitive computing. It enables them to gain valuable insights that can lead to advanced outcomes—everything from outthinking the competition to giving society the ability to solve our most pressing problems. For example, Coca-Cola Bottling Co. Consolidated (CCBCC) uses cognitive technology to improve the more

DeepFlash for deeper insights

Flash storage, Hybrid cloud storage, Storage

After you peel away all of the less-crucial layers, enterprise storage becomes relatively simple–it’s all about business use cases, applications and workloads. Storage that helps you maximize the performance of your particular business while doing the best job of meeting your unique application or workload requirements is the right storage for you. DeepFlash 150 deserves more

IBM DeepFlash 150: Accelerating big data opportunities

Flash storage, Storage, Workload & resource optimization

Data comes from everywhere: chatter from social networks, telemetry from the Internet of Things, streaming television episodes, online shopping transactions, and the list goes on. As this data flow increases in volume, velocity, and variety, it becomes “big data,” and it offers business transformation potential. Analyzing big data helps enterprises to make better business decisions more

Serving Wimbledon fans worldwide with IBM systems

Real-time analytics

Not every tennis fan can attend Wimbledon in person, but The Championships’ partnership with IBM provide the next-best thing by delivering a highly immersive experience to fans worldwide—in near real time. IBM is improving the fan and media experience at the Wimbledon Fortnight this year using the same solutions that it uses to transform organizations more

Amp up your Spark: three keys to successful deployment

Integrated infrastructure, Storage, Workload & resource optimization

Today, the advantages of an integrated nationwide electricity infrastructure are obvious.  But in the early days of electrical power in the late 1800s, electricity was available only through small, isolated networks.  AC and DC grids competed with one another. This mishmash of isolated systems was costly, inefficient and inflexible. Now IT directors are often faced more

All-flash innovation part II: Cognitive business

Flash storage, Software-defined storage, Storage...

For more than half a century, information technology (IT) has helped businesses function with ever-increasing efficiency, speed and intelligence. Going forward, successful companies will be “cognitive businesses”—those able to most effectively exploit sophisticated IT foundations and the explosion of data to more effectively power and improve their revenue and profit bases. IBM is leading the more

Disruptive trends in customer centricity with IBM ODM Advanced

Part 2 – Towards Cognitive, Proactive, Real-time and Contextual Customer Centricity In Part 1 of this two-part series, I highlighted the importance of customer centricity in a highly competitive market where businesses are striving to follow more customer-centric approaches to attract customers. I also discussed contextual and real-time customer centricity. I talked about how I more

Optimized, integrated systems for Spark and Hadoop

OpenPOWER, Power servers, Power Systems

As medium and large-enterprise clients look to expand their business insights by applying analytics to big data, they require a cost-effective, high-performing, resilient and secure infrastructure. These businesses are taking various approaches to organizing their structured and unstructured big data for analytics, including the following: Offloading their historical operational data from a data warehouse to more