IBM: Big Data, Analytics to Drive $20B in Revenue by 2015
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IBM upped its 2015 revenue target for big data analytics from $16 billion to $20 billion.
Also, in reinventing the IBM enterprise, IBM applied analytics to manage risk, drive efficiency, and increase marketing effectiveness. Big Blue also used social technologies to match IBM experts in high-value client engagements -- on target to achieve its goal of $8 billion in productivity savings over the 2015 Road Map, with 60 percent of these savings reinvested in the business. With the new era of computing IBM has seen and been intimately involved in enterprise computing’s move from monolithic applications to dynamic services, from structured data to unstructured data in motion, from standard client devices to an unprecedented number and variety of devices, from stable workloads to unpredictable workloads, from static infrastructure to cloud services, and from proprietary standards to open standards. Also for its part, IBM said its Smarter Computing initiative is designed for big data. As data grows in volume, velocity and variety it can revolutionize clients' decision making, IBM said. IBM's analytics business is growing strongly – with its new target of $20 billion by 2015. And it is rapidly advancing the marketplace applications of Watson's cognitive computing capabilities. The first commercial offering of Watson was announced in the first half of 2013. In addition IBM Smarter Computing is built on software-defined environments. Cloud computing, which grew 80 percent at IBM last year, is the first manifestation, but software defined environments are bigger than cloud, able to adapt to constantly changing workloads and demands. And unbeknownst to many, IBM hardware such as System z, Power, Pure Systems and storage systems are all software-defined, IBM said. Moreover, Smarter Computing is open. IBM supports such open platforms as Linux, Eclipse and Apache and is involved with open efforts such as OpenStack, Hadoop and new cores.
