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IBM acquires Vivisimo, a leading provider of federated discovery and navigation software that helps organizations access and analyze big data across the enterprise. 

Vivisimo software excels in capturing and delivering quality information across the broadest range of data sources, no matter what format it is, or where it resides.

 
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IBM acquires Varicent Software Incorporated, a leading provider of analytics software for compensation and sales performance management. Varicent is a privately held company, with headquarters in Toronto, Canada. Financial terms were not disclosed.

 
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IBM Watson combined with MSKCC’s clinical knowledge will help physicians access and integrate latest science and knowledge

 
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IBM today announced new consulting services and software that take the power of predictive analytics to new levels of impact for the highest-priority issues of C-suite decision makers. The new analytic offerings address the emerging opportunities of big data to manage financial operations, decrease fraud and nurture next-generation customer relationships.

 
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 Technology partnership delivers powerful big data tools for enterprises

 
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Oracle Database 11g Release 2 (R2) and Oracle Fusion Middleware 11g Release 1 (R1) will be available on Red Hat Enterprise Linux 6 (RHEL6) and Oracle Linux 6 with the Red Hat Compatible Kernel in 90 days.

Oracle offers direct Linux support to customers running RHEL6, Oracle Linux 6, or a combination of both maintaining compatibility with Red Hat Linux.

Effective immediately, Oracle will provide its Red Hat compatible Linux binaries, updates and errata for free https://public-yum.oracle.com. Terms, conditions and restrictions apply.

The Unbreakable Enterprise Kernel is Oracle’s fast, modern, reliable Linux kernel that is optimized for Oracle software and hardware.

Oracle Linux 6 with the Unbreakable Enterprise Kernel is optimized for running Oracle products.

 
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Adds Leading Cloud-based Clinical Trial Operations and Analytics Applications to Oracle Health Sciences Suite

 
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Percentage of companies innovating with cloud expected to double by 2015

The number of enterprises turning to cloud computing to revamp existing business models will more than double in the next three years, as business leaders move to capitalize on the rapid availability of data and the growing popularity of social media, according to a new study released today by IBM. Businesses that embrace the transformative power of cloud will have a significant advantage in the race to introduce new products and services and capture new markets and revenue streams. 

To better understand the shift in how organizations use cloud today and how they plan to employ it in the future IBM, in conjunction with the Economist Intelligence Unit, surveyed more than 500 business and technology executives worldwide. The findings were compiled in a new study, titled "The Power of Cloud: Driving business model innovation." 

“Companies are starting to understand -- cloud isn’t just about gaining efficiencies and cost savings; it’s about driving the kind of fundamental innovation that provides lasting marketplace advantage,” said Saul Berman, IBM global strategy consulting leader and co-author of the study.  

 

 
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Study finds nearly 90 percent of businesses are moving beyond virtualization 
New IBM SmartCloud software advances visibility, control and automation across cloud and traditional environments 
IBM extends secure cloud management to Mobile devices and physical assets

 
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Automatic Leak Detection, Pressure Management Aims to Reduce Water Loss

IBM Research scientists and the Sonoma County Water Agency (SCWA), which supplies water to more than 600,000 people in the heart of Northern California’s wine country, have once again teamed up to address the pressing problem of water conservation. 

The new program, which builds on an existing IBM-SCWA water management collaboration, uses analytics technology to helpValley of the Moon Water District (VOMWD), a purchaser of wholesale water from SCWA, to reduce water loss. This is done by optimizing the setting of the pressure reducing valves at the entrance to their distribution network based on data from existing sensors as well as from SCADA, billing, pressure gauges, and flow loggers throughout the water system.