IBM Updates Data Management Solutions

IBM has expanded is offerings of software-defined infrastructure solutions with cognitive features to help clients improve computer research management.

The new intelligent resource and workload management software, called IBM Spectrum Computing is designed to make it easier for organizations to extract full value from data to accelerate performance-intensive analytics or machine learning, a company press release states. IBM states the Spectrum Computing portfolio is comprised of three new products:

• IBM Spectrum Conductor works with cloud applications and open source frameworks, speeding time to results by enabling increasingly complex applications to share resources, all while protecting and managing data throughout its lifecycle.
• IBM Spectrum Conductor with Spark simplifies the adoption of Apache Spark, an open source big data analytics framework, while delivering up to 60 percent faster analytical results.
• IBM Spectrum LSF  is a comprehensive workload management software featuring flexible and easy to use interfaces to help organizations accelerate research and design by up to 150 times while controlling costs through advanced resource sharing and improved utilization.

“Data is being generated at tremendous rates unlike ever before, and its explosive growth is outstripping human capacity to understand it, and mine it for business insights,” said Bernard Spang, vice president, IBM Software Defined Infrastructure. “At the core of the cognitive infrastructure is the need for high performance analytics of both structured and unstructured data. IBM Spectrum Computing is helping organizations more rapidly adopt new technologies and achieve greater, more predictable performance.”

For more information, visit IBM.

Sources: Press materials received from the company and additional information gleaned from the company’s website.