IBM Announces a New Software Portfolio to Improve Business Performance

IBM (News - Alert) announced a broad portfolio of software which uses analytics to provide greater visibility and integration between the applications that run on an IT infrastructure and key business processes. This new software will allow clients to make more intelligent, automated business decisions and help them embrace cloud computing.

In a press release, Robert LeBlanc, IBM senior vice president of Middleware Software, said, “Predictive analytics can tame IT infrastructure in much the same way it's taming big data. This new software adds intelligence to IT and business processes by basically creating a road map showing the fastest connection between a business and its IT infrastructure. It automatically avoids potholes to ensure the best outcome, which is critical as the market continues to embrace cloud computing.”

This software helps in business decision management, predictive business service management and integration. With the help of IBM software, Bolsa de Comercio de Santiago, a large stock exchange in Chile, is now able to process high-volume trading in microseconds, increasing their transaction capacity by 900 percent.

By improving the speed that its system operates and applying analytics, the company significantly improved order routing, giving its traders visibility into business activity in real time. The stock exchange system does all the work of analyzing current and past transactions and market information, learning and adapting to market trends and connecting its traders to business information in real time. Ultra-fast throughput in combination with analytics now allows traders to make more accurate, predictive decisions.

IBM was recently in the news when it agreed to acquire Platform Computing (News - Alert), a provider of cluster and grid management software for distributed computing environments. Platform Computing's management software helps clients create, integrate and manage shared computing environments that are used in resource-intensive applications such as simulations, computer modelling and analytics.

Sujata Garud is a TMCnet freelancer with three years of writing/editing experience and two years of market research experience. As an editor she has covered the IT, electronics, banking, pharma, construction, mining and healthcare industries. To see more of her articles, please visit her columnist page.

Edited by Jennifer Russell