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IBM Launches New Class of Analytics Software for Big Data

IBM announced new predictive analytics software that automatically correlates and analyzes big data to help clients embed hyper-intelligence into every business decision.

In addition to generating insights on internal data in a matter of seconds, the software measures the impact of social networking channels and factors this information into organizational decision making.

The software represents a new class of Decision Management capabilities that revolutionizes the way organizations gain, share and take action based on information gathered as part of business processes such as marketing, claims processing and fraud detection. In these, and other data-rich areas – where anywhere from a thousand to five billion decisions are made daily – the software will put forward the next best action to front-line employees ensuring optimal interactions and outcomes.

The new Analytical Decision Management software, part of a series of IBM Smarter Analytics initiatives, helps clients apply automated, real-time analytics into any operational data no matter where it resides, and instantly analyze it to uncover trends and expose hidden paths to growth. As a result, insights can now be automated, socialized and used for predictive decision making.

In a single platform, IBM has combined the power of business rules, predictive analytics and optimization techniques through intuitive interfaces that allow users to focus on specific business problems. The resulting decision can be consumed by existing pre-packaged or custom-built applications, including many applications on the mainframe.

The platform also takes advantage of IBM InfoSphere Streams technology where big data can be analyzed and shared in motion, providing real-time decision making in environments where thousands of decisions can be made every second.

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IBM Launches New Class of Analytics Software for Big Data

IBM announced new predictive analytics software that automatically correlates and analyzes big data to help clients embed hyper-intelligence into every business decision.

In addition to generating insights on internal data in a matter of seconds, the software measures the impact of social networking channels and factors this information into organizational decision making.

The software represents a new class of Decision Management capabilities that revolutionizes the way organizations gain, share and take action based on information gathered as part of business processes such as marketing, claims processing and fraud detection. In these, and other data-rich areas – where anywhere from a thousand to five billion decisions are made daily – the software will put forward the next best action to front-line employees ensuring optimal interactions and outcomes.

The new Analytical Decision Management software, part of a series of IBM Smarter Analytics initiatives, helps clients apply automated, real-time analytics into any operational data no matter where it resides, and instantly analyze it to uncover trends and expose hidden paths to growth. As a result, insights can now be automated, socialized and used for predictive decision making.

In a single platform, IBM has combined the power of business rules, predictive analytics and optimization techniques through intuitive interfaces that allow users to focus on specific business problems. The resulting decision can be consumed by existing pre-packaged or custom-built applications, including many applications on the mainframe.

The platform also takes advantage of IBM InfoSphere Streams technology where big data can be analyzed and shared in motion, providing real-time decision making in environments where thousands of decisions can be made every second.

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Gartner highlighted the six trends that will have a significant impact on infrastructure and operations (I&O) for 2025 ...

Since IT costs can consume a significant share of revenue ... enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars ...

Being able to access the full potential of artificial intelligence (AI) and advanced analytics has become a critical differentiator for businesses. These technologies allow for more informed decision-making, boost operational efficiency, enhance security, and reveal valuable insights hidden within massive data sets. Yet, for organizations to truly harness AI's capabilities, they must first tap into an often-overlooked asset: their mainframe data ...

The global IT skills shortage will persist, and perhaps worsen, over the next few years, carrying a collective price tag of more than $5 trillion. Organizations must search for ways to streamline their IT service management (ITSM) workflows in addition to, or even apart from, hiring more staff. Those who don't find alternative methods of ITSM efficiency will be left behind by their competitors ...

Embedding greater levels of deep learning into enterprise systems demands these deep-learning solutions to be "explainable," conveying to business users why it predicted what it predicted. This "explainability" needs to be communicated in an easy-to-understand and transparent manner to gain the comfort and confidence of users, building trust in the teams using these solutions and driving the adoption of a more responsible approach to development ...

Modern people can't spend a day without smartphones, and businesses have understood this very well! Mobile apps have become an effective channel for reaching customers. However, their distributed nature and delivery networks may cause performance problems ... Performance engineering can be a solution.

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