Oracle unveils next-generation cloud strategy: Intelligent applications

At the recently concluded Oracle OpenWorld in San Francisco, tech behemoth Oracle unveiled its strategy for next-generation Software as a Service (SaaS) cloud offerings that blend third-party data with analytics and behavioral inputs to create cloud applications that adapt and learn.

Thomas Kurian, president of Oracle product development, speaking during the recent Oracle OpenWorld in San Francisco

Thomas Kurian, president of Oracle product development, speaking during the recent Oracle OpenWorld in San Francisco

The result: intelligent cloud applications that automatically offer individualized recommended actions and streamline the tasks of business users such as human resource or finance professionals.

Called Adaptive Intelligent Applications, the next-generation cloud offerings are based on the insights contained within Oracle’s Data Cloud, which is a collection of more than 5 billion consumer and business profiles, with over 45,000 attributes.

When activated, the new Adaptive Intelligent Applications use Oracle’s web-scale data and apply advanced data science to learn and ingest data about an organization’s users and their behaviors to deliver targeted information to customers and employees. The insights from these deep analytics build a knowledge base that helps improve business results across organizations.

“There is a huge opportunity to monetize digital business through machine learning applications and analytics, and Oracle’s large corpus of data, strong expertise in data science, massive compute power, industry and domain expertise, and breadth of application solutions make it well-suited to be a leader in the quickly growing space,” said Ray Wang, principal analyst at Constellation Research.

Oracle Adaptive Intelligent Applications have direct benefits for functional business units, providing them with actionable business and customer insights to make more informed decisions:

• Finance professionals can nimbly negotiate best supplier terms, while optimizing cash flow needs and balancing costs – especially during critical financial events such as the end of a quarter or for a high volume of payables.

• Human resources recruiters can automatically identify best-fit candidates in the shortest time and HR managers can create job descriptions that will help candidates more efficiently find the best and most well-suited positions.

• Marketing and commerce managers can drive higher conversion rates, lift, repeat purchases, and ultimately, revenue, with smart, contextual offers and recommended actions for individual consumers.

• Supply chain managers can automatically find the best options to distribute goods around the world, while optimizing costs and price for both the buyers and the transporters to provide the best value freight and transportation options for enterprise shippers.

“Within the foreseeable future, every enterprise application will be a smart application that intuitively learns from interactions with an enterprise’s data. Oracle’s new Adaptive Intelligent solutions take this value proposition a step further,” said Dave Schubmehl, research director of cognitive systems and content analytics for IDC.

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