Oracle unveils its new cloud strategy of ‘Intelligent Applications’

R “Ray” Wang, principal analyst at Constellation Research

Building on its position as the Cloud Applications provider, Oracle unveiled its strategy for next generation Software as a Service (SaaS) Cloud offerings that blend third-party data with real-time analytics and behavioral inputs to create Cloud Applications that adapt and learn.

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

Called Adaptive Intelligent Applications, these 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, these new Adaptive Intelligent Applications use Oracle’s web-scale data and apply advanced data science to learn and ingest data about an organisation’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 organisations.

R “Ray” Wang, principal analyst at Constellation Research said: “There is a huge opportunity to monetise 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.”

Steve Miranda, Oracle’s executive vice president of applications development
Steve Miranda, Oracle’s executive vice president of applications development

“A company’s data is its most valuable weapon. To remain competitive today, companies must access their information in real time to intelligently forecast and grow,” said Steve Miranda, Oracle’s executive vice president of applications development. “Oracle Adaptive Intelligent Applications leverage anonymised information from our extensive Data Cloud to optimise existing Cloud Application functionality. When this is combined with a company’s own data, we are able to provide unparalleled customised insights to help enhance business performance.

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 optimising 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 optimising costs and price for both the buyers and the transporters to provide the best value freight and transportation options for enterprise shippers.
Dave Schubmehl, research director of cognitive systems and content analytics for IDC
Dave Schubmehl, research director of cognitive systems and content analytics for IDC

“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. They are set apart from others by allowing the intelligent applications to learn from billions of anonymised consumer and business profiles available from Oracle.” said Dave Schubmehl, research director of cognitive systems and content analytics for IDC.

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