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Oracle Infuses Its Cloud Applications With Artificial Intelligence

Tuesday, 06 February 2018, 11:37 Hrs

Oracle announced new artificial intelligence-based apps for finance, human resources, supply chain, manufacturing, commerce, customer service, marketing, and sales professionals. The new Oracle Adaptive Intelligent Apps are built into the existing Oracle Cloud Applications to deliver the industry’s most powerful AI-based modern business applications.

“The new Adaptive Intelligent Apps enable business users from across the organizations to quickly and easily take advantage of the latest advancements in artificial intelligence,” said Steve Miranda, Executive Vice President of Applications Development, Oracle. “To make this possible we have eliminated the need for more integrations and embedded AI capabilities across Oracle Cloud Applications. The new AI capabilities combine first- and third-party data with advanced machine learning and sophisticated decision science to deliver the industry’s most powerful AI-based modern business applications.”

Adaptive Intelligent Apps are powered by insights from the Oracle Data Cloud, which is the largest third-party data marketplace in the world with a collection of more than 5 billion global consumer and business IDs and more than 7.5 trillion data points collected monthly. By applying advanced data science and machine learning to Oracle’s web-scale data and an organization’s own data, the new Adaptive Intelligent Apps can react, learn, and adapt in real time based on historical and dynamic customer data. These capabilities make the decision-making process simpler and more efficient for business professionals across the organization.

  • Finance and Procurement Professionals: New AI-powered capabilities help streamline financial processes and technology requirements, reduce costs, modernize operations, and enhance collaboration. By analyzing historical trends and business risk data, finance and procurement professionals can derive suggested discount rates on invoices, optimize cash flow, and create the optimal balance between buyers and suppliers.
  • Human Resources Professionals:  By applying natural language search and deep learning technologies to resumes and job postings, HR professionals are able to find and source the best candidates. They also can determine the likelihood of success and longevity by using insights from previous recruitment engagements and current job indicators, such as sales achievement or performance ratings.
  • Supply Chain Professionals:  The capabilities in Oracle’s Supply Chain IoT applications allow supply chain professionals to manage and leverage insights from big data sources, such as connected equipment. The applications use predictive analytics and machine learning techniques to detect and analyze key signals in device data, and then to act on these insights through their associated business functions and connected processes.
  • Manufacturing Professionals: New AI-powered capabilities enable factory and shop floor improvements by demonstrating how incident detection, root cause analysis, and smart resolution are performed within minutes in a connected factory.
  • Commerce Professionals: New AI-powered capabilities provide unique features, such as dynamic tags and category pages that personalize search suggestions and blend search results with real-time offers to enable friction-free search. In addition, machine-learning capabilities deliver the best product, promotion, and content recommendations.
  • Customer Service Professionals: New AI-powered capabilities empower customer service professionals to streamline processes and enhance the customer experience by utilizing consumer data and relevant news alerts. In addition to optimizing process around frequently asked questions, the new AI capabilities help reduce the time between request and resolution across thousands of potential questions and associated answers by leveraging deep learning technologies.
  • Marketing Professionals: New AI-powered capabilities empower marketers with the insights needed to better understand their target audiences and optimize offers by utilizing consumer and business data. By looking across different marketing campaigns to gauge individual, group and program response rates, the new capabilities enable marketers to identify how audiences are interacting with content and the optimal pathways for future communication.
  • Sales Professionals: New AI-powered capabilities utilize business data to empower sales professionals with accurate next-step recommendations to close deals and optimize sales offers. The new capabilities also prompt them with smart call points by pulling data from live news and event feeds to surface and prioritize key insights. 

“The market opportunity for artificial intelligence and AI-enabled applications is substantial," says David Schubmehl, Research Director, Cognitive/Artificial Intelligence Systems at IDC. "We expect this to be a rapidly expanding area for both enterprise and commercial development as organizations race to embed predictive and prescriptive capabilities into their applications portfolio to deliver smarter software solutions to customers. The success of these solutions greatly depends on the quality and quantity of the ingested data which determines the resulting recommendation, action, or output delivered. Vendors with a strong foundation of first and third-party data to fuel the machine learning have a clear and distinct advantage in the market providing strong targeted AI-enabled solutions for their customers.”