Oracle’s AI strategy is to make AI pervasive across its SaaS applications and technology products, while also giving those customers who prefer to build their own AI Apps the ability to do so. Oracle’s AI offering is unique in the market and designed to suit the needs of any organization.
Apply artificial intelligence into your business for your most important business scenarios. Oracle Cloud Infrastructure Data Science provides the tools, infrastructure, and pretrained models you need to build bespoke AI solutions that are tailored to your business context.
Incorporate AI into your everyday workflows seamlessly through prebuilt, intelligent AI Apps features embedded inside Oracle SaaS applications for Financials, Recruitment, Procurement, Sales, and Service.
AI capabilities are being delivered across both front- and back-office cloud solutions so that customers can reap the benefits throughout their organization from within their favorite Oracle software. Oracle’s embedded AI Apps enhance our customers’ data foundation, automating routine tasks and surfacing recommended actions so users can optimize their workflows.
Underpinning the development of these features is Oracle’s AI framework. This infrastructure enables Oracle product teams to build enterprise-grade AI capabilities at scale, high velocity, and to best practices. With AI, the challenge is not necessarily in the creation of an AI-powered model; it’s in the productionization of the solution so it can be delivered at scale, at an acceptable cost, and in a realistic timeframe.
Oracle is increasing its AI footprint across the key business pillars (ERP, HCM, CX, and SCM). AI features are now embedded directly into SaaS applications in all of these pillars. Oracle also offers a high degree of flexibility when it comes to how customers can obtain these features. Some are being provided out of the box to all users, some are provided out of the box to our Enterprise/Premium SaaS customers, and some are being delivered as separate, chargeable features.
The number of customers actively using AI has increased significantly as Oracle’s AI delivery model has matured. This is accelerating customer adoption and the amount of learning and feedback generated which, in turn, helps Oracle hone and improve its AI capabilities and understand the most urgent use cases. Customer feedback also provides real-world confirmation on the business performance improvements being realized from AI.
Oracle is unpacking key processes in Sales, Marketing, Service, and Commerce to identify how AI can be used to improve business performance right across CX in a practical manner. For example, in Service, Oracle is working with a multinational manufacturer, using AI to provide service agents with suggested, in-the-moment resolutions for new customer queries, directly in their service platform. In Sales, Oracle is working with a leading property technology provider to use AI to rank new business leads and sales opportunities as well as provide recommended actions for the sales team to close more deals.
The development of embedded AI features in Oracle Cloud ERP follows a similar strategy to that of other Oracle Cloud pillars, in that careful consideration is given to key business processes to determine where it makes sense to leverage AI to augment the skills of the workforce and improve overall business performance. AI capability maps are created to examine specific tasks within payables, receivables, expenses, supplier management, and other functions to show how AI can play an important role in optimizing each business process.
For example, within Payables, AI can help automate several key tasks to help businesses progress toward the ultimate goal of a “touchless back office,” and a “continuous close capability.” While those may be ambitious goals, Oracle developers also look for AI features that will provide immediate impact within a business process, such as automatically defaulting values within invoice processing or detecting duplicate transactions within receivables.
In HCM, Oracle is looking at holistic ways to improve business performance through the development of smart data assets and AI capabilities to help HR professionals optimize use of their resources and increase their strategic contribution to the business. One area of focus has been skills. Assessing, managing, and utilizing skills has been one of the most challenging issues facing organizations today. Which is why Oracle focused its AI applications efforts in HCM on connecting skilled individuals with jobs and opportunities to make it easy for companies to find and deploy talent. The result is Oracle Dynamic Skills, a major new solution delivering three complimentary components:
In addition, there are several initiatives underway to bring the rich organizational knowledge available in Dynamic Skills to additional Oracle technologies, such as Strategic Workforce Planning, Business Intelligence, Analytics, and elastic search. These will further leverage Dynamic Skills as organizations increasingly look to technology to provide greater insight into the state of their organization and where it is heading.
Another key part of Oracle’s strategy is to make its SaaS applications more intuitive to use. Traditionally, enterprise software has been one size fits all, with uniform navigation for all users. Recent years have changed all that. We now expect personalized content with a much more tailored user experience. Oracle is bringing this experience to enterprise software with intelligent UX.
Intelligent UX is harnessing data on a user’s role and working patterns, and using AI, provides personalized recommendations relevant to their workflow and daily tasks. These AI-powered capabilities encourage timely and efficient actions and choices which deliver more effective results by improving focus and accuracy, making business software a more intuitive and pleasurable experience for your staff.
Oracle’s AI Apps Innovators Program provides an opportunity for customers to work directly with our AI product managers, developers, and data scientists as we develop new AI features. Customers who are part of the program provide input on AI feature development and get early access to these features for evaluation before they become generally available. Oracle benefits through this customer involvement as it enables us to accelerate the development of new AI features and increase the cadence of AI feature delivery. Customers are able to learn more about how AI can work in their organizations and maximize the value of their Oracle Cloud investment.
Oracle will continue to embed more features across its SaaS portfolio to bring performance improvements to its customers across all key business functions (both front- and back-office) through the business software they use every day. By building, testing, validating, and preintegrating our AI solutions, we are building a fully functional AI and machine learning pipeline capability so that our customers can reap significant business benefits—without a dedicated investment in capital and resources.