It’s striking the difference a year makes. The big story from OpenWorld 2016 was about who would win the AI battle: Oracle or Salesforce. At OpenWorld 2017, AI still dominated the headlines, but this time Oracle was the center of attention. As Doug Henschen, analyst at Constellation Research, told SiliconAngle, “[Oracle] may have a headstart on software-as-a-service rival Salesforce.com Inc., whose Einstein AI capability is focused mostly on customer experience applications.”
Journalists published several articles on Oracle’s AI apps during and after OpenWorld (scroll down for a complete list). These articles include the journalists’ perspectives, as well as updates on our product portfolio and strategy. Here’s a quick summary:
Broader AI footprint
During OpenWorld 2017, we unveiled new Adaptive Intelligent Apps for finance, human resources, supply chain, manufacturing, commerce, customer service, marketing, and sales professionals. These artificial intelligence-based apps apply pre-built data science to generate predictive outcomes or recommendations in our cloud applications. Examples include product and promotion recommendations in marketing and commerce, next best action in sales, automated responses in service, best supplier terms and discounts in finance, and demand sensing and supplier pricing in supply chain. Just recently, we announced the availability of our first AI solution, Adaptive Intelligent Offers (AI Offers). You’ll find links to sales support materials in my previous post.
According to IDC’s David Schubmehl in Internet of Business, “Vendors with a strong foundation of first- and third-party data to fuel machine learning have a clear and distinct advantage in the market, providing strong, targeted AI-enabled solutions for their customers.” By using Oracle Data Cloud—with more than five billion consumer and business profiles—and other licensed, third-party, B2B data sources, we can train our AI solutions to make better decisions because they have more data to make those decisions against.
Another advantage is that data is shared among the Adaptive Intelligent Apps. So, insight from one area becomes input for another. For example, the recommendation for the next best action a salesperson should take in selling to a B2B customer can factor in insights, such as the current support experience for that account. In this way, we’re amplifying the value of individual AI apps by creating a connected intelligence layer across the portfolio.
External coverage of Oracle Adaptive Intelligent Apps following OpenWorld 2017: