Oracle Advances Emerging Tech with Latest Innovations


Customers build the next big thing with Oracle AI, Blockchain, and Digital Assistants

Providing organizations with the transformational tools they need to embrace innovation, Oracle has announced continued advancements in emerging technologies across Oracle Cloud, including artificial intelligence (AI), machine learning, blockchain, IoT, and human interfaces.

Oracle’s strategy is to make emerging technologies pervasive throughout its cloud offerings. To help customers more easily take advantage of these technologies as part of their digital transformation, Oracle has embedded innovative technologies into its business applications and extended these new capabilities into the platform so customers can build upon them. Additionally, Oracle Cloud Infrastructure serves as the foundational enabler for Oracle’s AI and Autonomous capabilities.

“The real opportunity with emerging technologies is enabling our customers to embrace innovation on a scale we’ve never seen before,” said Amit Zavery, executive vice president, Oracle Cloud Platform. “Oracle’s technologies provide the building blocks for customers to pioneer new innovations, create new opportunities, and drive amazing breakthroughs.”

Machine learning and advanced AI are woven into Oracle Cloud services. For example, Oracle CX applications include built-in AI tools that better predict account health, deliver next-best service actions, automate answers and provide more personalized services. Oracle also embeds machine learning into its security offerings in order to help detect security threats. Most importantly, Oracle also combines machine learning with decades of database optimization to deliver the world’s first and only self-driving database.

Continued emerging tech advancements across Oracle’s portfolio include:

  • Digital Assistant for Personalized Interactions: The next evolution of Oracle’s chatbot functionality, Oracle Digital Assistant enables companies to build personalized digital assistants to help employees work smarter and more productively. With this technology, employees can leverage one comprehensive digital assistant that can be trained to support domain skills from multiple applications such as HR, ERP, CRM and CX. Leveraging AI, Oracle Digital Assistant understands context, derives intent, and identifies and learns user behaviors and patterns to automate routine tasks proactively, such as expense approvals and meeting reschedules, on behalf of the user.
  • Blockchain for Supply Chain Applications: Recently launched, Oracle Blockchain has already seen global adoption spanning multiple industries. Now, Oracle is expanding its blockchain service offering to include new business applications built on its own blockchain development platform to support new use cases, such as track and trace for supply chain and logistics. New Oracle Blockchain Applications enhance traceability and transparency throughout the supply chain and include Intelligent Track and Trace, Lot Lineage and Provenance, Intelligent Cold Chain, and Warranty and Usage Tracking.
  • Automation for Security Services: Oracle offers new cloud security services that use machine learning and intelligent automation to help prevent, detect, and respond to security threats. The new cloud services include a Web Application Firewall (WAF) to help protect against attacks on web traffic; Distributed Denial-of-Service (DDoS) protection to stop outside parties from disrupting running applications; an integrated Cloud Access Security Broker (CASB) which monitors and enforces secure configurations; and a Key Management Service (KMS) that allows customers to control the encryption of their data.
  • Intelligent Apps with Built-in AI: To help enable faster and easier adoption, Oracle Cloud Applications weave AI features seamlessly into the existing tasks and processes to reduce the learning curve for end users. For example, the applications send users subtle cues—slide outs and alerts—to let them know about new AI features within the familiar user interface of the application. New interaction models, such as voice recognition and chat bots, are built into applications to create a more intuitive and personalized user experience