• On March 14, Oracle announced that generative AI features were added across its corporate software lineup, aiming to compete with other tech companies.
  • The generative AI features of Oracle are different from regular ones.

OUR TAKE:
This move by Oracle to incorporate generative intelligence features into its financial services shows its commitment to staying competitive in the market. By investing in AI technologies and collaborating with tech industry experts, they aim to enhance productivity and save time for employees. It will be interesting to see how these new features perform and contribute to Oracle’s growth in the computing market.
— Iris Deng, BTW reporter

Oracle adds generative AI features to increase production, intensifying competition with dominant tech companies like Microsoft.

Oracle adds generative AI to save time for employees, increasing productivity

In order to intensify competition with Microsoft and other technology firms in selling their technology to business customers, Oracle is incorporating generative intelligence features into its financial services. The Texas-based company stated that these new features are aimed at saving time for employees by automatically generating reports, summarizing complex data, and drafting job descriptions.

As a newcomer in the computing market, integrating generative AI features into its financial services is crucial for Oracle to compete with software rivals such as Microsoft. Oracle has spared no effort, investing billions of dollars in Nvidia chips and collaborating with Cohere, an AI company founded by a former Google employee.

Also read: Apple set to unveil generative AI innovations later this year

Oracle’s generative AI tech works with manual inspection

Unlike ChatGPT, where users directly input requests to a chatbot, Oracle’s AI system has been specifically tuned to handle particular tasks. In all cases, human employees will review the generated outcomes.

Steve Miranda, the executive vice president of applications development at Oracle, mentioned that this approach can effectively avoid some of the pitfalls of current AI technologies, such as generating inaccurate information, while also enhancing productivity.

“We believe we have a wide range of use cases that we have swiftly brought to market. This will provide us with valuable feedback, but it is being carried out in a controlled manner to mitigate potential issues,” said Miranda.