Oracle announced the addition of generative AI-powered capabilities to its Oracle Fusion Cloud Human Capital Management (HCM) solution to help enterprises improve human resource (HR) productivity.

The new capabilities, which are supported by the Oracle Cloud Infrastructure (OCI) generative AI service, are embedded in existing HR processes to drive faster business value, improve productivity, improve the candidate and employee experience, and streamline HR processes. It will assist businesses in streamlining their HR processes for candidates, employees, managers, and recruiters.

“With the new embedded generative AI capabilities in Oracle Cloud HCM, our customers will be able to take advantage of large language models to drastically reduce the time required to complete tasks, improve the employee experience, enhance the accuracy of workforce insights, and ultimately increase business value,” said Chris Leone, executive vice president, applications development, Oracle Cloud HCM.

Customers can use their data to refine models for their specific business needs with Oracle Cloud HCM. Having said that, each customer’s dedicated generative AI models are only tuned using the customer’s proprietary data. Oracle also stated that by giving customers control over the data used by generative AI, it is assisting in the protection of sensitive and proprietary information.

Despite significant strides in the business landscape, several HR challenges persist in enterprises, hampering their ability to create an efficient work environment for their employees, according to Deepa Param Singhal, vice president of applications, Oracle India.
“As we move forward into an increasingly digital era, our generative AI-embedded Oracle Cloud HCM will emerge as an intelligent tool that is set to elevate employee experience by equipping employees with in-built modern, intelligent tools and features that will automate mundane daily tasks,” Singhal explained.

Larry Ellison, Chairman and CTO of Oracle, announced a new generative AI cloud service with Cohere, a Canadian startup that specializes in large language models (LLMs), during the company’s Q4 2023 quarterly earnings call this month.

Such specialized LLMs, according to the company, will most likely play a significant role in the future of generative AI. “Over the next few years, many companies will train their own specialized large language models,” Ellison added.

The launch of ChatGPT in November 2022 sparked enterprise interest in generative AI, prompting service providers to develop offerings. While Microsoft, Google, Meta, Amazon Salesforce, Alibaba, and Nvidia are aggressively dominating the big AI space, other major tech firms like Adobe, Cisco Systems, Tata Consultancy Services (TCS), Infosys, Wipro, HCLTech, and Tech Mahindra, among others, have been actively sharing their plans and outlook on this opportunity.

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