Oracle has added new artificial intelligence capabilities and an enhanced user experience to its Human Capital Management Cloud, which is now available to clients.

The new enhancements include a redesigned layout, better searching capabilities, continuous performance management reporting tool, consistent cross-device appearance, goal-setting module, machine learning, smart onboarding and AI-enabled chatbots for recruiting.

The chatbots are particularly helpful for companies looking to craft a personalized candidate experience. Oracle’s AI uses behavioral targeting to better connect with a job seeker, says Chris Leone, Oracle’s senior vice president of HCM development.

Bloomberg

“Now what customers are able to do is if they want to turn this feature on, we have insight through our data cloud of the user coming to our candidate experience for the first time,” he says. “[A company] might not know you personally, but they know some of the activities [the job seeker has] done through the IP address. [An employer] can prescribe to you some things about it that might be of interest to you as part of the initial candidate experience.”

For example, if Oracle’s AI identifies a job seeker as someone who is passionate about community service, the chatbot will inform the job seeker about a company benefit like employee volunteer time off.

“We might be able to let you know about the company that might make you feel more comfortable applying for the job,” he says.

Likewise, the chatbot connects with Facebook Messenger’s open API to direct job seekers from a company’s Facebook page to the corporate job portal, where candidates can apply for the job.

The update also incorporates HR Help Desk, another subscription-based Oracle module, and advanced HCM controls such as a pre-built library of best practice controls, security dashboards and workbench capabilities help organizations stop unauthorized access to sensitive HCM functions and data.

Companies using Oracle HCM Cloud need to turn on the modules, which Leone describes as a SaaS best practice.

“We do that because customers have a change management issue for some of them, updating the user experience, they might want to roll that out over time or just decide when they want to roll it out,” he says. “We give them flexibility from an opt-in perspective.”

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