AI assistant, cHaRlie, employs natural language processing to execute tasks specific to key human resources processes. The AI assistant is powered by IBM watsonx Orchestrate solution, a 2022 CES Innovation Award Honoree.
In the pursuit of operational efficiency, a strategic approach reigns supreme. When incorporating AI into HR management, the emphasis goes beyond mere task automation; it revolves around choosing AI solutions that seamlessly integrate with and enhance the human aspect.
According to a study by Gartner, 76% of HR leaders believe that the adoption of AI solutions is crucial for maintaining competitive operational success. IBM, a pioneer in offering unique technology solutions, offers an AI tool to improve HR efficiency with its innovative AI assistant, cHaRlie, powered by the groundbreaking IBM watsonx Orchestrate solution. In an age where hiring and managing talent have become complex tasks, cHaRlie emerges as a game-changer, streamlining HR processes and empowering professionals to focus on more meaningful work.
Orchestrate, the 2022 CES Innovation Award Honoree, employs natural language processing to execute tasks specific to key human resources processes. Whether creating job description templates, notifying hiring managers, or providing candidate lists, Orchestrate simplifies HR workflows, learning and adapting as it goes.
“Our vision, our end goal, is to make sure our event managers don’t get bogged down in very administrative, manual, redundant tasks. They really should be focusing their time and effort on building the relationship with their clients”, says Hema Nanthini SelvamTransformation Lead, HR Services, Enterprise Learning Operations and Administration IBM.
IBM watsonx Orchestrate: An AI transformation in learning event management
In dissecting tasks such as attendance tracking, they may appear deceptively simple at first glance. However, a closer examination reveals the substantial time investment required for event managers. The process involves downloading the attendee report, meticulously reviewing each row to discern entry and exit times, and then manually logging this information into the relevant tracker. Hema emphasizes that this approach is inherently non-scalable, particularly when dealing with the multitude of events managed on a monthly basis, highlighting the imperative for a more efficient and scalable solution.