In today's dynamic business landscape, organizations across various industries are grappling with many challenges that hamper their efficiency, productivity, and their ability to deliver exceptional customer service. These challenges range from data management and decision-making to workflow automation and regulatory compliance. These are complex issues that require intelligent, scalable, and flexible solutions. This is where generative AI, and more specifically, the IBM watsonx platform, can help. By applying generative AI, organizations are able to improve their efficiency, productivity, decision-making, and customer service.
This article (and the accompanying tutorial) provides a guideline for creating and executing a sample generative AI-driven automation case study within the talent acquisition process. The scenario uses the capabilities of the IBM watsonxplatform, including watsonx.ai, watsonx.data, and watsonx Assistant. The article explains the difficulties that are associated with generative AI, and presents a solution that uses IBM watsonx. It uses a fictitious organization to show how a business might intelligently automate segments of its talent acquisition process (profile screening, assessment, and onboarding) by using IBM watsonx technology.
Refer to the full article here.
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Nick Plowden
Community Engagement
IBM
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