Leveraging AI for skills inference

Employee experience is critical for continuous innovation. It enables companies to compete in industries that are continuously being disrupted. #1 area that CEOs state as impeding their ability to move forward is "people", however only 41% companies say they have the right talent and skills to achieve their business strategy. According to Jim Swanson, J&J's Enterprise CIO, since the future is uncertain, it's critical to be adaptable and talent needs to be future-ready.

full replay available at: https://ibm.app.swapcard.com/event/think21/planning/UGxhbm5pbmdfNDMxNjE2

Johnson & Johnson partnered with our AI Services and Talent Transformation Services teams to take a very methodical approach to skills and talent strategy to be future-ready.

IBM's AI services leverages its Content Intelligence assets to mine the digital footprint generated by employees as they interact with applications/tools like Jira, Workday etc. We then combine it with de-identified external skills data to run through the IBM Expertise Inference Engine.

Skills Inference leverages IBM Services' Content Intelligence assets to ingest employee documents in a hybrid cloud environment. Using advanced natural language processing, Skills Inference extracts semantic information about employee skills and expertise, translating raw unstructured text into structured input. IBM Services brings a catalog of pre-trained skills ontology and quickly adapts it to the client business. This input fuels our AI / ML models, which combine supervised and unsupervised deep learning techniques to uncover patterns in employee profiles. The result is a robust view of employee proficiency across a range of skills and competencies.

For a further discussion on AI powered skills inference, please reach out to Rachel Cohen (AI & Analytics) and Mark Daniels (Talent Transformation)