Using Machine Learning in Software License Discovery for Greater SAM Maturity

Presented by

Bill Dyck and Nick Rendall, Micro Focus

About this talk

Accurate software asset management (SAM) is critical to a company’s IT operations in order to optimize usage and cost, and ensure that license compliance is achieved to avoid true-ups and penalties. Keeping a company’s software application library up-to-date for SAM has been a continuous struggle for asset managers given the time it takes for manual entry of new titles, the changing information in software titles, and the sheer number of titles across an enterprise organization. Every software title not recognized in their library causes potential license compliance breaches (leading to true-ups and potential fines) and reduces an organization’s ability to optimize their software license usage for cost optimization. Micro Focus has added the industry leading IDOL unstructured search engine to add machine learning to Universal Discovery, drastically improving in the process of software license recognition and teaching for quicker software license recognition and a consistently up-to-date SAI over time. Join us for an introduction to this exciting new capability and to understand the business value it can bring to your SAM program. • Introduction to machine learning and the IDOL engine • Machine learning in Universal Discovery • Current SAM with Machine Learning Success Stories • Live Q&A about this new technology
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