Expertise Location | Talent Networks

Open Innovation Prospectus

According to McKinsey & Company, most enterprises need a new approach to finding their elusive subject matter experts. Companies carefully track hard assets -- such as inventory and cash -- but they typically depend on serendipity to tap the expertise of their employee assets. Now a growing number of companies are devising systems to find and apply their unique human capital resources; skilled and experienced high-performance practitioners that have a proven track record of Open Innovation. They seek change agents for Digital Business Growth strategies, utilizing Agile methodologies and a Design Thinking approach.

A Quest for Subject Matter Experts

Verified expertise can be surprisingly difficult to find, even in companies that have invested millions of dollars to attract and retain it. Traditional methods, such as document repositories and static directories, are inadequate because expertise, unlike other assets, depends on the context -- making it difficult to describe and classify.

By mining the details of the current and past work experience of employees -- what skills they've mastered, what prior projects they participated in, what papers or editorials they authored, what they studied or researched in school -- new expertise-location systems can solve the context problem and help companies find the highly-skilled talent they already have within their ranks.

GeoNetworker is a research initiative founded to envision the development of open and secure Enterprise Talent Networking solutions that will enable dynamic resource discovery and personal introductions that ultimately result in new skills attainment and related knowledge transfer.

Our goal is to energize relationship links between an organization's expert human capital, trustworthy external business contacts, and associated tacit intellectual property assets via enterprise social networking platforms and evolving capabilities of artificial intelligence (machine learning, deep learning, generative AI, and other forms of data science tools).

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