AI and machine learning for team assembly – Sourcing for Innovation: Ep. 10

Sourcing for Innovation

Put our talent to work

In 2000, Catalyte’s founder and executive chairman Michael Rosenbaum was a Harvard economics and law fellow. As an advisor in the Clinton White House, he proposed the theory that underserved urban populations were untapped labor markets. In his view, these areas contained just as many people with the talent to succeed in the emerging field of software development as any other. But, they were overlooked by a system that valued certain cultural markers rather than innate ability.

To prove this point, Michael founded Catalyte and created its technology that removes the cultural biases from hiring and objectively selects candidates who have the innate potential to become top performers.

We talked with Michael about his initial idea, why he founded Catalyte and how AI and machine learning can be used in skills-based hiring to create better business outcomes.

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