Baby Got Bot: How AI, Machine Learning, and Data Analytics Are Becoming the Newest Member of Your Hiring Team
While AI is at the top of everyone’s mind - how to use it, and how to use it well (and legally) are the real questions talent leaders are grappling with. Practical uses and transformative ideas are not generated by the latest talent technologies, but rather by the feet-on-the-street recruiting teams.
Grace Niwa, Vice President, Global Talent Acquisition, Talent Intelligence & Early Career at Vertex Pharmaceuticals, joined to help us understand how to use data science, automation, AI, and machine learning within your TA teams. We covered:
How to combine new school and old school data to solve in-the-moment problems with practical solutions
How to slice your hiring data from different angles to reveal insights that may have been overlooked before in your processes
How to see opportunities for step-up improvement and how to get started
Global Talent Acquisition, Talent Intelligence & Early Career
Prior to entering search, I spent 12 years as Founder & Principal of NIwa PR, a public relations and marketing agency for multinational corporations, institutions and nonprofit organizations including Wells Fargo, AARP, Anheuser-Busch Inbev, GlaxoSmithKline, AsianWeek Foundation, Stanford University, San Francisco-Shanghai Sister City Committee, International Media Distribution, White House Initiative For Asian Americans and Pacific Islanders, Asia Society & Museum, and Korea’s Ministry of Food, Agriculture, Forestry and Fisheries.
A former concert pianist, I received a Bachelor’s degree from the University of Toronto and a Master of Music degree from The Juilliard School. I made my New York debut at Carnegie Hall in 1996 and have made solo, orchestra and chamber music performances in Toronto, Ottawa, Montreal, Seoul, Pusan and New York City.