E10 Ben Taylor, Co-Founder and Chief AI Officer at Ziff AI

Welcome to episode ten of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.

Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.

Today’s guest on the show is Ben Taylor, co-founder and Chief Data Officer at Ziff AI. Ben’s mission is to further the boundaries of what is possible with data science. His current project combines the power of genetic programming with deep learning to automate network design and he believes human expertise and creativity are being replaced by powerful new methods.

Ben is best known for my machine learning work with the data science community and with HireVue. Ben was Hirevue’s first data scientist and was able to partner with engineering to build out one of the first video interview prediction engines called HireVue Insights. It has since seen fantastic use cases and growth where large Fortune companies are dramatically reducing time to hire from six weeks to just six days.

In this episode, Ben will tell you about:

  • How Ben got involved in data science and the work he does at Ziff AI
  • How AI and Data Science can help improve your business
  • Advice to data scientists and companies on how to add the most value
  • How to influence data science within your organization
  • Where the future of AI and Data Science is heading in the near future
  • Creating a discussion on AI Ethics



If you would like to learn more about Ben and the work at Ziff AI, head over to www.ziff.ai and you can also connect with him on Linkedin.

What were your key learns from David’s podcast? What takeaways did you gain from the show to help in your Data Science aspirations? I would love to hear your thoughts so please leave a comment below.

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