Future of AI Roles

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We hear a lot about the massive talent gap for technical roles, with data scientists being one of those roles. But according to a recent report, Gartner says that by 2025 there will no longer be a shortage in data scientists because 50% of those jobs will be automated (eliminated by AI). Noah guides us through a conversation with Theresa and Doug obtaining their expert insights on the following.

  1. In 5 years, 50% of Data Science jobs will be automated? How will that work?

  2. What areas should I seek to automate now?

  3. What skills should I look for in Data Scientists?

  4. How will I know I hired a good Data Scientist?

  5. Should they have professional certifications on AI Ethics or AI design?

Theresa Kushner

Theresa Kushner turned her master’s degree in journalism from UNT into a career in high technology. For over 25 years she has led companies – like IBM, Cisco Systems, VMware, Dell/EMC, and NTT DATA – in recognizing, managing, and using the information or data that has exploded exponentially. Using her expertise in journalism, she co-authored two books on data and its use in business:  Managing Your Business Data:  From Chaos to Confidence (with Maria Villar) and B2B Data-Driven Marketing:  Sources, Uses, Results (with Ruth Stevens). 

 

Today, as the “Data as an Asset” lead for NTT DATA, Theresa continues to help companies gain value from data and information.  For her efforts in leading analytics, Theresa was inaugurated into the Analytics Hall of Fame at Pace University in New York in March 2019.  She currently serves as an AI/Analytics consultant in the Data & Intelligent Automation group with NTT DATA.

Doug Laney

Doug Laney leads Caserta’s data and analytics strategy practice. He and his team advise senior IT, business and data leaders on data monetization and valuation, data management and governance, alternative data, analytics best practices, and information innovation. Doug’s best-selling book, Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage, was selected by CIO Magazine as the “Must-Read Book of the Year.”  

 

Previously Doug was a Distinguished Analyst with Gartner’s Chief Data Officer research and advisory team. He also launched and managed the Deloitte Analytics Institute, and has been published in the Wall Street Journal, Forbes, and the Financial Times among other journals. Doug has guest-lectured at major business schools around the world and is now a visiting professor with the University of Illinois Gies College of Business where he teaches “Infonomics” and “Business Analytics Executive Overview” courses, also available online via Coursera.