For transformational outcomes with AI, think Augmented Intelligence, not Automated Intelligence

Start Date:2/15/2018

Start Time:10:30 AM CST

Duration:60 minutes


AI tools and technologies are rapidly maturing and enterprises are racing to develop business cases to underpin AI initiatives.  These business cases tend to fall along two lines: 

  1. Automated Intelligence - Automating human behavior to achieve parity on commonly performed, repetitive tasks.
  2. Augmented Intelligence - Making smarter decisions by extracting insights that far exceed the abilities of any person or team. 

Join guest speaker, Kjell Carlsson, Senior Analyst at Forrester, and Stephen Brobst, CTO at Teradata, where they discuss the business outcomes shaping the future of enterprise AI.”

You will learn:

  • Why Augmented Intelligence delivers more value than Automated Intelligence
  • Critical capabilities required for Augmented Intelligence
  • Practical enterprise case studies featuring Augmented Intelligence

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Stephen Brobst

Stephen Brobst is the Chief Technology Officer for Teradata Corporation. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. Stephen has been on the faculty of The Data Warehousing Institute since 1996. During Barack Obama's first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). He was recently ranked by ExecRank as the #4 CTO in the United States (behind the CTOs from, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.

Kjell Carlsson

Kjell serves application development and delivery professionals, covering artificial intelligence, data science, and advanced analytics. His research helps organizations take advantage of the increasing, untapped potential of these analytics technologies to drive growth and transform existing ways of doing business. His research agenda focuses on the strategies, best practices, skills, and vendors that accelerate the pace at which firms adopt and drive value from machine learning and advanced analytics. Kjell holds a Ph.D. in business economics from the Harvard Business School His research is published in Advances in Strategic Management and Advances in International Management. He also holds an M.A. in economics from Harvard University and a B.A. in economics and computer science from Columbia University. Kjell has more than 15 years of experience in driving strategic insights from data, across roles in strategy research, management consulting, big data, healthcare, and cloud-based services. Most recently, he led the development of speech analytics, predictive analytics, network analysis, and AI applications to drive sales performance at athenahealth. Prior to this, he was a management consultant leveraging data analysis for strategic recommendations at EMC — focusing on its data storage, disaster recovery and backup, and security businesses — and at Wilson Perumal & Co., focusing on the financial industry. Prior to his doctoral work, Kjell conducted research on strategy, national competitiveness, and healthcare for Michael Porter at the Institute for Strategy and Competitiveness.

Nicholas J Switanek


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For transformational outcomes with AI, think Augmented Intelligence, not Automated Intelligence
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