AI Maturity: how to Minimize the Risks and Maximize the Benefits AI can bring

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IEEE Computer Society - San Diego Chapter

2023 Invited Seminar Series: Lecture 6

There is so much excitement about AI.  Whether your team consists of expert data scientists or citizen data scientists or both, investing in AI is a great way forward.  Using your data as an asset with the help of AI has great potential to bring a competitive advantage, but only when done right.  Mature AI is defined as having properly developed, productionalized, consumed, and maintained AI products.  AI Maturity is directly correlated to the business impact AI will bring. With a plan developed on the AI Maturity model we will present, you can move your team forward on your maturity journey.


  Date and Time

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  • Date: 30 May 2023
  • Time: 05:30 PM to 06:30 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
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  • Contact Event Hosts

  • cbird998@gmail.com

  • Starts 01 May 2023 04:37 PM
  • Ends 30 May 2023 06:37 PM
  • All times are (UTC-07:00) Pacific Time (US & Canada)
  • No Admission Charge

  Speakers

Tamara Sipes Tamara Sipes of United Healthcare

Topic:

AI Maturity: how to Minimize the Risks and Maximize the Benefits AI can bring

There is so much excitement about AI.  Whether your team consists of expert data scientists or citizen data scientists or both, investing in AI is a great way forward.  Using your data as an asset with the help of AI has great potential to bring a competitive advantage, but only when done right.  Mature AI is defined as having properly developed, productionalized, consumed, and maintained AI products.  AI Maturity is directly correlated to the business impact AI will bring. With a plan developed on the AI Maturity model we will present, you can move your team forward on your maturity journey.

Biography:

Dr. Sipes is a Chief Data Scientist at United Healthcare, an avid Advocate of modern Machine Learning approaches, products, and technologies, and a big proponent of moving companies forward on their AI Maturity journey.  She has over twenty years of ML leadership and innovation experience, envisioning, managing, and deploying ML products at scale—proven history of ML product portfolio modernization and improvements in performance, scope, and scalability. Dr. Sipes has a Ph.D. in Computer Science with an emphasis on AI and ML from Vanderbilt University.

Email:

Address:San Diego, United States