Cassie Kozyrkov

CEO at Data Scientific, Former Google Executive and Chief Decision Scientist, Technology Keynote Speaker and Evangelist, Creator of Making Friends and Machine Learning series

As CEO at Data Scientific and Former Chief Decision Scientist at Google, Cassie Kozyrkov guides teams in data-driven decision process and AI strategy. She is the innovator behind bringing the practice of Decision Intelligence to Google, personally training over 20,000 Googlers. Since leaving Google, Cassie founded Data Scientific and has been working on projects to help business leaders navigate artificial intelligence.

Cassie Kozyrkov Keynote Speaker Fee Fee range is for U.S. events, depending on location and organization type
Please Inquire
Languages Spoken
English
Travels From
Florida, USA

Cassie Kozyrkov Keynote Speaker Fee Fee range is for U.S. events, depending on location and organization type
Please Inquire
Languages Spoken
English
Travels From
Florida, USA

Why Cassie Kozyrkov?

Cassie Kozyrkov is a top thought leader in the field of data science.
She makes artificial intelligence and data-driven leadership easy to understand.
She provides thought-provoking conversation starters.
Cassie Kozyrkov uses colorful language and humor to make her talks fun!

Keynote Speaker Topics

Artificial Intelligence (AI) Keynote Speakers
Female STEM Keynote Speakers
Google Business Speakers
Leadership Keynote Speakers
Science Keynote Speakers
STEM Keynote Speakers
Women in Technology Keynote Speakers

Suggested Keynote Speaker Programs

Rules for a Safer AI Future

Artificial intelligence is changing our lives and the way we do work. While machine learning programs can make our jobs easier, they also introduce new challenges, like bias, cybercrime, and misinformation. In this talk, ...

Artificial intelligence is changing our lives and the way we do work. While machine learning programs can make our jobs easier, they also introduce new challenges, like bias, cybercrime, and misinformation. In this talk, Cassie Kozyrkov will show how AI and machine learning can be beneficial if we understand more about how it operates. Audiences will come away with the rules for creating and using safer AI, like understanding that AI is essentially human and can only do what we program it to do.

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Why Do Some Businesses Fail at Machine Learning?

Why do some businesses fail at machine learning despite its tremendous potential? Is it poor data quality, inability to access the right talent, or failure to get models into production that causes the problem? Or is there a subtler issue? With ...

Why do some businesses fail at machine learning despite its tremendous potential? Is it poor data quality, inability to access the right talent, or failure to get models into production that causes the problem? Or is there a subtler issue? With the potential for AI and machine learning to transform your business, there’s a lot to gain. And there’s a lot to lose if your rivals do it better. In this talk, Cassie Kozyrkov will share the many lessons she learned working at Google as the Chief Decision Scientist. Audiences will come away understanding how to build higher-performing teams and operationalize machine-learning projects to deliver business value in production.

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Use Decision Intelligence to Make Better Decisions at Scale

Businesses collect more data than one person can understand and evaluate. As information increases, decision-making can become more complex. Every industry is affected by this, from retail to financial services to healthcare. So how can you use ...

Businesses collect more data than one person can understand and evaluate. As information increases, decision-making can become more complex. Every industry is affected by this, from retail to financial services to healthcare. So how can you use decision intelligence to turn information into better actions at any scale? As Chief Decision Scientist at Google, Cassie Kozyrkov understands the challenges a business can face. In this lively talk, audiences will learn how to use technology, processes, and people in order to make better decisions at scale.

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About Keynote Speaker Cassie Kozyrkov

Cassie Kozyrkov is CEO at Data Scientific, an elite agency that helps world leaders and chief executives optimize their biggest decisions. She is known for founding the field of Decision Intelligence at Google where she served as Google’s first Chief Decision Scientist, advising leadership on decision process, AI strategy, and building data-driven organizations.

In almost 10 years at Google, Cassie personally trained over 20,000 Googlers in data-driven decision-making and AI and has helped over 500 projects implement decision intelligence best practices. Before that, she served in Google’s Office of the CTO as Chief Data Scientist. The rest of her 20 years of experience was split between consulting, data science, lecturing, and academia.

Cassie Kozyrkov hails from South Africa, where she began her undergraduate studies in statistics at age 15 at Nelson Mandela University before moving to the United States to complete a degree in economics at the University of Chicago. She then earned graduate degrees in mathematical statistics, psychology, and cognitive neuroscience from Duke University and NCSU.

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Cassie is also a top keynote speaker and a beloved personality in the data leadership community, followed by over half a million tech professionals. If you’ve had a good chuckle while learning about AI, statistics, or decision-making, chances are you’ve encountered her writing, which has reached millions of readers. She has been honored as a LinkedIn Top Voice for 3 years and as a #1 Artificial Intelligence writer on Medium for 5 years.

These days, she calls Miami home. When she’s not working, you’re most likely to find Cassie Kozyrkov at the theater, in an art museum, exploring the world, or curled up with a good novel.

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Media

Article

Dec 21, 2023

Unlocking the Promise of AI with Cassie Kozyrkov

Top data scientist and former Chief Decision Scientist at Google Cassie Kozyrkov democratizes understanding artificial intelligence. As technology changes our...

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