Decision Intelligence with Cassie Kozyrkov

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May 23, 2018

Cassie Kozyrkov, Chief Decision Scientist at Google Cloud, introduces the concept of Decision Intelligence and the combination of behavioral and data sciences. She discusses the importance of understanding decision context and utilizing data while exploring challenges in AI and machine learning.

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ANECDOTE

Data-Inspired Decisions

Cassie Kozyrkov uses a hotel star rating example to illustrate data-inspired decisions.
People justify pre-determined preferences with data, instead of letting data drive choices.

INSIGHT

Decision Intelligence: Data Science + Behavioral Science

Decision intelligence combines data science with behavioral science.
Framing the decision context upfront is crucial for data-driven decisions, not just data analysis.

ADVICE

Data-Driven Leadership

Leaders should pre-determine decision criteria before looking at data.
Consider full information, partial information, uncertainty, and risk tolerance.

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Chief Decision Scientist, Cassie Kozyrkov joins Mark and Melanie this week to explain data science, analytics, machine learning and statistical inference, in relation to decision intelligence.

Cassie Kozyrkov

As Chief Decision Scientist at Google Cloud, Cassie advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the innovator behind the practice of Decision Intelligence Engineering at Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google’s Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she’s not working, you’re most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel.

Cool things of the week

Cloud ML Engine adds Cloud TPU support for training blog docs
Google Kubernetes Engine 1.10 is generally available and ready for the enterprise blog
Introducing ultramem Google Compute Engine machine types blog
Increase performance while reducing costs with the new App Engine scheduler blog docs

Interview

Decision Intelligence wikipedia
Redhat Summit Keynote youtube
Data Analytics wikipedia
Statistical Analysis wikipedia
Machine Learning wikipedia
Deep Learning wikipedia

There are several other episodes that provide insights into data science:

#31 TensorFlow with Eli Bixby podcast
#84 Kaggle with Wendy Kan podcast
#109 Cloud AutoML Vision with Amy Unruh and Sara Robinson podcast
#113 Open Source TensorFlow with Yifei Feng podcast
#122 Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast

As well as case studies on real world problems:

#91 The Future of Media with Machine Learning with Amit Pande podcast
#115 Google Play Marketing with Dom Elliott and Stewart Bryson podcast

Question of the week

How can I secure my Google Cloud Platoform acount using a YubiKey?

Securing your Cloud Platform Account with Security Keys docs
Encrypting Google Application Default and gcloud credentials with GPG SmardCard blog

Where can you find us next?

Mark will be speaking at the Monthly SF Game Development Community, presenting on You Can’t Just Add More Servers on May the 30th in San Francisco.

Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th. More details to come.