After much consideration, the General Chairs, Executive Committee and Organizing Committee for KDD 2020 have decided to take the conference fully virtual. The events of the past few months and the continued safety concerns have led us to make this difficult decision. Our focus now is on creating a virtual conference with the vibrancy, excellence and sense of community that KDD has become known for.

In the coming weeks, the agenda and more programmatic details will be announced, watch the website and our social media posts. Our plans include all the tracks and content you’ve come to count on at KDD, and five exciting keynote speakers! Registration is now open, clear your calendar for August 23-27, 2020, and enjoy access to all the virtual content live and on demand the week of the event.

We’ll look forward to seeing you next year, when we will hope to be together in a safe manner. We are also pursuing a KDD 2023 Conference in San Diego, so that we can realize the hard work this committee has put in and showing the KDD community this beautiful location!

Until then, please spread the word, and feel free to drop us a note with any questions or virtual best practices that you’d like to share.

All the Best,

Rajesh Gupta and Yan Liu
KDD 2020 General Chairs
General2020@kdd.org

The Near Future of Automated Data Science

The demand for creative, technically-skilled data scientists in the United States is growing at a rapid pace such that—although the demand for data scientists is booming—our ability to train students to fill those jobs is falling behind. There is also a growing concern that technical skill alone is insufficient for long-term data science career success, partially due to the fact that many data science tasks are being automated. A 2015 poll of professional data scientists, that found that, “most expert-level predictive analytics/data science tasks [are expected to] be automated by 2025. To stay employed, Data Scientists should focus on developing skills that are harder to automate, like business understanding, explanation, and story telling.


Shubha Nabar
Shubha Nabar
Faros AI
Monica Rogati
Monica Rogati
Data Science and AI Advisor; fractional CDO; Independent
Horst Samulowitz
Horst Samulowitz
IBM Watson Research Center
Melissa Smith
Melissa Smith
Deloitte Consulting

How can we assist you?

We'll be updating the website as information becomes available. If you have a question that requires immediate attention, please feel free to contact us. Thank you!

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