How is Enterprise Problem Solving Different from Chess,Go,ImageNet, most Kaggle Challenges and Moonshots

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How is Enterprise Problem Solving Different from Chess,Go,ImageNet, most Kaggle Challenges and Moonshots

Online

Tuesday, March 31st, 2020
Time : 02:30 pm- 03:30 pm

How is Enterprise Problem Solving Different from Chess,Go,ImageNet, most Kaggle Challenges and Moonshots

What changes when we try to address enterprise problems? How does problem formulation change what questions can be answered? What happens when our model does not capture the underlying data generating process ? Why does capturing correlations vs establishing causative relationships matter? Does our data even have information on questions we want answered? Does distribution of our production data look like the training data in the enterprise? [No: This assumption is almost always violated] What does it take to answer "what-if this did not happen" questions? We will examine three example problems solved in production to explore what it takes to successfully address problems in the enterprise with a progressive move towards dynamic causal models.

Recordings of the past webinars are available on YouTube

https://www.youtube.com/c/ProductconclaveIn/playlists

Speaker
Vikas Agrawal Senior Principal Data Scientist, Oracle
Date and time
Tuesday, March 31st,2020 - 02:30 pm- 03:30 pm
venue / address

Online

Registration

The session is free to attend, However, prior registration is mandatory.

Click Here  to register.