Inconceivable? Data Scientists and IT on the Same Page!
Update: 2020-10-13
Description
The buzz: “Why do only 13% of data science projects, or just one out of every 10, actually make it into production?…Data scientists have been around since the 1950s — individuals sitting in a basement working behind a terminal. But now that it’s a team sport…it’s essential that every person on the team is able to collaborate with everyone else: the data engineers, the data stewards… BI specialists, all the way up to DevOps and engineering.” (venturebeat.com)
Data science has become an integral part of 21st century organizations. Yet, setting up and successfully running a data science practice has not been fully achieved by most businesses. The majority of data science projects fail. And even many of the successes are not considered “accurate” enough to be utilized.
How can this failure rate be turned around?
We’ll ask Reliance Jio’s Naman Bhayani, and SAP’s Ankit Garg, Varun Thamba and Luigi Di Rito for their take on “Inconceivable? Data Scientists and IT on the Same Page!”
Data science has become an integral part of 21st century organizations. Yet, setting up and successfully running a data science practice has not been fully achieved by most businesses. The majority of data science projects fail. And even many of the successes are not considered “accurate” enough to be utilized.
How can this failure rate be turned around?
We’ll ask Reliance Jio’s Naman Bhayani, and SAP’s Ankit Garg, Varun Thamba and Luigi Di Rito for their take on “Inconceivable? Data Scientists and IT on the Same Page!”
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