Managing Data Science as Products. How data science teams can apply product management practices to solve their biggest challenges
According to an article published by Wharton, the amount of data science jobs have experienced “massive growth — 15 times, 20 times” over the last few years. However, it does not mean data scientists have it easy. With the October 2019 Report from MIT Sloan and Boston Consulting Group citing “seven out of ten companies report minimal or no impact from AI so far”, data science teams are under tremendous pressure to overcome these hurdles and demonstrate impact.
In the 2017 Kaggle State of Data Science and Machine Learning Survey, 16,000 respondents identified the 7 biggest barriers for data scientists at work as:
Aside from dirty data, all of the hurdles faced by data science teams relate to organizational and stakeholder management issues.
No amount of Python or R code will solve such challenges. Instead, data science teams need to immediately employ product management practices to engage stakeholders effectively and demonstrate their value to the organization. Below are some simple steps Data Science teams can put into practice
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
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In this blog here, we try to understand the role of data product managers within organizations and how they utilize data science, machine learning, and artificial intelligence to solve problems.
The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.