Practical AI Anaconda + Pyston and more
Sep 1, 2021
Joining the conversation is Peter Wang, a key figure at Anaconda specializing in data science technology. He discusses the latest findings from the 'State of Data Science' survey, revealing how the pandemic reshaped data science practices and job roles. Peter also introduces Anaconda's exciting partnership with Pyston, which aims to enhance Python performance. The dialogue dives into challenges data scientists face today, including model deployment hurdles, and the ongoing evolution of tools in this dynamic field.
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Data Science Title Inflation
- Data science roles may experience title inflation.
- This could be due to retention efforts or team growth requiring senior title adjustments.
Data Science Role Diversification
- The number of respondents primarily identifying as "data scientists" is decreasing.
- More diverse roles like cloud engineers and product managers are using data science tools.
Shift to Cybernetics Era
- The tech landscape is shifting from the Wintel era to a more heterogeneous cybernetics era.
- This presents deployment challenges beyond traditional servers, like industrial automation and cybernetic control loops.