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Data science is a quickly growing technology as organizations of all sizes embrace artificial intelligence (AI) and machine learning (ML), and along with that growth has come no shortage of concerns.
The 2022 State of Data Science report, released today by data science platform vendor Anaconda, identifies key trends and concerns for data scientists and the organizations that employ them. Among the trends identified by Anaconda is the fact that the open-source Python programming language continues to dominate the data science landscape.
Among the key concerns identified in the report was the barriers to adoption of data science overall.
“One area that did surprise me was that 2/3 of respondents felt that the biggest barrier to successful enterprise adoption of data science is insufficient investment in data engineering and tooling to enable production of good models,” Peter Wang, Anaconda CEO and cofounder, told VentureBeat. “We’ve always known that data science and machine learning can suffer from poor models and inputs, but it was interesting to see our respondents rank this even higher than the talent/headcount gap.”
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