Top Trends in Enterprise Machine Learning for 2021
summary
Algorithmia reports a third annual enterprise survey of mostly >$100M firms and claims a 76% increase in data scientists year over year, yet deployment gets slower. Sixty seven percent must comply with one or more regulations, 56% cite governance security and auditability as top pain, and 49% struggle with integration. Thirty eight percent say data scientists spend over half their time on deployment. Buying third‑party MLOps runs about 20% cheaper and shortens time to value.
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chapters (7)
- 0:00Introduction and survey overview
- 3:54Priority shift in AI investment
- 7:01Top enterprise ML use cases
- 10:30Governance and integration challenges
- 15:26MLOps adoption and benefits
- 21:302021 as the year of ML results
- 22:53Q&A on ML trends and challenges
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