The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Oct 18, 2019
Josh Bloom, a UC Berkeley astrophysics professor, leads a panel featuring Amr Awadallah, Cloudera's Global CTO, and Pallav Agrawal, Data Science Director at Levi Strauss & Co. They explore the challenges traditional enterprises face in adopting machine learning. The discussion delves into digital transformation strategies, the necessity of bridging developer and operations teams, and the critical importance of attracting data science talent. Insights also cover the oil and gas industry's pivot to renewables and the urgency for businesses to innovate in the AI era.
AI Snips
Chapters
Transcript
Episode notes
ML Projects as Startups
- Treat machine learning projects like a startup portfolio.
- Iterate quickly and accept that some projects will fail.
IT Unpreparedness
- Traditional IT departments are often unprepared for machine learning solutions.
- They struggle to transition from classic data warehousing and BI backgrounds.
Attracting Talent
- Offer entrepreneurial opportunities and the ability to influence end-to-end solutions to attract data science talent.
- Look for candidates with growth mindsets and adaptability, not just skills.