Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Machine learning at small organizations
Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.
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Sponsors
- The Changelog – Conversations with the hackers, leaders, and innovators of the software world
Featuring
- Kirsten Lum – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
Something missing or broken? PRs welcome!
Timestamps
- (00:00) - Opener
- (00:37) - Welcome to Practical AI
- (01:12) - Kirsten Lum
- (05:44) - Selling short in data science
- (08:02) - FUD from a management POV
- (13:44) - Data science is like cooking
- (17:32) - Sponsor: The Changelog
- (19:16) - What to focus on when you're new
- (22:33) - Managing flexibility in a small company
- (26:26) - Navigating people in a small business
- (29:17) - Putting the practical in PracticalAI
- (35:54) - How to approach non data-centric people
- (39:26) - Advantages of small ML orgs over big orgs
- (42:37) - Mentoring people the right way
- (46:00) - Looking into the future
- (49:04) - Outro