FREE WORKSHOP: Machine learning FOR STARTUPS
50-85% of Machine Learning Projects FAIL.
Don't take my word for it. See what MIT, WSJ, Gartner, & VentureBeat have to say.
Machine Learning is just hard to productize. The odds are stacked against you. And teams often fail to deliver tangible impact. For a technology that's bound to change the world, it's incredibly difficult to work with.
And the stakes are getting higher. No longer is it simply okay to "do AI". Startup leadership increasingly expects data teams to justify their existence with real impact.
After 5+ years in-the-trenches, building data products, I started writing on LinkedIn about the practices and tactics my teams were using to productize machine learning.
People found them useful, so I created this free workshop to help more teams deliver high-impact ML products.
You'll learn...
- The "Why" behind ML Failure
- Why ML projects have “high mortality” rates
- Why users don't adopt ML features
- Why ML feature economics are so challenging
- The "How" behind ML Success
- How to streamlining ML project viability
- How to manage stakeholder expectations
- How to increase ML feature user adoption
- How to pick high-impact ML use cases
- Avoiding the "ML graveyard" zone
- Bonus Items
- How to break into AI/ML Product Management
- How to build your startup's first data team
Testimonials
Presented by
Josh Tong
Machine LEarning
FOR STARTUPs
Overcome the 3 most-common barriers to impact
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