Most Popular Reasons ML Projects Fail and How to Avoid Them


AI and ML are disrupting every industry and companies are investing heavily in hopes of gaining any kind of competitive edge. Yet, the majority of their ML projects never make it to production. Natasha has the unique experience of having worked on both the client side and vendor side, covering hundreds of projects. This session will provide real life lessons to help you and your team avoid the most common pitfalls.


Natasha Montagu is a Solutions Architect in the field AI and data annotation. She has worked on numerous end-to-end AI projects across multiple industries helping companies unlock the power of their data and turn it into cost-effective, scalable models. She also brings her expertise from the client's perspective from building out in-house teams to outsourcing whilst retaining high-quality data outputs.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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