MLOps.community meetup #9 with Charles Martin - 10 Years Deploying Machine Learning in the Enterprise: The Inside Scoop!

MLOps.community meetup #9 with Charles Martin - 10 years deploying Machine Learning in the Enterprise: The Inside Scoop!   Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletterWhy do some machine learning projects succeed while others fall completely?   In this discussion, we will discuss the real-world challenges that Enterprises face in deploying ML solutions, focusing on challenges with existing, legacy dev-ops environments and how certain patterns of success emerge to help combat failure.    Dr. Martin runs a boutique consultancy in San Francisco, California, that supports organizations looking to research, build, and deploy data science, machine learning, and AI products.  He has worked with clients like eBay, BlackRock, and GoDaddy, as well as widely successful startups such as Aardvark (acquired by Google) and Demand Media (the first public billion-dollar IPO after Google). He is a world-renowned researcher, collaborating with UC Berkeley on the WeightWatcher project, and has taught at UC Berkeley and Stanford, and spoken at KDD, ICML, etc. He has also provided scientific advisory support to the Anthropocene Institute, advising on areas of nuclear and quantum technologies with an eye toward climate change.Read more from Charles: http://calculatedcontent.com/ Join our Slack community: https://go.mlops.community/slack  Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Charles on LinkedIn: https://www.linkedin.com/in/charlesmartin14/