MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15

James Sutton is an ML Engineer focused on helping enterprise bridge the gap between what they have now, and where they need to be to enable production scale ML deployments. ----------- Connect With Us ✌️------------- Join our Slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with James on LinkedIn: https://www.linkedin.com/in/jamessutton2/ Timestamps: 0:00 - Intro to Speaker 2:20 - Scope of the coffee session 3:10 - Background of James Sutton 8:28 - One-shots Classifier Algorithm    12:46 - Why is it a challenge from the engineering perspective with deployment? 19:20 - How to overcome bottlenecks? 30:07 - Vision of your landscape?   34:45 - Maturity playout 38:48 - Maturity perspective of ML 41:49 - Risk of overgeneralizing system designs patterns 46:10 - Reliability, Speed, Cost 46:46 - Consistency, Availability, Partition Tolerance (CAP Theorem) 47:36 - How do you go about discussing these tradeoffs with your clients? 51: 23 - How would you deal with the PII? 58:50 - Collaborative process with clients 1:00:55 - Wrap up