2x27: How the ML Community Has Evolved in 2021 with Demetrios Brinkmann and David Aponte
Utilizing Tech - Season 7: AI Data Infrastructure Presented by Solidigm
English - July 06, 2021 13:00 - 51 minutes - 59.3 MB - ★★★★★ - 1 ratingTechnology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
The MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community rising in 2021. In this episode, MLOps Community managers Demetrios Brinkmann and David Aponte join Steph Locke and Stephen Foskett to discuss what has changed over the last year. It seems that a new ML company is launching every week, and the MLOps Community provides a great way to learn about these. We are also seeing a push and pull between open source and cloud platforms, and concern about lock-in and technical debt. Data science and machine learning are merging, with greater focus on data quality and quantity when training models.
Three Questions
Is MLOps a lasting trend or just a step on the way for ML and DevOps becoming normal?
Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future?
How big can ML models get? Will today’s hundred-billion parameter model look small tomorrow or have we reached the limit?
Companies Mentioned
Microsoft, Tecton, Scale AI Sara Williams Talk
D. Sculley interview
Guests and Hosts
Demetrios Brinkmann, Community Coordinator at MLOps Community. Connect with Demetrios on LinkedIn, on Twitter at @DPBrinkm or at mlops.community.
David Aponte, Community Coordinator at MLOps Community. Connect with David on LinkedIn.
Steph Locke, Data Scientist and CEO of Nightingale HQ. Connect with Steph on LinkedIn or on Twitter @TheStephLocke.
Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.
Date: 7/6/2021 Tags: @SFoskett, @TheStephLocke, @DPBrinkm, @MLOpsCommunity