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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Dive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps. TimeStamps:
00:00:00 - Introduction to the episode with Maria Vechtomova. 00:00:32 - Sadie introduces Maria Vechtomova and her career. 00:01:06 - Maria expresses her appreciation for the DataBytes podcast. 00:02:06 - Conversation about past experiences with piano lessons. 00:03:12 - Maria's transition from economics to data and MLOps. 00:04:31 - The impact of having inspiring colleagues. 00:06:07 - Discussion on the value of freedom and management styles in Maria's career. 00:07:14 - Maria talks about the founding of Marvelous MLOps. 00:09:09 - The impact of publishing articles and LinkedIn engagement. 00:10:39 - How the field of MLOps has evolved over the years. 00:14:10 - The state of MLOps practices in the industry. 00:16:27 - Advice for data scientists on best practices for MLOps collaboration. 00:18:19 - Ideal handoff models between data engineering, data science, and MLOps teams. 00:20:58 - Describing a typical week for an MLOps engineer. 00:24:21 - How to balance leadership and technical knowledge. 00:26:26 - Discussing the representation of women in MLOps and tech. 00:29:51 - Conclusion and thanks to Maria and listeners. 00:30:05 - Outro with an advertisement for Women in Data community memberships.
Join Women in Data as a Member: https://womenindata.mn.co/plans/389742?bundle_token=786e315f336334cfdfd416404db1fbf5&utm_source=manual
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