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We are very happy to announce that we are organizing the 12th edition of the Eindhoven Data Community meetup. This time we will be back at one of our favourite locations, the Skybar in Microlab!

This meetup will be all about on how to make impact using Machine Learning. First, Maria Vechtomova, MLOps Tech Lead at Ahold Delhaize, will talk about how to standardize the processes around ML model deployment in order to significantly reduce time to production. Second, Yke Rusticus, ML engineer at Xebia Data, will tell more about how Vattenfall leverages data and AI to help customers get a grip on their energy consumption and help them become more sustainable one step at a time.

Leveraging data and AI to help customers become more sustainable one step at a time. Vattenfall's mission is to enable fossil free living in one generation. With gas prices rising and the effect of global warming becoming more apparent, more people are realising that we must act now. But where do you start? In this session, we will share how Vattenfall leverages data and AI to help customers get a grip on their energy consumption and help them become more sustainable one step at a time.

MLOps as a product 10 years ago, the first corporate companies started investing in data science. By now, most have multiple machine learning models running in production, but productionalizing new models takes longer than companies would like it to. The goal of MLOps is to standardize the processes around machine learning model deployment and significantly reduce time to production. In large organizations, this quickly pays off. Maria Vechtomova believes that MLOps should be viewed as a product, and therefore managed as a product. In her talk, she will walk through the components of an MLOps platform (such as MLOps infrastructure, reusable deployment pipelines and governance) and the composition of the ideal MLOps product team.

Program

• 17:00 – 18:00 🍕 Food
• 18:00 – 18:10 🎤 Welcome
• 18:10 – 19:00 🎤 Yke Rusticus - Leveraging data and AI to help customers become more sustainable one step at a time.
• 19:00 – 19:15 ⏸️ Break
• 19:15 – 20:00 🎤 Maria Vechtomova - MLOps as a product
• 20:00-21:00 🥤 Drinks

Speaker 1: Yke Rusticus Yke is a Machine Learning Engineer at Xebia Data with a background in astronomy and artificial intelligence. In the industry, he learned that models and algorithms often do not get past the experimentation phase, leading him to specialise in MLOps to bridge the gap between experimentation and production. As a professional in this field, Yke has developed ML platforms and use cases across different cloud providers, and is passionate about sharing his knowledge through tutorials and trainings.

Speaker 2: Maria Vechtomova Maria is a Lead ML Engineer at Ahold Delhaize, bridging the gap between data scientists infra and IT teams at different brands and focusing on standardization of ML model deployments across all the brands of Ahold Delhaize. Maria believes that a model only starts living when it is in production. For this reason, last seven years, she focused on MLOps. Together with Basak and Raphael, running Marvelous MLOps. For more info, follow Marvelous MLOps on Substack: https://marvelousmlops.substack.com

We talked about:

Maria's background Marvelous MLOps Maria's definition of MLOps Alternate team setups without a central MLOps team Pragmatic vs non-pragmatic MLOps Must-have ML tools (categories) Maturity assessment What to start with in MLOps Standardized MLOps Convincing DevOps to implement Understanding what the tools are used for instead of knowing all the tools Maria's next project plans Is LLM Ops a thing? What Ahold Delhaize does Resource recommendations to learn more about MLOps The importance of data engineering knowledge for ML engineers

Links:

LinkedIn: https://www.linkedin.com/company/marvelous-mlops/

Website: https://marvelousmlops.substack.com/

Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

MLOps 101: Making your data work for you - Maria Vechtomova

About this event

Outline:

• MLOps
• Pragmatic MLOps
• MLOps standardization

About the speaker:

Maria is a Machine Learning Engineer at Ahold Delhaize. Maria is bridging the gap between data scientists infra and IT teams at different brands and focuses on standardization of machine learning operations across all the brands within Ahold Delhaiz

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At Ahold Delhaize, we have 19 local brands. Most of our brands have common goals, such as providing personalized offers to their customers, a better search engine on e-commerce websites, and forecasting models to reduce food waste and ensure availability. As a central team, our goal is to standardize the way of working across all of these brands, including the deployment of machine learning models. To this end, we have adopted Databricks as our standard platform for our batch inference models.

However, API deployment for real time inference models remained challenging due to the varying capabilities of our brands. Our attempts to standardize API deployments with different tools failed due to complexity of our organization. Fortunately, Databricks has recently introduced a new feature: serverless API deployment. Since all our brands already use Databricks, this feature was easy to adopt. It allows us to easily reuse API deployment across all of our brands, significantly reducing time to market (from 6-12 months to one month), increasing efficiency, and reducing the costs. In this session, you will see the solution architecture, sample use case specifically used to cross-sell model deployed to four different brands, and API deployment using Databricks Serverless API with custom model.

Talk by: Maria Vechtomova and Basak Eskili

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