Scortex's MLOps strategy before and after their life-saving pivot

After 5 years trying to build a machine learning product for the industry, a dangerously short financial runway caused Scortex to change their product and their organization drastically overnight. This put their strategic MLOps choices to the test, and brought to light the good things that they did, as well as the bad things. Now they want to share those tough learnings with you!

⏰ Schedule

• 18h15 - 18h30: Welcome & Introduction 👋
• 18h30 - 19h15: Talk 🎙
• 19h15 - 19h30: Q&A Session 🙋‍♀️
• 19h30 - 21h00: Cocktail & Networking 🥂

🎙 About the speaker

Florentin Hennecker is Lead MLOps and Data Engineer at Scortex. After an experience in computer vision R&D, he joined Scortex at its beginning to build their product on the machine learning and software side. He's now leading the development of the machine learning and data platforms.

🙌 Sponsors

Scortex enables manufacturers to take control of their quality thanks to its Quality Intelligence Solution, delivering world-class automation for visual inspections and real-time analytics on production and quality issues. Their platform allows the creation, deployment and management of inspection applications on production lines to create quality data & insights.

Qonto is the leading European business finance solution. It simplifies everything from daily banking and financing to bookkeeping, invoicing, and spend management. Qonto serves more than 350,000 clients in 4 countries (France, Germany, Italy, and Spain) and employs more than 1,000 talents in Paris, Berlin, Milan, Barcelona and Belgrade.

nibble is a technology player in the MLOps space helping organisations scale their data-heavy algorithmic initiatives (AI/ML and the likes) with a mix of service and in-house software solutions. Our main product is called spice and is the first brick of a feature platform.

🤩 Audience

This is a meetup for data professionals who want to push forward the productionization of machine learning development within their organizations: data scientists, data engineers, software and devops engineers, data project/product managers...

👋 Contact

For any inquiries, please contact florent@mlops.paris