The Conference for Machine Learning Innovation

Practical Experiences from setting up the complete MLOps pipeline

Session
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos
Wednesday, November 30 2022
14:30 - 15:15

Many companies are already using machine learning and artificial intelligence algorithms. However, winning a Kaggle competition is not enough, the decisive factors are not only to train the best fitting model. The time to market of the models are crucial. To improve the time to market consistently, an end-to-end MLOps process that are required to train, test, deploy, run, and monitor ML models is essential for a company’s success. Building such a MLOps pipeline is a complex journey as the process consists of integration and choosing many different tools of a machine learning live cycle. It also requires the expertise of a combination of different stakeholder such as DevOps, Data Engineering and Data Science. This talk gives an insight of best practice approaches from industry in order to efficiently setting up a complete ML and AI end-to-end pipeline to provide and maintain fast and accurate predictions.

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

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