The Conference for Machine Learning Innovation

MLOps – from ML model to cloud-service: challenges and pitfalls of scalable document processing

Session
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✓ Team discount
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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
Tuesday, November 29 2022
14:30 - 15:15

Building and training ML models is only the beginning of a long journey. The point where it gets really interesting is when these models also need to work on live data in a fast and scalable way. A lot of questions might arise: Do you need GPU machines in the cloud for inference? What is the speed of the model inference? What will the cost be? Can we scale the number of request infinitely?
In this talk I will share our experiences of building an ultra scalable document processing service (invoice recognition and OCR) with maximum speed and minimum cost. I will share our challenges, decisions and what we would have done differently.

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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