The Conference for Machine Learning Innovation

ML Strategy Day

Workshop
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until September 16:
✓Save up to $290
✓10% team discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Infos
Booking note:
ML Strategy Day

The ML Con Strategy Day provides a unique opportunity to learn from experts what steps must be taken to build successful ML products. It provides an in-depth overview of the approaches ML pioneers and thought leaders use to develop amazing Machine Learning implementations: which know-how is needed, which methodologies are helpful, what technology choices must be made, and how to manage ML in production.

Incorporating Machine Learning into a business strategy opens up fascinating new possibilities, but is anything but simple. We have seen far too many failed ML projects or prototypes that had no impact on the business. At the same time, if ML projects are approached the right way and with wisely chosen means, the opportunities for innovative digital products are limitless.

The MLCon Strategy Day enables you to develop a viable roadmap for your ML project or review existing roadmaps in collaboration with the experts. It will provide you with the knowledge you need to be successful with your ML strategy!

Topic overview:

  • Welcome & introduction
  • Motivation: goals and benefits of ML for your business
  • Ideation: ML product development
  • Data: data sources & integration, data streaming
  • Know-how: important roles and functions in the team
  • Make or buy: in-house development or cloud-based ML solution?
  • Methodology: lean and agile
  • MLOps: enhance and optimise ML products in production

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

Behind the Tracks