ML cannot do without monitoring.

As most organizations are scaling their AI use, they need the best possible infrastructure for their ML activities.

For monday.com, a productivity solution leader, this meant answering the following:

• How are your models going to behave in the real world, with the scale and velocity of data to be processed?
• How can we ensure the health of your models at the right time?
• Who owns the models in production?
• How do you drive efficiency with the teams involved?