Machine learning projects start to generate value only after workflows connect with data and related management systems. As such, machine learning infrastructure must be able to adapt quickly and connect seamlessly as new tooling is developed.
This whitepaper will discuss:
How to ensure the functional components of your ML program align and connect
Best practices for integrating your data management systems with any involved external systems for maximum return on investment
The ways that the four functional groupings interact and rely on one another for peak performance of the ML program
Machine Learning Infrastructure Part 3: Connectivity
Machine learning projects start to generate value only after workflows connect with data and related management systems. As such, machine learning infrastructure must be able to adapt quickly and connect seamlessly as new tooling is developed.
This whitepaper will discuss:
How to ensure the functional components of your ML program align and connect
Best practices for integrating your data management systems with any involved external systems for maximum return on investment
The ways that the four functional groupings interact and rely on one another for peak performance of the ML program
