As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub.

Manufacturers want to deliver the best products on the market as quickly and ethically as possible. They want to increase productivity and profits. Their problems and needs don’t change, but the technology and solutions do. In our AI in Manufacturing ebook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform.

Trust is an essential part of doing business. Whether it is the reliability of the supply chain, the accuracy of financial predictions, or the assurance of product availability, trust from customers, vendors, and suppliers is non-negotiable. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.

Human intelligence is good at intuition and experience, generating unique and tailored offerings, as well as recognizing patterns and connections. At the same time, machine intelligence shines when it comes to executing rules-based approaches and processing power, as well as handling large-scale tasks and massive data volumes. DataRobot combines the best of both worlds in our Augmented Intelligence strategy.