Our ebook, A Guide to Human-Centered AI by Colin Priest, offers proven insights on effective design and implementation of ROI-driven AI systems. See how finding the right combination of people, processes, and technology are critical to realizing generative organizational change and meaningful customer experiences.

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.

After acquiring MLOps specialist Algorithmia, the company aims to be the ‘go-to vendor’ for enterprise MLOps architecture by assuming responsibility for every machine learning model that an organization has created. DataRobot has fresh VC fuel in its tank to execute on this strategy.

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.