AI has the power to transform industries and set businesses up with lasting competitive advantage. However, the full impact of AI can only be achieved when AI can be trusted.
Our latest eBook identifies three key goals of MLOps and trustworthy AI: trust in data, trust in models, and trust in processes. We also analyze building blocks to help achieve those goals such as data collection and access, model building and deploying, and monitoring and managing models. How MLOps, trustworthy AI and the data fabric are related is covered as well alongside real-world examples from the healthcare, manufacturing, and banking/finance industries.
Those seeking more in-depth information on MLOps and trustworthy AI will also find we’ve recommended several solution components as part of a more holistic data and AI platform as well as additional resources such as a free trial.
Download “MLOps and trustworthy AI for data leaders” today!
eBooks for 3 other important data and AI use cases are also available:
Multicloud data integration for data leaders
Data governance and privacy for data leaders
Customer 360 for data leaders