Question: Looking for a vendor that provides MLOps products for managing and deploying AI models in healthcare.

If you're looking for a vendor that offers MLOps products for managing and deploying AI models in healthcare, MLflow is a great option. It's an open-source, end-to-end MLOps platform that simplifies the development and deployment of machine learning and generative AI applications. MLflow includes features like experiment tracking, model management, and support for widely used deep learning and traditional machine learning libraries. It also offers a wealth of learning resources, including guides and tutorials, which makes it a great option for improving collaboration, transparency, and efficiency in ML workflows.

Another contender is Modelbit, an ML engineering platform that lets you rapidly deploy custom and open-source ML models to autoscaling infrastructure. It comes with built-in MLOps tools for model serving, automatic synchronization of model code through Git, and industry-standard security. Modelbit supports a wide range of ML models and lets you deploy from a variety of sources like Jupyter notebooks and Snowpark ML, so it's a good option for deploying AI models in healthcare.

For those in the life sciences space, Huma.AI offers a generative AI platform designed for medical affairs, regulatory affairs and clinical development. It offers up-to-date results with complete privacy and access to internal and external data sources, helping to address challenges like improving scientific exchange and real-world data analysis. The platform is validated at 97% accuracy and is supported by hands-on assistance from experienced experts, providing users with actionable data and insights in plain language.