Deeploy
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Deeploy solves the challenges faced by Data Scientists and CTOs in the ML lifecycle by offering a responsible AI platform. Despite ML becoming more common, maintaining control and responsible usage remains a challenge. Deeploy addresses these challenges by simplifying model deployments, automatically logging and storing info for traceability, efficient performance monitoring with customizable alerts, presenting outputs in a understandable manner for stakeholders, and incorporating human feedback in the tool. Deeploy empowers Data Scientists and CTOs to focus on delivering accurate insights with its streamlined deployment, traceability, performance monitoring, and human-centered approach.
Collabspace ARCHIVE is a data protection application that enables cross-system content access, auditing, recovery, and search. Content connectors automatically stream and index your files into a data lake in real-time to achieve comprehensive visibility, multi-level permissioned access and effective collaboration.
Deeploy Reviews
Floris H.
Machine Learning Engineer bij EnjinsSimplified deployment and monitoring of ML models
Loek G.
Useful and responsible tool
Anouk M.
Combining MLOps, explainability and AI governance
About
What is Deeploy?
Artificial Intelligence is one of the biggest innovations of our time. It changes the way we live, work, care, teach, and interact with each other. However, AI also comes with challenges and could potentially harm when poorly implemented. Nowadays, transparency, explainability, and security of AI models are more important than ever. Deeploy offers a safe and secure environment to deploy your models enabling you to continuously monitor your model performance with confidence and responsibility. Deeploy provides organizations with high-risk AI use cases with a Responsible AI platform and creates the opportunity to implement explainable Machine Learning models while enabling interaction between humans and AI. Setting the technical foundation for Responsible Machine Learning, connecting creators and consumers.
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