AI and analytics services company Tredence has launched a state-of-the art machine learning platform, ML Works, targeting data scientists, engineers, and analysts. The enterprise version of the platform will be launched in September. For now, the platform is free.
ML Works offers automated workflows, pre-built solutions for tracking model degradation, and code workflow management. The platform will help companies navigate ML operations challenges. It will allow data scientists to shift focus from management and risk mitigation aspects of machine learning to driving innovations in AI.
ML Works can scale machine learning models, simplify monitoring, and reduce outages. It also detects anomalies in ML models in the early stages and thereby reduces downtime.
ML Works includes data drift analysis capabilities for monitoring product model accuracy, explainable AI for non-technical users, and custom metrics.
“AI only delivers value if machine learning models are deployed in production, which is why we created ML Works to help enterprises make the most of their machine learning investments. Breakaway companies across the globe are focused on driving AI-led innovation and faster value realisation, and ML Works will help enterprises of all sizes make that leap,” said Soumendra Mohanty, COO, and Chief Innovation Officer, Tredence.
Tredence CTO Sumit Mehra said: “This cutting-edge platform will accelerate the machine learning lifecycle, which will be a game-changer in the industry.”
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