Tredence created ML Works based on extensive experience managing multiple AI customer engagements to scale thousands of machine learning models, minimize outages, and simplify model monitoring.
FREMONT, CA: Tredence, a leading AI engineering and analytics services company, is driving innovation in artificial intelligence with the launch of its state-of-the-art machine learning operations platform, ML Works. The community launch will enable data scientists, engineers, and analysts to register and explore ML Works for free. In September, the enterprise version will be out.
Companies around the industry are grappling with AI projects that struggle to reach production due to bias in data, algorithms, or the teams in charge of them. ML Works is intended to assist businesses in resolving complex ML operations problems through automated workflows, pre-built solutions to monitor model deterioration, and code workflow management. Data scientists may use ML Works to move their emphasis from handling machine learning and reducing risks to augmenting AI developments.
"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," stated Soumendra Mohanty, COO, and Chief Innovation Officer, Tredence. "Breakaway companies across the globe are focused on driving AI-led innovation and faster value realization, and ML Works will help enterprises of all sizes make that leap."
Tredence created ML Works based on extensive experience managing multiple AI customer engagements to scale thousands of machine learning models, minimize outages, and simplify model monitoring. Furthermore, the platform tracks the health of models in order to minimize bias and identify irregularities, which can be costly and disruptive for businesses that use AI.