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Tredence Introduces ML Works, a Machine Learning Operations Platform, to Accelerate AI Innovation and Value Realization

Tredence, a leading AI engineering and analytics services company, is driving artificial intelligence innovation with the launch of the cutting-edge machine learning operations platform, ML Works. The community launch will encourage data scientists, developers, and analysts to register and explore ML Works for free. In September, the enterprise version will be out.

Companies around the industry are struggling with AI projects that fail to reach production due to bias in data, algorithms, or the teams in control of them. ML Works is intended to assist companies in resolving complex ML operations challenges by automated workflows, pre-built solutions to monitor model degradation, and code workflow management. Data scientists can use ML Works to shift their emphasis from managing machine learning and reducing risks to augmenting AI innovations.

"AI only adds value when machine learning models are applied in production, which is why we created ML Works to assist enterprises in making the most of their machine learning investments," said Soumendra Mohanty, Tredence's COO and Chief Innovation Officer. "Breakaway companies around the world are focused on accelerating AI-led innovation and faster value realization, and ML Works will assist organizations of all sizes in making 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 monitors the health of models to minimize bias and spot irregularities, which can be expensive and disruptive for companies that use AI.

"First and foremost, ML Works is intended to help data scientists enjoy greater efficiencies without having to think about monitoring and managing machine learning models in production," said Sumit Mehra, Tredence's Chief Technology Officer. "This cutting-edge platform will speed the machine learning lifecycle, and will be an industry game-changer."

ML Works includes data drift analysis for continuous monitoring of output model accuracy, personalized metrics, and explainable AI to assist non-technical users with model predictions.

Tredence Studio has added more than 30 AI accelerators to its enterprise-wide emphasis on artificial intelligence innovation, allowing clients to manage market shifts and transform ideas into solutions.

About Tredence

Tredence is a data science and AI innovation firm focusing on solving analytics' last mile problem. The 'last mile is described as the distance between the creation of insights and the realization of value. They have over 800 employees and branches in Palo Alto, Chicago, Toronto, and Bangalore. Some of the leading corporations in retail, CPG, Hi-Tech, Telecom, Travel, and Industrials are among their clients.

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