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Updated by Tredence Inc on Feb 02, 2023
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Tredence Inc Tredence Inc
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Tredence

Unlock the value of your enterprise retail data leveraging AI/ML to maximize growth

Leverage custom full-stack, white box AI/ML driven retail *predictive analytics *and retail customer analytics solutions by Tredence to turn your data into insights, drive top-line growth and bottom-line savings.

Predictive Maintenance | Industrial Manufacturing Data Analytics Company - Tredence

Achieve value across the manufacturing with the industrial analytics solutions by Tredence that optimize predictive maintenance, production planning, sales strategy effectiveness.

Rebooting MLOps with Databricks | Tredence Inc

Do you know the best way to start with Machine Learning is to leverage the Glass Box AutoML provided out of the box from Databricks? Read the blog to know more.

How AI can alleviate the current global Supply Chain crisis

Artificial Intelligence, along with advanced data analytics and automation, optimizes the flow of information and resources in supply chains.

Data Science career in 2022 – A Compact Handbook | Tredence

AI & ML revolution has made data science a highly sought-after field. This compact handbook - 'Choosing a data science career in 2022' will prepare you for success.

MLOps Platform | Machine Learning Operations and Monitoring - Tredence

Leverage Tredence’s Machine Learning Operations (MLOps) platform, ML Works, to revitalize enterprise ML ecosystem, fast track model management and reduce outages.

Customer Experience Analytics - Tredence

Tredence’s customer journey analytics solution, SageCX, enables enterprises to understand the cause and severity of different problems associated with customer experiences.

Manufacturing Data Analytics - Tredence

Tredence AI-powered industrial analytics solutions enable enterprises to optimize assets, improve production efficiency and design innovative products.

MLOps: A Set of Essential Practices for Scaling ML-powered Applications

MLOps is a set of practices for collaboration and communication between data scientists, data engineers, and DevOps professionals. Applying these practices increases the quality of solutions, simplifies the management process, and automates the deployment of machine learning and deep learning models in large-scale production environments.

Tredence, a supply chain analytics solutions provider, help clients build accelerator-driven AI/ML solutions in an agile manner to sense risks and respond appropriately, thereby helping them become more resilient and better respond to risk.

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