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Suitable technology and infrastructure for analytics operations

Data assets are stored and made accessible for analytics operations through infrastructure that is suitable to achieving your business objectives.

Engineering, Infrastructure, & Operations

A well-designed and implemented infrastructure 

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Data engineering instruments and captures data from your organization's processes and stores it within appropriate infrastructure to be accessible for analytical and organizational purposes.

Like constructing a building, Data Science, Machine Learning, and Artificial Intelligence solutions need a solid foundation and must be built on top of the available materials (data) available.  Our Engineering, Infrastructure, and Operations team paves the way for you to work with transparent, accessible, timely, and reliable data. 

This includes Data Engineering, MLOps (Machine Learning Operations) and support functions such as:  production engineering, orchestration, observability, infrastructure tuning, and managing model lifecycle.

Robust data infrastructure operations are the structure for data democracy and advanced analytics! This is critical to the end-to-end success of your Data and Analytics Center of Excellence!

Don't underplay these final crucial components to realizing the value you're striving to achieve!

 

By 2025, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI, up from fewer than 10% in 2020.

 

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NorthStar Solutions Group is pleased to operate as a virtual company, enabling our team of professionals to help you wherever you are. We are dedicated to supporting your needs and to delivering on your goals.