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SAS® AI Team Builder

Predicting Demand

Demand for cash at ATM machines can be predicted.

Convert valuable ATM usage and customer behavior data into a daily, weekly and even monthly execution plan, allowing for optimal reloading at non-peak times.

Meet Your Team

Data Engineer

Data preparation ensures the quality, depth and breadth of data. Data engineers are responsible for defining and implementing the integration of data into the overall AI architecture. 

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Data Scientist

Data scientists covers a broad spectrum of analytical techniques, reaching from statistics, forecasting, machine learning and optimization.

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Business Analyst

Business analysts use results from the data science models and often act between the business users and the machine learning team.

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Business User

Business users apply the results from analytics into the daily work using reports and visual analytical tools.

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IT Expert

IT takes care of the data storage, security and governance. As well as, managing architecture, systems and database access.

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Team Leader

The team leader manages the AI team.



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Industry Applications for AI

Practically every industry has something to gain from artificial intelligence and machine learning. Explore how SAS solutions with embedded AI capabilities are already helping industries such as banking, government, retail, manufacturing, and health care and life sciences unlock new possibilities.

Forecasting ATM cash demands

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