Atos Launches North American Google Cloud Artificial Intelligence Lab

Atos Artificial Intelligence Lab

The Atos AI Lab in North America is the latest lab and a part of a global network with other labs in LondonParis and Munich

Atos Artificial Intelligence Lab

Atos, a global leader in digital transformation has launched its Google Cloud Artificial Intelligence (AI) Lab at its North American Headquarters in Irving, Texas, as part of a global partnership between Atos and Google Cloud to provide clients and businesses access to the latest analytics technologies.


About the Lab

The Atos AI Lab in North America is the latest lab and a part of a global network with other labs in LondonParis and MunichThe lab is a state-of-the-art facility that combines a digital experience with design thinking methodology to allow participants to problem solve and create in a format that works best for them.

The lab offers an Incubation workshop that aims to create a use-case ready to deploy at the end of two days. To achieve this, real-world customer data is coupled with an Atos-specific methodology to allow the customer to understand the business problem and leave the Atos AI Lab with a clear path on how to solve their challenges using big data and artificial intelligence tools.

“Atos has developed a differentiated experience with its North American AI Lab to provide customers tangible results which they can use to kick-start their AI strategy and take into the field immediately,” said Peter Cutts, chief digital transformation officer, Atos North America.

He added, “Customers are looking for industry-specific solutions for their business needs, not a cookie cutter approach. The Atos AI Lab approach empathizes with end users’ needs and engages multiple stakeholders to deliver real-world code, datasets and solutions that are repeatable and globally scalable.”

The Dallas-area lab offers North American companies the ability to collaborate with Atos and Google Cloud during workshops to better understand artificial intelligence and to help define and design specific use cases using data analytics and machine learning algorithms to enable companies to meet their evolving business needs.