Driving business outcomes with data in the cloud
Agile and prioritized insight delivery
Early value during project lifecycle
Meaningful metrics meant for action
Driving decisions with data to improve results
Artificial intelligence and machine learning take decision making to a new step to deliver optimal business actions and results. Atos Cloud Data Analytics solutions leverage AI and ML to simplify, automate and monitor data exploration.
At Atos, we offer a breadth of services to properly create the foundations of your AI/ML initiatives:
- Cloud readiness, data quality and data platform assessments,
- Data architecture design to efficiently distribute data to analytics tasks in the cloud,
- Ingestion, streaming and staging of data to address industry-specific problems with cloud technologies.
Outcome as a Service
Our consultants specialize in low-risk and low-cost business models to improve adoption and value through:
- A solution-design process that delivers measurable, attainable outcomes
- Tools that simplify, automate, monitor and ensure adoption as well as outcome orientation
AAAAAA is a national federation of motor clubs in the United States and Canada providing automotive services to its members. Atos Maven Wave has developed an end-to-end data warehousing solution using Google Cloud Platform to provide integrated data and analytics for membership and service interactions.
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T-MobileAtos worked closely with T-Mobile Netherlands to develop a new chatbot which delivers a modern and more personalized and intuitive customer care experience, with faster insights into customer data. It will be connected to T-Mobile Netherlands' customer website and social media channels, as well as to customer and product databases.
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ABinBevAnheuser-Busch InBev SA/NV (AB InBev) is a multinational drink and brewing holdings company. Atos Maven Wave integrated Google Maps, Places and AB InBev market data to define customer segments and prioritize sales efforts using a variety of geospatial and machine learning techniques.
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5 Critical Components for Assessing the Quality of Enterprise Data
One of the most vital business lessons to derive from the ongoing global pandemic is the importance of data quality. These five critical components of quality enterprise data offer a helpful guide.
Chief Innovation Officer, Atos Cloud Enterprise Solutions
Partner, Cloud Advisory, Maven Wave, Atos Cloud Enterprise Solutions