Drive business growth with data management and artificial intelligence

What is Artificial Intelligence?

AI becomes transformative when it’s applied intentionally across your enterprise. It’s reshaping business models, organizations and processes across industries. The challenge is putting AI to work to increase business value, improve customer experiences and create differentiation, while staying secure, compliant and responsible.

Whatever your AI questions or concerns, Atos can help. AI solutions, consulting and operations support growth and evolution with AI without increasing risk. GenAI is integrated into existing workflows to free up time for higher-value work. With agentic AI, autonomous systems of agents help automate business processes.

On the operational side, we provide AI testing solutions, provisioning of AI models on edge and IoT infrastructure, as well as comprehensive and scalable MLOps and GenOps services. Our Responsible AI practice ensures fairness, inclusion and balance developing and deploying AI systems.

2,000+

Experts

170+

Customers

12

Global delivery centers

What it means for you

AI-driven automation

Streamline business processes with machine learning and predictive analytics to improve workflows and decision-making.

Conversational AI

Improve customer engagement with NLP and machine learning, enabling seamless automated interactions across channels. Workflows, chatbots and virtual assistants can be enhanced with LLMs and domain-specific capabilities.

Generative and Agentic AI

GenAI and agentic AI support innovation, decision-making, automation and scalability. Autonomous systems of AI agents help automate automation itself.

AI testing

Support reliability, fairness and performance of AI systems. AI testing can also improve software quality using generative AI to automate test creation and execution for smoother integration.

Edge AI

Enable real-time processing and decision-making on edge devices to improve performance, scalability and IoT sensor integration. Federated learning supports local model training.

Responsible AI

Support ethical AI deployment by addressing bias, transparency, compliance, data privacy regulations and inclusivity. This helps ensure AI models are explainable and aligned with regulations.

AI Factory

Streamline AI deployment, monitoring and management with automation, governance and scalability. End-to-end ML lifecycle management and CI/CD pipelines support model training and deployment.

How we make an impact

Rabobank

Enhancing responsible AI at Rabobank

After an assessment of the bank's Al practices for EU Al Act compliance, we identified improvements and created a roadmap. In just three months, we implemented XAl-by-design, developed training programs, and established transparency guidelines, enhancing model quality and decision-making for over 100 employees.