Unveiling the AIaaS paradigm

Daniel Calvo

Head of AI, Data & Robotics Unit
Daniel Calvo Alonso

Our mission is to contribute to the digital transformation and digitalisation of the European Industries through the development of innovative applications and services based on value-driven trustworthy AI, Data and Robotics. Our orientation towards the research roadmap aims to ensure the application of these technologies to improve citizens’ lives and exploit their potential to increase industrial competitiveness, considering a human-centric, ethical and trustworthy approach that is fully aligned with the fundamental European values. We aim also facilitate access to specialized resources and their management, creating and adapting new tools and platforms able to use modern computing paradigms


From the perspective of one of the world's largest IT consulting and leader in digital transformation, we are guided by technological ethics to prevent the misuse of data-driven and AI applications and ensure privacy and auditability. Our vision is to research engineering and analysis of large and complex data, with semantic technologies and state-of-the-art technologies such as  Natural Language Processing, parallelizing processing to ease the execution of experiments with transparent access to cloud and HPC; and researching on future technologies such as New Quantum Computing and Future Neuromorphic Computing solutions. The potential of datasets is also exploited thanks to the creation of a platform to unveil the Artificial Intelligence as a Service (AIaaS) paradigm that abstracts the complexity of distributed and heterogeneous infrastructures. To enable added-value applications, our research on Emotional AI, cognitive architectures, and cloud robotics allows the development of transversal technologies and solutions applicable to all verticals.


The expertise of our team makes it possible to cover areas including Machine Learning, knowledge representation and reasoning, search and optimisation, planning, multi-agent systems, NLP, ethics, legal and social issues. Moreover, through the specific research on robotics, we address technological trends such as adaptive and autonomous systems, cognitive robotics, epigenetic robotics, and robotic system safety. Our Unit provides a unique point of contact with the R&D carried out in the AI, Data, Robotics and APC fields in Europe through our participation in the many projects funded under the umbrella of the BDV PPP, engagement with the Big Data Value Association (BDVA), and the European AI on-demand platform (AI4EU).

The team is working in the following key assets:

  • Secure and fair Big Data sharing.
  • Data analytics and AIaaS platforms.
  • Big Data benchmarking.
  • AI-based anomaly detection.
  • Vertical applications and services, e.g., personalized medicine, connected vehicles.
  • Orchestration of AI and data-driven solutions.
  • Intelligent Mission Control Systems for Robotics platforms.


Related News & Events

Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there i

AI for dating stars: a benchmarking study for gyrochronology

In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources

Accurate digital twinning of the global challenges (GC) leads to computationally expensive coupled simulations.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

Building the DataBench Workflow and Architecture

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.

Atos Research & Innovation multiple projects at the EBDVF21

Atos' units and projects will present their latest advances and interact with attendees in real time at the European Big Data Value Forum

SC'21 Supercomputing conference

The Centre of Excellence HiDALGO and HLRS will be participating remotely at SC'21, one of the biggest annual gatherings in the HPC community.

Sodalite Final Workshop

The event targets innovators and researchers, Cloud adopters, policymakers, as well as Cloud initiatives, and open-source proj

Official launch of IoT NGIN website

The IoT NGIN has announced the launch of the project website, available in the following link: https://iot-ngin.eu/. The website will play a key role as the information focal point and delivery channel for the project results.

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Daniel Calvo and Tomás Pariente, both members of the new AI, Data & Robotics Unit, contributed to the paper "An Artificial Intelligence-Based Collaboration A

Kick-off of the Search & Rescue Project

The Kick-Off of the H2020 Search & Rescue (S&R) project officially took place on 21-22 July 2020.

"Big Data challenges in Smart Manufacturing Industry" - BDVA

BDVA's Smart Manufacturing Industry group proudly announces the publication of the second version of the Big Data Challenges in Manufacturing Industry (SMI) Whitepaper.

Project Articles