Tomás Pariente Lobo
Associate Head of AI, Data & Robotics Unit, Atos
AI, Data & Robotics Unit at Atos Research & Innovation, Madrid Area, Spain. Tomás Pariente Lobo has more than 30 years of experience in IT. His technical expertise is mainly in Artificial Intelligence, Big Data, Linked Data and knowledge management. Since June 2006 Tomas works as a project manager and technical coordinator for EU-funded projects leading a group of researchers dealing with all aspects related to the data value chain, with special focus on data architectures, data analysis and technologies such as Natural Language Processing and semantics..
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The Data-driven Innovation (DDI) Workshop is based on the (DDI) Framework addressing the challenges of identifying and exploring data-driven innovation in an efficient manner. It guides entrepreneurs in scoping promising data-driven business opportunities by reflecting the dynamics of supply and demand by investigating the co-evolution and interactions between the scope of the offering (supply) and the context of the market (demand) in systematic manner.
In this workshop, business champions, entrepreneurs and interested techies will gain practical experiences of how to use the DDI Framework and Canvas for the continuous analysis of all influencing factors of data-driven business opportunities. The participants of the workshops will get to know a set of methods and tools that will guide them in redefining their own data-driven business opportunity.
We will take the opportunity of this EBDVF workshop to officially launch the DDI canvas site. We encourage you to contact us to assist you in using DDI, to share with us your return of experience to help us to improve the methodology or provide domain specific know how.
The DDI framework was developed and tested in the context of the Horizon 2020 BDVe project and is backed by empirical data and scientific research encompassing a quantitative and representative study of more than 90 data-driven business opportunities. The results of the research study guided the fine-tuning and updating the DDI framework as well as helped to identify success patterns of successful data-driven innovation. Currrently the DDI framework is used to run workshops with PPP projects, data-driven start-ups, SMEs and with corporates. It consists of a
10:00-10:05 Intro. Objectives of the session (Nuria de Lama (Atos)
10:05-10:15 DataBench General Overview (Richard Stevens (IDC, DataBench coordinator)
PART I. Big Data Benchmarking landscape and Big Data Pipelines
10:15-11:15 Session 1. The current landscape of Big Data benchmarks
PART II. Big Data Business Framework and benchmarking tooling support
13:30 Concluding Remarks and closing of the session
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