Jean-Christophe Pazzaglia

BDVe Project Manager, SAP

Dr. Jean-Christophe Pazzaglia is Chief Support Architect Higher Education & Research and managed the Big Data Value ecosystem project and is leading the pilot AI4Citizen in the AI4EU project. Jean-Christophe is Design Thinking coach and SAP Labs France Digital Studio Engagement Lead. Former director of the SAP Research Center Sophia Antipolis – France managing the team focusing on Security Engineering, he was the principal investigator for SAP of numerous research projects of the French and EU framework programs. Complementary, within SAP University Alliance, he is giving seminars, teaches and co-developed the OpenSAP lecture on Scratch for teenagers within the corporate Social Responsibility initiative at SAP (Europe/Africa Code week. Outside work he likes skiing, sailing, cooking and good wine bien sûr.Jean-Christophe holds a Ph.D. from the University of Nice-Sophia Antipolis (1997) and graduates the Essentials of Management program of University of St Gallen (2009).

Jean-Christophe is speaking at

Focus Track 3 - Market uptake: Bringing AI and Data Sciences to Practice
November 3, 2020
3:30 pm - 5:30 pm

Speakers

Description

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[1] 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

  • The DDI Canvas guides you in exploring all relevant dimensions on the supply and demand side of a data-driven innovation in systematic manner.
  • The DDI Navigator will support you in exploring each dimension in more detail by carefully selected deep dives.
  • Specific DDI Tools will help you to work through each of the eight DDI dimensions, producing a conclusive set of results that will guide a company-specific setup of new, data-based products and services.
The DDI Framework is based on a conceptual model in form of an ontology with a set of categories and concepts describing all relevant aspects of data-driven business opportunities. Its categories are divided into supply side and demand side aspects. On the supply side the focus is on the development of new offerings. For a clearly defined value proposition, this includes the identification of and access to required data sources, as well as the analysis of underlying technologies. On the demand side the focus is on the dynamics of the addressed markets and associated ecosystems. The analysis includes the development of a revenue strategy, a way forward of how to harness network effects as well as an understanding of the type of business. As data-driven innovations are never done in isolation, the identification and analysis of potential development partners as well as partners in the ecosystem help to align / balance the supply and demand aspects in a way that its competitive nature will stand out. 

General track
November 5, 2020
9:00 am - 10:00 am

Speakers

Description

BDVe project and BDVA have organized  this year the second edition of the Best Success Story (BSS) contest. The objective of this activity is threefold: 1) to promote and give visibility to the results produced by PPP projects or BDVA SMEs, 2) to present them in a way that could be better understood by a wider audience, and 3) to support them in how to present those results in in an entertaining, fun and constructive way. This year, 18 stories from 9 projects and 5 SMEs have been received, and results have been recently announced (see all information at: https://www.big-data-value.eu/best-success-story-award-2020/finalists/). During this session, we will present winners and runners up on the different categories, allowing them to share with the audience their respective success stories.

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