Giovanna Galasso is a Director at PwC with 20 years of significant experience in the management of large-scale consultancy and research projects, especially in the fields of design, implementation and evaluation of digital policies, technological innovation, digital transformation, eGovernment and digital societies. In the area of Artificial Intelligence she has recently coordinated the project for DG CNECT to set up Digital Innovation Hubs Network with a focus on AI and was involved in a project for EFSA and its sister European agencies entitled “Joining Forces at EU level on the Implementation of AI ” including a AI state of the art analysis and definition of AI Roadmap. She will be involved in three new funded H2020 projects on AI: VISION, the coordination action of the networks of European AI excellence centres; ETAPAS which aims at introducing a practical framework, supported by a prototypical platform, to offer a first-time assessment methodology capable of measuring and mitigating ethical, societal and legal risks of the application of Artificial Intelligence in public sector organisations; AI4DIH aimed at building a network of AI-on-demand innovation and collaboration platforms, interoperable with the pan-EU AI4EU platform supporting joint development and provision of ecosystem-business-technology-transformation services through a sustainable network of regional DIHs specialized in AI and targeting local SMEs.
Giovanna is speaking at
In the next Multiannual Financial Framework (MFF) 2021-2027 of the EC, Artificial Intelligence (AI) is one of the three main technological pillars of the Digital Europe Program (see the AI Data and Robotics Partnership website). In the Spirit of Digitising European Industry communication of 2016 and with the major aim to support SMEs in their Digital Transformation pathways, Digital Innovation Hubs (DIH) initiatives have been created on a regional basis and have followed recently a very prosperous evolution in H2020 and in the EC Catalogue. The recent EC Data Strategy has finally identified in the (smart) Manufacturing Industry (SMI) one of its nine main vital economic sectors where to materialize the EU Data Economy model.
The session will host leading edge experts and organizations that in the recent years have contributed to the independent success of the three domains (AI, DIH, SMI), striving to achieve a common scientific, technological, business and social ground from where to develop the coming MFF in the next seven years.
The session aims at defining the state of play, identifying opportunities and challenges and finally envisaging lessons learned and recommendation for a full deployment and adoption of AI applications in the SMI and in particular in its SMEs through dedicated DIHs Networks.
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