Sector Specific Task Forces Archives - BDV Big Data Value Association

Telecom

nimdabdva — Sat, 23 Sep 2023 07:32:29 +0000

Telecommunication infrastructure and specifically 5G applied in various industrial sectors plays an important role in keeping/gaining European leadership in different industrial areas (e.g. industrial automation, healthcare, self-driving cars, …), but also in different technological areas (e.g. edge/fog computing, ultra-reliable low latency communications, massive machine communications, …).

Telecommunication infrastructure as a connector between various industrial sectors (e.g. 5G, Industry 4.0, self-driving vehicles), enables the usage of data across industrial sectors. A large amount of data will be available by the usage of telecommunication infrastructure in different industrial sectors. Artificial intelligence (AI) will be one fundamental technology enabler for the upcoming 6G technology.

The Task Force Telecom is meant to get in contact with other European initiatives relevant for this sector and BDVA task forces and boost collaboration. Its activities investigates privacy preserving mechanisms to make privacy sensitive data available and collaborates with the TF Data Protection.

During 2025, the Task Force is focused on:

The transformative impact of AI and data-driven innovation on the telecom sector. Telecom operators are increasingly leveraging AI and data technologies to enhance the value-added services they provide on top of their network infrastructures, positioning themselves as service integrators.
The added value of AI- and data-enabled services as part of telecom operators’ offerings.
The telecom sector’s role in enabling edge connectivity to support the seamless integration of IoT across the computing continuum.
The contribution of telecommunication networks to connectivity within data spaces and digital ecosystems.

To this purpose, the Task Force aims to create a vibrant community around data and AI applied to telecom, fostering participation of members, attracting experts in the field and involving key actors, in order to establish a core group to address the proposed topics and work towards these objectives.

BDVA’s Task Forces meet regularly, discussing the latest updates from the ecosystem, collaborating on publications and organising events. Check out BDVA’s activities and make sure to stay tuned!

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Smart Manufacturing Industry

nimdabdva — Sat, 23 Sep 2023 07:32:14 +0000

The Task Force Smart Manufacturing Industry has a specific focus mainly in the B2B area, which is distinguished in different areas:

Smart Factory: applications for better information within a company;
Smart Supply Chain: applications between suppliers and producers/manufacturers in a chain (e.g., e-PLM);
Smart Product Lifecycle: applications giving data about the use of a product or service.

The TF’s goal is thus to create an exchange of views, so that BDVA members can better understand what activities are running in EU and within the different countries and can learn from the experience of each other. This early exchange will lead to innovations that are better tailored to real needs. Additionally, by identifying and comparing initiatives and results in the various member states, the BDVA can formulate overall insights on the state of the art in Smart Industry, thereby identify the future challenges to be addressed and provide input for policy-making in the EU.

The Task Force Smart Manufacturing Industry is currently focused on:

Generative AI and Agentic AI architectures, analysing their transformative impact on manufacturing by enabling intelligent, autonomous systems that enhance productivity, innovation, and adaptability.
Data Spaces and Digital Product Passport (DPP) convergence, promoting data interoperability and circular economy practices while improving transparency and traceability across supply chains.
Product-Process-Human Digital Twins, supporting the evolution from Industry 4.0 to Industry 5.0 by integrating real-time monitoring and human-system collaboration to optimize production and enhance worker safety.

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Smart Governance and Smart Cities

nimdabdva — Sat, 23 Sep 2023 07:31:58 +0000

Within the Smart Governance and Smart Cities Task Force, it is examined how big data can help Governance in Public and Private sectors to become smarter supporting effective and better decisions and policies based on evidence and insights. Big Data analytics will represent one of the main instruments for business decision-making worldwide and, at the same time, it can be leveraged for boosting productivity and improve the efficiency and effectiveness of governments – at all levels – which implies a positive impact on the whole economy.

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Security

nimdabdva — Sat, 23 Sep 2023 07:31:42 +0000

The current challenges and priorities in the field of security require the construction of a cohesive and strategic landscape that delivers interoperable and trustworthy solutions that uphold ethical and societal values to tackle cyber, physical and hybrid threats across Europe.

In this scenario, the state of play in the areas of Big Data, AI and HPC will significantly contribute and play a pivotal role in the deployment of the EU Agenda on Security for fighting crime and ensuring fundamental rights. This Subgroup can steer the roadmap to reduce fragmentation and promote a harmonised environment that fosters practitioners’ trust and long-term AI innovation, adoption and uptake. The BDVA Security Task Force will ensure that innovative, sustainable, efficient, data-driven AI-based solutions for a more secured society for Europe’s citizens take into account the challenges posed by the wide adoption of AI in the domain of security and its impacts on democracy.

Therefore, the Security Task Force will promote a human-centric approach to AI for security that is:

Responsible (meeting societies’ needs, eliminating or mitigating the negative impacts, encoding ethical values);
Explainable (transparent and understandable processing and decision-making processes, reinforcing the admissibility of any resulting evidence in court);
Trustworthy (upholding all applicable laws and regulations, respecting ethical principles and values, technologically robust), and
Accountable (enabling the assessment of algorithms, data and design processes), in accordance with existing ethical frameworks and guidelines compatible with the EU principles and regulations.

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Mobility and Logistics

nimdabdva — Sat, 23 Sep 2023 07:31:29 +0000

The scope of the Task Force Mobility and Logistics is to bring together experts for bringing innovative knowledge relating to big data within the mobility and logistics domain and to create the necessary collaborative environment to assist its dispersion. Attendants and contributors are invited to contribute via a participatory process leading to results without forceful policies to improve the current situation.The areas covered are:

Personal Mobility – (Mobility as a Service (MaaS)), Integrated multimodal transport solutions/ticketing for urban and long-distance journeys. Data privacy, data sharing (between public and private operators) and prediction of user needs and behaviour are crucial for this sector.
Logistics (Physical Internet particularly focusing on E-commerce, Omni-Channel supply chain, Urban logistics, Data market for collaborative logistics, Horizontal collaboration cases) checking also on energy efficiency matters i.e. minimize pollutant emissions in the transportation sector policies that encourage shifts to cleaner modes of transport and reduce the need for travel.
Automotive (Electric, Connected, Autonomous Vehicles). Data Privacy, Security (closely related to data), and new services (such as booking of charging spots, smart charging, eRoaming, real-time image acquisition and others) are representing new challenges and opportunities based on big data.

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Media

nimdabdva — Sat, 23 Sep 2023 07:31:16 +0000

The objective of the Task Force Media is to give visibility to media within the BDVA community.

The main idea is to collect the requirements and challenges from media in the context of the new AI PPP and get media into the focus of future European data and AI calls, or to successfully connect BDVA with the corresponding units for media specific calls. One of the specific goals in the context of the new partnerships and alliances is to put together a white paper on the concept of shared media data spaces.

The task force aims to connect with related workshops in order to collect input and share experiences. Overall, the goal is to strengthen the presence of media companies in the BDVA community.

During 2025, the Task Force will focus on:

Data ecosystems in the media sector: as media is one of the sectors targeted by the European Common Data Space, unlocking the potential of data use and reuse through tangible use cases has become a key objective. In recent years, data sharing and the development of data spaces in media have emerged as central topics.
AI as a transformative technology in the media sector: Artificial Intelligence continues to be a major driver of change in the media sector. Notably, Cultural and Creative Sectors and Industries is one of the 14 targeted verticals in the GenAI4Europe program, highlighting the strategic relevance of AI for media innovation.

The Task Force aims to build a vibrant community focused on data and AI applications in media. It seeks to foster active member participation, attract domain experts, and engage key industry players and projects. Additionally, the Task Force will leverage members’ involvement in relevant initiatives (e.g., TEMS) to promote knowledge exchange and collaboration on these strategic topics.

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Healthcare

nimdabdva — Sat, 23 Sep 2023 07:31:08 +0000

The Task Force Healthcare brings together experts from the health and care sectors.The goal is to create a platform and a network of collaboration within the BDVA community to identify key technologies and research trends, such as the use of synthetic data in the healthcare domain. The Task Force has also links to the pharma and drug development fields.

The Task Force Healthcare is currently focusing on:

Contribute to the research on synthetic data use in the healthcare domain;
Support the knowledge dissemination and compliance with the European Healthcare Data Space;
Include healthcare topics into partnerships, research programme and alliances;
Support alignment between Horizon Europe and Digital Europe program for Healthcare related topics;
Improve the adoption of AI and Big Data in healthcare through the exchange of knowledge and best practices.

BDVA’s Task Forces meet regularly, discussing the latest updates from the ecosystem, collaborating on publications and organising events.

Check out BDVA’s activities and make sure to stay tuned!

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Finance

nimdabdva — Sat, 23 Sep 2023 07:30:58 +0000

Financial Technology (FinTech) and Insurance Technology (InsurTech) are rapidly transforming the financial and insurance services industry due to digital transformation. In the finance industry, the digital transformation is not acting on a product, rather on services and the processes used in the “manufacturing” of these services. AI has disruptive role as it is the one analyzing data, evaluating risk and perspectives, and enabling more intelligent and automated processes, along with personalized services that are tailored to customers’ needs.

The creation of the Task Force Finance within the BDVA environment could bring added value to the community as know-how and relevant partnerships in the Financial Sector. On the other hand, the technologies used in Fintech and InsurTech may find valuable insights from BDVA as well as gaining relevant information on how to manage datasets reliably and accordingly to regulations and requirements.

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Energy

nimdabdva — Sat, 23 Sep 2023 07:30:47 +0000

The Energy Task Force brings together stakeholders from the very large diversity of actors involved in the energy value chain. Their activities and interactions on physical equipment and services that enable the functioning of this value chain generate a huge amount of data. These data must be mobilised and exploited to respond to the socio-economic stakes of the energy transition and environmental challenges.

The current physical grid, that supports the energy value chain from its production through transmission, distribution and commercialisation to customers, will move from a purely electro-mechanical approach to connected assets to a highly intelligent and connected form offering intelligent services in the cloud and at the edge that will rely on advanced equipment connectivity to exploit data in a holistic manner.

Nevertheless, in order to get most of this data we need to ensure data interoperability and trust between these different actors from the energy value chain. Thus, a consensus amongst these actors is needed to define and develop existing standards (such as GAIA-X and IDS) to ensure data interoperability and trust. This TF Subgroup can foster the adoption and development of such standards by putting together different actors from the energy value chain.

The BDVA Task Force Energy is currently focused on:

Identify how Data and AI can support existing industrial cases for the energy market.
To facilitate the technological adoption of AI and Data on energy market operations. The real-time energy market, grid balancing, and forecasting markets with complete or partial energy models.
To provide clear views on AI-powered innovation for existing market gaps. By analysing the AI’s role on several energy markets, understanding the potential contributions and gaps on industrial demand response, energy efficiency, adaptative pricing strategies (DER, P2P) and local flexibility markets.

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Earth Observation & Geospatial

nimdabdva — Sat, 23 Sep 2023 07:30:38 +0000

The Earth is facing unprecedented climatic, geomorphologic, environmental and anthropogenic changes, which require observation and monitoring at local, regional, continental and global scales, thus resulting in a multitude of new orbital and suborbital Earth Observation (EO) sensors. Therefore, Earth Observation (EO) data volumes are increasing at a rate of several Terabytes a day.

Not only the data volume represents a challenge, but also the varieties of sensors (acquiring the data) and data formats. Also, it is considered that EO data is far from being fully exploited at present. In this context, the more efficient exploration of data and the timely delivery of meaningful extracted information become a major challenge. The result consists in continuous developments in hardware and software, for multi-temporal data analysis, data management and information extraction technologies.

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