AI is emerging as an essential performance driver for industry: predictive maintenance, production optimisation, automated quality control, real-time inventory management, etc. The promises are numerous. But between strategic vision and operational reality, integrating AI into factories raises a number of challenges. How can we adapt infrastructures that are often heterogeneous or ageing? What data should be collected and how can it be used effectively? How can we guarantee interoperability with existing systems, while ensuring data security and sovereignty? How can we comply with regulatory frameworks (AI Act) and define responsibilities when AI is used in critical environments? How do you train your teams and maintain the employability of your employees? These are all key factors in ensuring an effective transition from experimentation to scale-up.

After taking over the industrial world, robotics is now entering a new era: that of services. Hospitality, logistics, healthcare, cleaning, security, catering, personal assistance… robots are leaving production lines to accompany, assist and sometimes even replace humans in everyday tasks. Which industries are currently building (both literally and figuratively) this new robotic workforce? What skills are required in these hybrid value chains combining electronics, AI, human-machine interfaces and design? What are the prospects for robotics engineers, start-ups and laboratories, but also and above all for the user sectors? And how can we anticipate the social, regulatory and ethical impacts of this automation of service professions? A deep dive into the new world of services.

At the heart of industrial transformation, the convergence of IT and OT systems is redefining production and plant management models. This integration is paving the way for a more agile, more connected industry, but it rests on a foundation that is as strategic as it is complex: data management. How can we effectively collect, structure, secure and exploit data from heterogeneous, often siloed and historically separate environments? What tools and architectures are needed to ensure that information flows smoothly and reliably between the field and the analysis systems? And above all, how can this mass of data be transformed into operational value, without compromising (cyber)security or digital sovereignty? As a critical issue, data management is central to the modernisation of production tools.

Attacks on security equipment at the edge of information systems, targeted ransomware, sophisticated phishing attacks, attacks on supply chains, theft and leakage of sensitive data, exploitation of vulnerabilities in everyday tools: the cyber security landscape is changing fast, driven by the increasing professionalism of cyber criminals and the proliferation of attack vectors. Cyber threats now come from everywhere and spare no-one: from very small businesses to major groups, including public authorities, healthcare and higher education establishments, no organisation is immune. Whatever its size, business sector or level of digital maturity. Against this backdrop, how can you anticipate tomorrow’s cyber attacks, strengthen your organisational resilience and ensure that cyber security becomes everyone’s business?

Endrich’s E-zeroBatteryZone® product family introduces battery-free, ultra-low power wireless smart sensors powered by indoor light using Dracula Technologies’ organic photovoltaic (OPV) cells and Ligna Energy’s eco-friendly supercapacitors. These devices integrate into the E-IoT ecosystem and use NeoCortec’s NeoMesh protocol to form scalable, self-healing mesh networks. In 2025, the platform expands with NeoMesh on LoRa®, combining ultra-low power consumption with extended range via LoRa modulation. Ideal for long-range, low-density applications, the system enables 24/7 autonomous operation without maintenance. These cutting-edge innovations debut at leading exhibitions in 2025, such as SIDO in Lyon, showcasing Endrich’s commitment to sustainable and future-proof IoT networking.

Artificial intelligence, robotics, connectivity solutions, space, cybersecurity, social networks, data management: from raw materials to electronic components, from hardware to software, from infrastructures to media… in all areas of tech, the United States and China are engaged in a race for speed and power that is monopolising resources (material, human and financial) and leaving little room for other ambitions and strategies. In its role as regulator, Europe is trying to lay down the rules for more ethical, sustainable and fair competition. A regulatory framework that should make it possible to regain control of the governance of technologies, create the conditions for digital autonomy and give European players (public and private) the means to lead the battle for innovation. So, faced with Donald Trump’s United States and Xi Jinping’s China, can Europe restore the balance of technological power?

Against a backdrop of energy tension and the transition to a more energy-efficient industry, intelligent sensors and edge computing are becoming key allies in the real-time optimisation of energy consumption. By combining fine-grained data capture and local processing, these technologies enable more responsive, more autonomous control that is better adapted to local constraints. But how do we move from intention to implementation? What types of sensors should be deployed, and for what uses? How can Edge computing ease the pressure on networks while guaranteeing rapid decision-making? And above all, how can these components be integrated into industrial environments that are often complex, heterogeneous and even ageing? Making better use of their energy data wherever it resides: a key challenge for combining energy efficiency, operational performance and digital agility.

Artificial intelligence is no longer limited to algorithms confined to the cloud or digital interfaces: it is increasingly embodied in machines capable of acting, interacting and adapting in the physical world. This is the emergence of Physical AI: a new frontier where AI and robotics converge to give rise to autonomous, mobile, perceptive and intelligent systems. From digital twins to surgical robots, humanoid robots and autonomous vehicles, Physical AI gives machines the ability to understand and master the laws of the real world. It enables machines to learn, adapt and interact with their environment in an autonomous and realistic way. Laying the foundations for a future where intelligence is no longer just virtual, but embodied. So how is AI profoundly transforming the physical capabilities of machines? What are the technical challenges involved in making AI work in real time in uncertain environments? What hardware and software architectures enable this autonomy in the field? And what are the concrete impacts for the sectors (industry, logistics, health, services)?

Europe’s cybersecurity regulatory landscape is expanding at a rapid pace: the NIS2 directive for critical sectors, the DORA regulation for the financial sector, the Cyber Resilience Act (CRA) for digital products, etc. These reference texts impose new obligations in terms of resilience, transparency, governance and security. But between legal complexity and operational impact, companies often struggle to turn these requirements into concrete action plans. Common points, specific features, upcoming deadlines: how do these three major regulatory pillars affect organisations’ cyber resilience strategies? What are the essential steps for compliance? How do these requirements fit in with existing cyber security systems? What are the new responsibilities for managers, CIOs and technology suppliers? Here are some answers, to help you move from a reactive approach to a controlled compliance strategy.

What if it all started with… a simple after-sales service request? In this interactive interview-style workshop, discover how Polytropic, a manufacturer of heat pumps for swimming pools, transformed a non-connected product into a real lever for digital transformation. Go behind the scenes of a project where the IoT was not a technological end in itself, but the starting point for a global strategic change: overhaul of customer support, new UX interfaces, ERP integration, remote supervision, distributor empowerment and brand upgrading. The result: more than 70,000 connected heat pumps deployed worldwide, a robust and automated 4G/Cloud infrastructure, stronger growth (even during a recession), an enhanced business model and increased international market share. A look back at a success story where IoT has triggered a profound business transformation.

Generative artificial intelligence is revolutionising the way we work, but it also raises new challenges in terms of security and data protection. This workshop will shed light on the emerging risks associated with the use of AI, as well as concrete levers to address them. Through use cases and demonstrations, you will discover how to implement an effective data security strategy within your organisation. This session will also be an opportunity to discover our latest innovations, such as Data Security Posture Management for AI, which provides visibility into user interactions with generative AI applications and recommendations for security policies to implement to improve your security posture.

In a rapidly changing industrial world, where innovation, sustainability and competitiveness have become imperative, design is emerging as a major strategic lever. Going far beyond mere aesthetics, placing design at the heart of industrial challenges means that highly differentiating aspects can be addressed right from the design phase: consideration of uses, life cycle analysis and environmental impact, and consideration of {cyber}security issues (security by design). How is design transforming industrial production methods, relationships with users and economic models? What role do designers play in multi-disciplinary teams, and how do they reconcile creativity, technical constraints and security issues? A central role, often underestimated, in industrial competitiveness and resilience.

What if the IoT did away with batteries? Driven by advances in ambient energy recovery (light, thermal, kinetic, radio frequency, etc.) and ultra-low-power communications, the Ambient IoT is paving the way for a new generation of connected objects that are autonomous and invisible. Self-powered sensors, smart labels, ubiquitous networks: this discreet but profound revolution is redefining the paradigms of connectivity, with major impacts on logistics, health, industry and smart cities. With less maintenance, greater sustainability and an unprecedented mesh of our physical environment, the Ambient IoT offers technological promise, meets industrial challenges and brings new uses to the fore as we move towards a future where objects communicate wirelessly… and without batteries.

Against a backdrop of accelerating digitalisation and increasingly sophisticated cyber threats, the question is no longer whether an organisation will be targeted, but when and how. SMEs and SMIs in particular are on the front line when it comes to cyber attacks, which are often targeted precisely because they are less prepared than large companies. Yet it is possible to protect oneself effectively without mobilising resources that are out of reach. It all starts with a clear understanding of your exposure to risk. That’s why cyber risk analysis is becoming an essential step in anticipating vulnerabilities, prioritising security actions and strengthening resilience. How can we put in place a practical approach to assessing exposure to cyber threats? What are the tools and methodologies for identifying the relevant risks? How can technical issues be translated into strategic decisions? What practices should you adopt to build a clear, actionable risk map tailored to your sector? Discover the keys to moving from a reactive posture to a genuine culture of proactive risk management.

Pony.ai has developed high-performance, automotive-grade domain controllers with scalable computing capabilities based on the NVIDIA DRIVE Orin-X platform, targeting autonomous driving, robotics and automation. By actively expanding product boundaries, these solutions are now deployed across last-mile delivery, urban logistics, autonomous sanitation, and other unmanned driving scenarios, ensuring safe and reliable operation of end products.

Long-life devices face a double threat: software erosion and evolving hardware platforms. Quick fixes and outdated architectures make products vulnerable, difficult to maintain, and impossible to upgrade safely. But hardware migration isn’t just a challenge—it’s an opportunity to do better. In this joint conference by Witekio and Avnet Silica, discover how to clean up legacy code, rethink your architecture, and align your next hardware with security principles from the ground up. Learn how to recognise the signs of ageing software, leverage trusted hardware to strengthen security, and refactor without blowing up your roadmap. Practical tools, proven frameworks and real-world experience: everything you need to make your next transition a success.

Which, AI or quantum, will save the planet? The list of (very real) problems that these two technologies could solve grows longer every day. Among them: finding more efficient or less rare materials for batteries, helping to capture CO2 more effectively, identifying less energy-intensive methods for synthesising the ammonia needed for fertilisers, and so on. And to achieve this, we need to take up nothing less than one of the greatest challenges facing science: modelling the interactions between atoms and molecules‘, explained the newspaper Le Monde earlier this year, in an investigation devoted to the ’match” between these two seemingly distinct, but profoundly interconnected sciences. How can AI algorithms take advantage of the power of quantum computing? How can machine learning methods help to optimise quantum architectures? Should we think of these technologies as two competing forces or as complementary particles destined to evolve together?

In an industrial sector undergoing rapid change, keeping track of projects is becoming a real challenge: scattered tools, poorly aligned teams, tight deadlines, demands for agility, and more. During this workshop, you will discover how the Motul Group manages its industrial projects more efficiently with Asana by improving coordination between teams and functions, automating processes to free up time without compromising flexibility, gaining visibility to better manage complexity, and preparing for the integration of AI into its industrial processes. This workshop offers concrete feedback enriched by a live demonstration, designed for industry players.

The integration of AI into embedded systems is gaining momentum, driven by promises of autonomy, optimisation and real-time adaptation. However, between limited computing power, energy constraints, safety requirements and development costs, porting AI models to embedded architectures poses real challenges and involves real optimisation choices, and even compromises on expected performance. So how can we clearly analyse the cost/benefit ratio of AI in embedded systems? In which cases is its integration really justified? What trade-offs need to be made between performance and consumption? How can the return on investment be assessed according to the applications (industrial, automotive, aeronautics, IoT, etc.)? These are all questions that need to be answered in order to make informed decisions about the future of your intelligent systems.

Faced with the challenges of relocation, competitiveness and labour shortages, robotics and cobotics are emerging as key drivers of reindustrialisation. Far from the fantasy of total automation, these technologies are becoming flexible, intelligent and collaborative tools capable of adapting to the realities of modern workshops, particularly in SMEs and mid-cap companies. Improved productivity, reduced drudgery, increased quality and adaptation to increasingly customised production: what roles do industrial robots and cobots play in the transformation of production lines? What are the conditions for successful robot deployment? How can robots be integrated into a human environment without disruption? What are the real gains in terms of costs, agility and resilience? Can intelligent robotics be a concrete catalyst for rebuilding a more modern, efficient and human industry?

Quantum computing, still in its infancy, already poses a credible threat to the traditional cryptographic algorithms on which information system security is based. Faced with this prospect, post-quantum cryptography (PQC) is no longer a theoretical possibility: it is becoming a strategic imperative to protect today the data that must remain confidential tomorrow. Algorithms currently being standardised (NIST), performance and implementation challenges, constraints for integration into existing systems and transition timelines for businesses and government agencies: is quantum-resistant cryptography technically and operationally ready? Discover the cryptographic changes that must be made without delay, or risk exposing critical infrastructure to future threats today.

The value of Threat Intelligence in SIEM and SOC environments is well established. But did you know that this flow of information, which plays an essential role in anticipating, detecting and neutralising cyber-attacks, can also enhance the capabilities of your Next Gen firewalls?

Discover why FillnDrive, an innovative start-up specialising in hydrogen refuelling solutions for electric vehicles, has chosen to manufacture its hardware in France. In collaboration with Altyor, an expert in the design and production of electronic devices, we will explore the strategic and operational advantages of this choice. Why France? There are many reasons: manufacturing quality, access to a dynamic industrial ecosystem, support for local initiatives, etc. This choice also reduces production and delivery times, promoting innovation and competitiveness. By participating in this workshop, you will discover how collaboration between a start-up and an industrial company can transform an idea into a tangible, high-performance product.

Predictive maintenance, process optimisation, automated quality control and supply chain improvement: AI is establishing itself as an essential driver of innovation in industry. However, despite its promise, AI still raises serious questions about its reliability, transparency, robustness and real added value in critical environments. Can we trust algorithms that are often perceived as opaque? How can we guarantee their performance in real-world conditions, far removed from idealised data sets? Who is responsible in the event of failure? And how can intelligent automation be reconciled with human expertise? Current limitations, explainability issues, model validation and best practices for deployment: how can manufacturers harness the potential of AI without sacrificing control, security or trust?

Collaborative robotics is rapidly growing in sectors as diverse as logistics, industry and healthcare. By enabling direct interaction between humans and robots, without cages or isolation, it opens up new possibilities in terms of efficiency, flexibility and reduced drudgery. But how can cobotics be used properly? What are the real benefits? What are the pitfalls to avoid in terms of ergonomics, safety, acceptability and return on investment? How can tools be adapted to real needs on the ground without giving in to fashion trends? While many industries have successfully integrated these new tools into their processes, is it always appropriate to transfer them to other sectors? Sharing experiences.

Connected objects, smart sensors, data platforms: the IoT has established itself as a catalyst for transformation in many sectors, from industry to energy, logistics and construction. But behind the technological promises, the success of an IoT project depends above all on a rigorous methodology, a suitable architecture… and careful anticipation of pitfalls. Sensor selection, connectivity, data management, cybersecurity, maintenance, interoperability, environmental impact: what are the best practices for designing, deploying and scaling an IoT project? Discover how to approach the IoT, not as a gadget experiment, but as a robust lever for performance and value.

In a context where industrial infrastructures are increasingly interconnected, managing access to control systems (SCADA, PLC, DCS, etc.) has become a key issue in operational cybersecurity. Remote access, external maintenance, network segmentation, user rights: the slightest flaw can open the door to attacks with serious consequences for production, security and business continuity. What are the specific challenges of identity and access management (IAM) in industrial environments? How can security, traceability and operational continuity be reconciled? What tools and methodologies can be used to control access without slowing down field teams or service providers? With securing access to industrial control systems no longer just a best practice but a regulatory requirement (NIS2 directive, IEC 62443 and ISO/IEC 27001 standards), critical infrastructure operators and industrial companies must implement robust, traceable access policies tailored to the specificities of OT environments.

Discover how the Silicon Labs 917 SoC brings together Wi-Fi 6 and Bluetooth LE in a single, low-power platform ideal for next-generation IoT devices. This session highlights its key features, energy efficiency, and real-world applications in smart home, industrial, and wearable markets—empowering developers to build always-connected, battery-friendly solutions.

In a cloud-based and distributed world, protecting identities, data and applications is becoming the top priority for CISOs and CIOs. Compliance with requirements such as NIS2 requires a data-centric approach and tighter security governance. At this conference, Thales, a leading provider of cyber security solutions, and Randstad Digital, a trusted integrator, will share their joint vision: how to strengthen the security of hybrid and multi-cloud environments while ensuring traceability, compliance and access control. Use cases, field feedback and a roadmap for modern, pragmatic and resilient cyber security.

Cloud, AI, 5G, IoT, robotics… Digital transformation is spreading to all sectors, but it relies on a very real physical foundation: the raw materials and electronic components that are essential for manufacturing equipment and infrastructure. However, these critical resources are under increasing pressure from geopolitical crises, shortages and tensions in supply chains, dependence on non-European suppliers, and environmental and ethical issues. So how can we build a digital sourcing system that is both sovereign, to secure our technological autonomy, and responsible, to meet sustainability and transparency requirements? What industrial, regulatory and technological strategies can enable partial relocation, better recycling, or a more sober and circular design of digital and technological projects?

Artificial intelligence is shaking up jobs, including digital ones. With some tasks being automated and powerful models helping with decision-making, what’s happening to technical skills (from coding to business engineering) in companies? How can engineers, developers, IT specialists – and even managers – evolve and develop new skills in order to understand how algorithms work, how they are implemented, how their quality can be controlled, how to ensure they are ethical and that they meet needs, etc.? How should organisations rethink training, recruitment and career paths? Between the promise of efficiency and the risk of disengagement, a balance must be struck between humans and machines, fundamental knowledge and augmented tools.

Faced with climate challenges, pressure on resources and the need for cities to adapt, regions are seeking solutions that are effective, sustainable and economical. What if artificial intelligence – in its frugal form, with low data and energy consumption – became a concrete lever for action for the ecological transition? In September 2024, eight new winners of the call for frugal AI demonstration projects for the ecological transition of regions (France 2030) joined the four regions already certified. How are these local authorities, water managers and planners using frugal AI approaches to optimise urban planning, better anticipate water needs and guide greening strategies? These innovative and concrete projects show that it is possible to combine digital sobriety, operational efficiency and territorial intelligence.

With cyberattacks on the rise and increasingly targeting smaller organisations, SMEs/SMIs and local authorities are now seen as the weak links in cybersecurity. Limited resources, heterogeneous infrastructure and a lack of awareness mean that these players are highly vulnerable, despite performing functions that are essential to the economy and everyday life. However, there is a clear mismatch between the specific needs of these organisations and the current offering in terms of cybersecurity. In this context, what responsibilities do public authorities, cybersecurity service providers and contractors have? How can we build a more accessible, clearer and better tailored cybersecurity offering that takes into account their constraints, in order to rethink cybersecurity that is trustworthy and adapted to the realities on the ground?

Unleash superior software quality from the get-go. We empower our customers to achieve faster, more reliable software on microcontrollers and microprocessors. Automated UI Testing: Ensure flawless user experiences with reliable, repeatable UI tests across all devices. Comprehensive Code Coverage: Pinpoint untested code, dramatically boosting test efficiency and your confidence in the codebase. Proactive Code Analysis: Catch code smells, architectural flaws, and potential defects before they become problems. These powerful capabilities integrate effortlessly into your development workflows, supporting CI/CD pipelines and enabling early bug detection and easy maintainability. The result? Reduced development time, impeccable code quality, and rock-solid.

In increasingly coordinated and rapid attack scenarios that incorporate AI, it is no longer enough to simply stack security tools (firewall, SIEM, EDR, etc.). It is time for these components to act as a coherent whole, reinforced by AI. This workshop immerses you in a new approach to AI-powered cybersecurity: unified, intelligent and automated. You will discover why data silos and unconnected tools are slowing down your response time, how to move from a reactive stance to a proactive defence, what attackers can see that you cannot yet see, and how to drastically reduce detection and response times through orchestration and AI. Make way for fluid, orchestrated and, above all, effective security.

Against a backdrop of trade wars (US-China) and military conflicts (Ukraine-Russia), ever-increasing threats and increasingly well-orchestrated attacks, and in an almost monopolistic cyber-economic landscape, can Europe today create the conditions for effective, sovereign cyber-security? Despite highly advanced technologies, increasing funding and a favourable regulatory environment, the European cyber sector faces a number of challenges if it is to create champions capable of scaling up quickly. These include, first and foremost, legal harmonisation at EU level and changes to the rules on competition and public procurement – the creation of a Buy European Act – to provide European cyber companies with orders and contracts. Without doing without American solutions, or copying their model, can we develop a form of sovereignty or strategic autonomy in cyber matters?

In a world where robotics is becoming increasingly autonomous, precise and responsive, connected sensors and imagers are becoming the eyes, ears and nerves of intelligent machines. Thanks to the IoT, robots no longer simply perform tasks: they perceive their environment, adapt to it in real time and optimise their performance. How is the convergence of smart sensors, embedded vision, connectivity and edge computing power enabling robotics to become more agile, more economical and better integrated into industrial, agricultural and urban environments? What are the latest advances in robotic perception? How can data reliability be guaranteed in complex environments? And what technical and ethical challenges will these new capabilities pose?

Robotisation and digitalisation have changed the role of humans, and with the rapid development of generative AI, this role will need to evolve once again to create even more value. Many companies with ageing factories face a major challenge, where recruiting and retaining young people is difficult and where the transfer of know-how must be guaranteed. Our response? Combining technology and people by immersing our employees in a secure and personalised environment, with continuous support from a virtual agent. Let’s take a look at how LLMs (Large Language Models) are revolutionising our relationship with work in a positive and pragmatic way at Nicomatic, with technology from GetVocal AI.

Faced with the limitations of the linear ‘extract, produce, dispose’ model, new economic paradigms are emerging: the functional economy (selling a service rather than a good) and cooperation, the circular economy, pooling, reuse and simplicity. In this profound transformation of business models, digital technologies are no longer just tools for optimisation: they are becoming catalysts for systemic change. Smart sensors, digital platforms, blockchain, AI, predictive maintenance and other technologies are enabling us to rethink value in terms of usage, sustainability (keeping things in working order) and impact, rather than ownership. Which sectors and industries are leading the way? How can technological innovation be combined with changing business models? What obstacles (economic, cultural, regulatory) still need to be overcome?

At a time when the ecological transition is forcing us to rethink our digital habits, sobriety is becoming imperative. Bucking the trend, cybersecurity systems are based on increasingly heavy architectures: multiple logs, redundant infrastructure, intensive encryption, real-time monitoring, long-term storage, etc. While these practices are essential to ensuring system security, they also generate a growing environmental footprint that is often overlooked in digital sobriety assessments. So how can we reconcile digital security with the demand for sobriety? Is it possible to secure systems in other ways, with less complexity, less data and a smaller footprint? Event log reduction and intelligent governance, selective encryption, Zero Trust and Edge computing architectures, security data retention periods, and the sharing of cyber tools at sectoral or regional level: what approaches can reduce environmental impact without exposing organisations to risk?

In the face of economic slowdown and intensifying competition, innovation remains one of the key drivers for differentiation. What are the sectoral signals and regional dynamics to watch? Which disruptive technologies can support an acceleration strategy? And how can public measures be mobilised to maximise return on investment? This joint workshop between Numeum (market vision & trends), Aktantis (technological breakthroughs, embedded systems) and Ayming (CIR, CII, France 2030, iLab, IP Box, etc.) will provide a comprehensive and actionable overview of the innovation challenges facing the digital and industrial sectors.

Artificial intelligence is no longer limited to digital environments: it is now being integrated into physical products, transforming their design, operation and interaction with users. In this dynamic masterclass, we unveil The AI Strategy for Physical Products, a methodological framework designed for companies wishing to integrate agentic intelligence into their equipment, connected objects, embedded systems or smart environments. Discover how intelligent agents, powered by large language models (LLMs), codified expertise corpora and advanced technologies such as Model-Context-Protocol (MCP), enable intelligent agents to overcome the functional silos of physical products. These systems become capable of perceiving, interpreting and acting autonomously: they communicate with each other and make decisions in real time. The result? Extensive automation, innovative business models and a completely redesigned user experience.

What if virtual worlds became intelligent? The convergence of virtual reality and artificial intelligence is ushering in a new era of immersive interactions that are more natural, adaptive and personalised than ever before. Thanks to AI, virtual environments no longer simply simulate: they react, learn, anticipate and adjust in real time to the behaviour, emotions and preferences of each user. VR environments generated or dynamically modulated by AI, intelligent and responsive non-player characters (conversational agents, virtual companions, behaviour simulators), real-time processing, data collection and analysis in immersive environments, embedded AI: the challenges are numerous. And so are the questions: what data should be captured, what biases should be addressed, and what user control should be provided? Whether in training, healthcare, industry, design or entertainment, the convergence of AI and VR promises intelligent and deeply personalised immersion.

Artificial intelligence is at the heart of economic, industrial and societal transformations. But at a time of climate change and pressure on resources, a paradox arises: AI, which is both energy- and data-intensive, is also presented as a lever for optimising consumption, improving efficiency and driving the energy transition. In this context, is AI a credible ally for energy efficiency, or will it accelerate energy demand? Can it really contribute to decarbonisation without exacerbating the problem it claims to solve? The energy impact of developing AI models, the role of frugal AI and its limitations, regulatory frameworks and methodologies for assessing the real footprint of AI solutions, the responsibility of designers, users and decision-makers in balancing performance and impact, and the uses of AI in different sectors (network management, construction, mobility, industry) are at the heart of the strategic challenges surrounding the place that AI can (or must) occupy in a sustainable future.

Connected objects, sensors, networks, platforms: behind the operational benefits of IoT projects lies an environmental footprint that is still poorly understood, from component manufacturing to data exploitation. How can we design objects that are less energy-intensive, more sustainable and easier to repair? How can environmental criteria be integrated from the specification phase onwards? What tools and benchmarks should be used to measure, compare and decide? And how can these approaches be reconciled with the economic and technological constraints of the market? Eco-design and life cycle assessment (LCA) are two key approaches and concrete levers for reducing the environmental impact of IoT systems.

With the new European Machinery Regulation set to come into force in January 2027, cybersecurity is becoming a regulatory requirement for manufacturers, integrators and operators of industrial equipment. Designed to address the growing risks associated with the digitisation of machines and the interconnection of systems, this regulation imposes new IT security requirements from the design stage and throughout the entire life cycle of equipment. This new legal framework has concrete consequences for industrial players. What cyber requirements must be incorporated into design and conformity assessment? How can a ‘cybersecurity by design’ approach be implemented that is compatible with industrial processes? Find out how to prepare for secure and long-lasting compliance of your equipment and facilities.

Generative artificial intelligence is revolutionising how we use technology and opening up new possibilities. However, it also increases the attack surface, with the emergence of new risks. At the forefront is prompt injection, an emerging threat vector. So how can you effectively secure an AI application against these new attack methods? Through feedback, demonstrations and a joint presentation with Palo Alto Networks, discover how to implement end-to-end protection for generative AI applications.

AI delivers on its promise when it ‘crosses the last mile,’ where innovation finally produces tangible value. But the conditions must be in place to deliver that value. Insurance, often perceived as a conservative sector, is emerging as a prime testing ground for AI, thanks to its large volumes of data, standardised processes and high customer expectations. It has now moved beyond the testing stage to become a real incubator for the operationalisation of AI, constantly seeking value. Use cases are multiplying: automated extraction of complex information, predictive risk analysis, optimisation of claims management processes, automatic quote generation, LLM management assistants, etc. AI is becoming embedded in operations. But human and organisational challenges remain: tech-business alignment, scalability, governance, skills… all essential levers for crossing that last mile. Which uses should be prioritised, which technological choices should be made, and what governance should be put in place for sustainable deployment?

Discover the experience gained from an end-to-end IoT implementation at the heart of the industrial sites of a renewable energy supplier. We will discuss the secure collection of machine data, its integration into a data lake on the AWS cloud, and its use via AI to boost industrial performance. From optimising yields and predictive maintenance to operator assistance, AI is becoming a powerful lever for operational efficiency. A concrete demonstration of the value of the cloud, IoT and AI for Industry 4.0.

Faced with ecological, social and economic challenges, the smart city can no longer be reduced to an accumulation of technologies. While high-tech solutions (sensors, AI, data platforms, digital twins) promise optimised management of urban services, they are not enough to guarantee more resilient, inclusive and sustainable territories. Conversely, low-tech approaches (simplicity, reuse, citizen participation, living solutions) provide concrete and accessible answers, but sometimes struggle to integrate with complex digital systems. So how can low tech be integrated into interconnected urban systems? What criteria should be used to decide between technological innovation and frugal solutions? What impact will this have on governance, the design of public services and citizen participation? The balance between high tech and low tech must be struck in the service of real uses and local needs in order to design a smart, fair, frugal and liveable city.

The Zero-Trust model is emerging as a strategic response to modern threats, based on a simple principle: never trust, always verify. But between stated ambitions and the reality of existing information systems, integrating Zero-Trust remains a major challenge for businesses and public institutions alike. How can you assess your organisation’s readiness for this paradigm shift? How can you integrate Zero Trust principles into an existing IT system without rebuilding everything? Which technological building blocks should you use (identity, micro-segmentation, supervision, IAM, SASE)? What governance should you put in place to align security, business and IT? There are many technical, organisational and operational challenges associated with implementing Zero Trust in complex, often heterogeneous and interconnected environments.

When faced with a cyberattack, every minute counts. Beyond technical emergency measures, the relationship with law enforcement agencies becomes a key lever for an effective, coordinated response that complies with legal obligations. However, many organisations still approach this cooperation in a rush, without a clear framework or advance strategy. When and how should you alert the public prosecutor’s office, the police or the specialised gendarmerie? What information should be shared, in what form, and with what guarantees of confidentiality? How can you balance the requirements of the investigation, business recovery and crisis communication? Clarifying the legal, operational and organisational issues related to cyber crisis management in conjunction with the relevant authorities enables collaboration based on trust, responsiveness and compliance.

Euranova will share its experience in designing algorithms for detecting and tracking people, specifically optimised for STMicroelectronics’ new STM32N6 microcontroller, equipped with the Neural-ART accelerator. This workshop will highlight the practical implementation of advanced AI technologies on embedded devices with limited resources, opening up new possibilities for Edge AI applications.

Space is no longer just a playground for state agencies: it is becoming a territory of economic opportunity where private giants, ambitious start-ups and emerging powers meet. Extraction of lunar or asteroidal resources, satellite constellations, orbital logistics, space tourism… The industrialisation of space is underway, driven by massive private investment and a global race for technological competitiveness. But behind this craze for ‘New Space’ lie strategic and structural questions. What business models are viable in the medium term? What infrastructures need to be developed to support a sustainable space value chain? How can we manage the risks – legal, environmental, geopolitical – in a space where the rules are still vague? In short, will space be the scene of a techno-economic Wild West, or will it become the next great industrial revolution of our time?

Testing an application, developing a new service, exploiting data in BI or entrusting a project to a service provider… In a context of increasing cyberattacks and stricter regulations such as GDPR, DORA and NIS2, anonymisation is emerging as a key response to these uses. During this session, we will share real-life examples of companies that have carried out anonymisation projects in non-production environments. Find out how they have strengthened their cybersecurity while preserving the relevance and usability of data sets for business users.

Following an initial session at SIDO 2024 devoted to the emergence of generative design and its impact on design and engineering (the role of designers and engineers, understanding programming and algorithmic principles, and collaborative approaches to technology), the speakers will continue the dialogue in season 2. We will see how AI ‘hallucinations’ are not necessarily seen as a flaw, but rather as a driver of creativity, where every error, every bias and every deviation is an opportunity to redefine our conceptions of what is possible. What if the digital unconscious became the new frontier of creation?

Cybersecurity is now a strategic issue for all organisations. But you still need the right talent to implement it. Against a backdrop of growing threats, companies are facing a chronic shortage of skilled professionals, exacerbated by increasing regulatory requirements, the diversification of cyber professions and the global war for talent. What profiles are really in demand today, and what skills do they require? How can you attract and retain talent in a highly competitive field? What role do work-study programmes, retraining, hybrid career paths and self-taught skills play? How can you rethink your recruitment criteria in the face of rapidly evolving technologies and threats? Discover practical insights to adapt your practices, open up the skills pool and build strong, sustainable cyber teams.

What if you could connect thousands of objects without having to deploy any network infrastructure? That’s the challenge taken up by NR+, the new DECT standard recognised by the International Telecommunication Union (ITU) for IoT networks. Designed for industrial and mass use, NR+ enables the creation of mesh networks that are self-organising and fully distributed, with no central point or dependence on an operated infrastructure. The result: drastically reduced deployment costs, unrivalled robustness and true scalability to meet the needs of the most demanding sectors such as energy, construction and industry. Come and discover how this technology is revolutionising the rules of the game.