Tech Ecosystem Collaboration

Turning Europe into a quantum industrial powerhouse Europe has been the cradle of quantum mechanics, the revolutionary science born from the genius of Max Planck, Albert Einstein, Niels Bohr, Erwin Schrödinger, and other visionaries who rewrote the rules of physical reality. On 2 July 2025, in the year marking a centenary since the initial development of quantum mechanics, the Commission has adopted an ambitious European Quantum Strategy, integrating Europe's unique scientific heritage with its vibrant quantum ecosystem of startups, SMEs, large industries, research and technology organisations, academia and research institutes. The mission is clear: turn Europe into a quantum industrial powerhouse that transforms breakthrough science into market-ready applications, while maintaining its scientific leadership. We are imagining a Union where medical scans can detect illnesses at the earliest stages, accelerating from weeks of uncertainty to mere seconds of precise diagnosis; where sensors are able to warn about volcanic activity or water shortages before they happen; and where unprecedented computational power will be available to solve complex problems in logistics, finance and climate modelling. A safer Europe, where our personal data, critical infrastructure, and businesses will always remain private and well-protected; where transport systems are optimised to reduce congestion and prevent accidents; and air travel is guided by quantum-enhanced precision navigation, pinpointing objects' locations down to the centimetre. A greener Europe, where sustainable energy grids can flawlessly manage millions of electric vehicles charging simultaneously overnight. These tangible, transformative technologies are within reach through support from the EU Quantum Strategy. The quantum community has clearly outlined what's needed to achieve this future: · Combine Europe's scientific excellence to bring quantum breakthroughs rapidly to market · Develop advanced quantum supercomputers like the ones we are supporting under the Quantum Flagship and are acquiring under the EuroHPC Joint Undertaking to operate as accelerators next to our leading network of supercomputers · Deploy secure communication networks such as those under EuroQCI, our secure quantum communication infrastructure that will be spanning the whole EU, composed of a terrestrial segment relying on fibre communications networks linking strategic sites at national and cross-border level, and a space segment based on satellites · Support quantum startups and SMEs, enhancing supply chain resilience, and foster supranational innovation clusters · Integrate quantum advancements into strategic capabilities for security and defence, protecting citizens and infrastructure · Educate Europe's workforce through specialised initiatives like the European Quantum Skills Academy Quantum is not one more technology to add to the list; is a high tide that will deeply transform our society and economy.

🗞️ A must-read for anyone interested in European AI governance right now: this study, drafted for the Committee on Industry, Research and Energy (ITRE) of the European Parliament by the Policy Department for Transformation, Innovation & Health 👉🏼Analyses how the AI Act adopted mid-2024 is articulated with other key EU digital regulations 🔎 Examines interactions with: • GDPR • Data Act (DA) • Data Governance Act (DGA) • Digital Services Act (DSA) • Digital Markets Act (DMA) • Cyber Resilience Act (CRA) • NIS2 Directive, the New Legislative Framework (NLF) and product-safety / digital-elements rules 📖 A timely document as the #EU faces the demanding task of building digital rules that the world still lacks, balancing innovation, transparency and fundamental rights. ➡️ creating a broad legal ecosystem connecting data, algorithms and human values. 🎯 3 goals • Ensure trustworthy #AI in Europe — safe, transparent, respectful of rights and EU values. • Foster innovation and competitiveness • Provide legal certainty through a proportionate, risk-based approach. 🗺️ The study maps the interplay among current acts: 🔹with GDPR – Encourage joint guidance between data-protection and AI authorities to simplify impact assessments and ensure consistent supervision across Member States. 🔹with Data Act -Streamline obligations on data quality and access so that compliance supports, rather than slows, AI innovation. -Coordinate governance to prevent duplication and promote data flows for trustworthy AI. 🔹with Data Governance Act -Build bridges between data-sharing frameworks & AI requirements through interoperable standards and clear responsibilities for data use. 🔹with DSA / DMA -Use platform transparency & risk-assessment mechanisms to reinforce, not duplicate, AI Act duties -promote a coherent, innovation-friendly environment for general-purpose models 🔹with CRA / NIS2 / NLF -Align product-safety, cybersecurity & AI conformity processes to create 1 coherent certification pathway for digital products. 👉🏼an #AI Act as integrated regulatory ecosystem covering data, algorithms, products, platforms and rights = smart coordination turning compliance into trust and competitiveness. Future model proposed : • Principle-based horizontal rules with sectoral modules • Clear layering — data → algorithms → systems → services • Aligned definitions & conformity regimes • Simplified compliance for SMEs, rigorous oversight for high-risk systems 🧭 Practical steps forward ▶️Short term: joint guidelines (AI Act / GDPR), shared sandboxes, harmonised templates. ⏩️Medium term: clarify mandates, connect conformity procedures. ⏭️Long term: build a unified digital framework linking data, AI and platform rules, strengthen international standardisation& partnerships. ➡️ AI for good, trustworthy by design, aligned with rights and values. 🙏🏻 Authors Hans Graux Krzysztof G. Nayana Murali Jonathan Cave Maarten Botterman

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬 𝐚𝐧𝐝 𝐩𝐚𝐭𝐞𝐧𝐭𝐬 𝐚𝐫𝐞 𝐨𝐟𝐭𝐞𝐧 𝐩𝐮𝐫𝐬𝐮𝐞𝐝 𝐰𝐢𝐭𝐡 𝐥𝐢𝐭𝐭𝐥𝐞 𝐫𝐞𝐠𝐚𝐫𝐝 𝐟𝐨𝐫 𝐚𝐜𝐭𝐮𝐚𝐥 𝐦𝐚𝐫𝐤𝐞𝐭 𝐮𝐭𝐢𝐥𝐢𝐭𝐲, 𝐚𝐢𝐦𝐞𝐝 𝐢𝐧𝐬𝐭𝐞𝐚𝐝 𝐚𝐭 𝐜𝐚𝐫𝐞𝐞𝐫 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭, 𝐚𝐰𝐚𝐫𝐝𝐬, 𝐨𝐫 𝐦𝐞𝐫𝐞 𝐫𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧. I have been noticing, 𝐝𝐞𝐬𝐩𝐢𝐭𝐞 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐯𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬—𝐦𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐨𝐟 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬, 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬 𝐨𝐟 𝐩𝐚𝐭𝐞𝐧𝐭𝐬, 𝐚𝐧𝐝 𝐚 𝐬𝐭𝐞𝐚𝐝𝐲 𝐬𝐭𝐫𝐞𝐚𝐦 𝐨𝐟 𝐏𝐡𝐃𝐬—𝐭𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐚𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐨𝐮𝐭𝐩𝐮𝐭 𝐨𝐧 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐫𝐞𝐦𝐚𝐢𝐧𝐬 𝐝𝐢𝐬𝐩𝐫𝐨𝐩𝐨𝐫𝐭𝐢𝐨𝐧𝐚𝐭𝐞𝐥𝐲 𝐥𝐨𝐰. According to a UNESCO report, while over two million research papers were published globally in 2022, less than 30% had any cited industrial or societal application. Similarly, in the U.S., an analysis by the National Bureau of Economic Research (NBER) reveals that only about 5% of patents filed by universities reach the commercialization stage. An increasing trend among academicians involves co-founding companies as a superficial indicator of market engagement. Registration alone is relatively inexpensive in many countries, and without substantial follow-through—market traction, talent acquisition, funding, or a public footprint—these entities may remain on paper only. A recent investigation revealed that several award-winning researchers, who claimed numerous corporate collaborations and company foundations, had little to no market visibility, casting doubt on the actual impact of these ventures. Many academics, unfortunately misuse resources. 𝐈𝐧𝐩𝐮𝐭𝐬: 📌 Academia needs to prioritize real, industry-defined challenges rather than theoretical, manufactured problems. Direct engagement with industry experts, SMEs, and MSMEs can provide authentic, field-tested insights that are foundational for impactful research. Industry problems are keep changing thus academicians, startup fraternities have to update regularly through thoroughly ground level research, market survey and industry trends.📌 From problem identification to prototyping and commercialization, industry partners should be deeply involved. 𝐌𝐚𝐤𝐢𝐧𝐠 𝐟𝐢𝐞𝐥𝐝 𝐯𝐢𝐬𝐢𝐭𝐬 𝐚𝐧𝐝 𝐫𝐞𝐠𝐮𝐥𝐚𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬 𝐜𝐨𝐦𝐩𝐮𝐥𝐬𝐨𝐫𝐲 𝐟𝐨𝐫 𝐚𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬 𝐜𝐚𝐧 𝐟𝐨𝐬𝐭𝐞𝐫 𝐚 𝐝𝐞𝐞𝐩𝐞𝐫 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐠𝐫𝐨𝐮𝐧𝐝-𝐥𝐞𝐯𝐞𝐥 𝐢𝐬𝐬𝐮𝐞𝐬. 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬: 📌 Kalasalingam’s engineering faculty and students have partnered with small-scale industries to create low-cost solar and biomass energy solutions. 📌Chitkara University’s agribusiness program collaborates with small-scale food producers to enhance food storage and packaging solutions. 📌BAMU has collaborated with local agricultural industries and farmers to develop cost-effective soil health monitoring systems. #industryproblems #msme #patent

Thrilled to share our new research, co-authored with Annabeth Aagaard and Oliver Gassmann, on how industrial digital platforms are transforming value creation in B2B ecosystems. In many manufacturing settings, platform governance has long been framed as a one-way street: the platform orchestrates, complementors adapt. Our study shows a very different reality. Across five platform providers and five leading manufacturers, we uncover dual orchestration — a dynamic, iterative form of co-governance where both sides continuously adapt roles as digital business models evolve. The paper offers: • A Platform DBM Process Model explaining how value is co-created and co-captured across initiation, proposition design, digital transformation, and revenue sharing. • A Dual Orchestration Governance Framework detailing how transparency, reciprocity, commitment, proximity, and coopetition enable stable collaboration in highly interdependent industrial settings. • Rich case evidence from global platform providers and industrial firms navigating interoperability, data rights, servitization, and emerging AI-driven business models. If you are working on digital transformation, industrial platforms, ecosystem strategy, or B2B business model innovation, I hope you will find the insights useful. Read the open-access article here: Dancing titans: Dual orchestration and governance in industrial digital platforms for B2B value co-creation (Technovation, 2026): https://lnkd.in/dK4_UZpz Happy to discuss the findings or explore collaboration around this line of research. #DigitalPlatforms #IndustrialPlatforms #DualOrchestration #PlatformGovernance #B2BInnovation #EcosystemStrategy #DigitalBusinessModels #Servitization #ValueCoCreation #ValueCoCapture #ManufacturingInnovation #DigitalTransformation #IIoT #PlatformEconomy #EcosystemGovernance #CollaborationDynamics #OpenInnovation #DataDrivenInnovation #Technovation #ResearchPublication

Delighted to publish a new report with Tony Blair and the Tony Blair Institute for Global Change. Quantum computing will reshape our economy and security in the decades ahead, from developing new materials and medicines to transforming clean energy and artificial intelligence. The UK has world-class scientists and pioneering start-ups. What we now need is scale to ensure that Britain captures the benefits of this technology rather than watching others lead. Our report sets out how to do that: - Build national quantum infrastructure; - Support high-risk capital for deep-tech firms; - Create a world-class talent pipeline in quantum science; - Develop a clear strategy for international collaboration. History will not forgive us if we fall behind in the quantum race. But with focus and ambition, the UK can lead the next industrial revolution. Let me know your thoughts. Report here: https://lnkd.in/e9HbxJrF

📄 New paper: Orchestrating and Designing Data Collaboratives: What Governance Model is Fit for Purpose? I get asked this a lot: 👉 What’s the difference between a data trust, a data union, a data commons…? 👉 And more importantly—when should you use which? Too often, these models are treated as competing “solutions.” But that framing misses the point. In reality, they reflect different governance logics—and each is designed to solve a specific coordination, agency, or collective action problem in data ecosystems. For instance: Data intermediaries → reduce transaction costs Data unions → rebalance power Data trusts → address legitimacy deficits Data commons → enable collective governance Data cooperatives → redistribute ownership and agency Data sandboxes → manage uncertainty Data spaces → enable scaling and interoperability So the real question is not: ❌ Which model is best? But rather: ✅ Which model is fit for purpose—given the problem you are trying to solve? That’s why I wrote this short paper. It proposes a purpose-driven typology and argues for moving beyond “institutional choice” toward institutional orchestration—where multiple models coexist and evolve within the same ecosystem. 👉 Because in practice, mature data ecosystems don’t rely on a single model—they layer and sequence governance arrangements over time. (And that’s where strategic data stewardship becomes essential.) 📖 Read the paper here: https://lnkd.in/eyT9e4gV 🤔 Curious how others are navigating this: What governance model have you seen work—and why? #data #datagovernance #governance #dataspaces #intermediaries

I was pleased to join in today’s launch of the OECD Recommendation on Quantum Technologies – the first intergovernmental standard providing shared principles and policy guidance for development and use of quantum technologies. A growing number of countries are investing in quantum computing, sensing and communication, and they are developing national strategies to guide their efforts. But progress depends on more than national efforts: quantum innovation relies on shared expertise, infrastructure and international collaboration. The OECD Recommendation helps governments and other stakeholders strengthen innovation ecosystems, promote secure and trusted access, support resilient supply chains, and foster international co-operation – while addressing risks related to security, privacy and fragmentation. Its adoption marks the beginning of the next phase of collective implementation of quantum technologies, offering a common reference point to guide policy, support co-ordination, and build trust in how quantum technologies are developed and deployed across borders. See: https://lnkd.in/ecqnDdpD Congratulations to Andrés Barreneche García, David Winickoff, Pauline Arbel, Sara Rendtorff-Smith, Audrey Plonk. #Quantum #EmergingTech #InnovationPolicy #OECD

🎯 TATA AUTOCOMP – ŠKODA GROUP JV: DRIVING INDIA’S RAIL TECHNOLOGY REVOLUTION Banner Caption: When Automotive Excellence Meets Rail Innovation India’s railway modernization drive has taken a significant leap forward with the new joint venture between Tata AutoComp Systems and Škoda Group. The partnership will manufacture rail propulsion systems and critical components domestically, marking a decisive moment in India’s transition from a rail-assembly economy to a technology-producing nation. 🚆 1️⃣ Localization of Advanced Propulsion Technology Škoda’s proven European traction technology will now be produced in India, reducing import dependency and enhancing supply-chain resilience. This move aligns with Atmanirbhar Bharat and Make in India, enabling local production of traction converters, drive systems, and control electronics—core elements of modern rolling stock. Outcome: India gains not just assembly capability, but engineering sovereignty. ⚙️ 2️⃣ Diversification of Tata AutoComp’s Portfolio Traditionally a major automotive and EV-component supplier, Tata AutoComp’s entry into rail systems represents a strategic diversification into multi-modal mobility. The company’s expertise in high-precision manufacturing, coupled with Škoda’s century-old traction know-how, creates a self-reliant ecosystem for locomotives, EMUs, metros, and high-speed trainsets. Outcome: India builds a cohesive supply chain spanning automotive, EVs, and railways. 💼 3️⃣ Economic, Employment & Sustainability Impact This JV will drive technology transfer, job creation, and MSME participation across castings, forgings, and electronic sub-systems. Localized propulsion solutions will enhance energy efficiency and reduce carbon footprint, reinforcing India’s sustainable mobility goals under Mission Net Zero. Outcome: A self-sustaining, green industrial ecosystem. 📈 4️⃣ Supporting India’s Rail Modernization Push With Indian Railways investing in Vande Bharat, RRTS, and Metro expansion, this JV ensures that propulsion technology is available locally, at scale, and with global standards. It bridges India’s infrastructure push with domestic manufacturing strength—fueling both industrial growth and national confidence. Outcome: Integration of engineering innovation with nation-building. 🌍 In Perspective This collaboration is more than a business arrangement—it’s a technological alliance that positions India as an exporter of advanced rail propulsion technology. It symbolizes the fusion of Indian scale with European precision, setting a template for future Indo-European partnerships in transport engineering. #TataAutoComp #ŠkodaGroup #MakeInIndia #AtmanirbharBharat #RailwayTechnology #SustainableMobility #RailModernization #TataGroup #Innovation #RailwaysOfIndia

Two years ago, I moved to Austria with curiosity in my heart and a question in my mind: What if Austrian and Indian universities could do more together? This week, that “what if” felt more real than ever. TU Austria (a network of TU Wien, TU Graz, and Montanuniversität Leoben) this week has launched a powerful initiative with India, supported by €5 million in funding from the Austrian Federal Ministry of Science, Research and Economy. This isn't just another exchange program. It’s a strategic bridge — rooted in academic diplomacy, built on trust and excellence, and aimed at addressing the global challenges of our time: 📌 Circular economy 📌 Climate-neutral technologies 📌 Sustainable infrastructure 📌 AI and digitalization As someone who has worked for a decade at the intersection of academia, innovation, and international collaboration — from Indian universities to top US institutions, and now actively engaging with Austrian universities — I see this as a defining moment. A moment to: 🎯 Co-create joint research labs 🎯 Launch PhD exchange programs with dual supervision 🎯 Design transdisciplinary academic-industry clusters between Austria and India 🎯 Develop curriculum and mobility models for the future of STEM education This is where I’d love to contribute — as a consultant and bridge-builder for universities in both countries. Helping map opportunities, facilitate strategic dialogues, and enable world-class programs that serve both nations — and the planet. 📢 To university leaders, deans, researchers, and innovation offices — let’s talk. Because when two strong academic cultures come together, we don’t just exchange students. We exchange futures. Read more about the initiative: https://lnkd.in/dfvprh4U (English summary also available via TU Austria) #AustriaIndia #AcademicDiplomacy #JointResearch #HigherEducation #CircularEconomy #GlobalCollaboration #TUAustria #InnovationBridges

World Economic Forum 𝗷𝘂𝘀𝘁 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 I've seen in December. In my two recent roles, we've deployed agents that optimize digital content on marketplaces, run retail media campaigns on platforms, create replenishment POs to prevent OOS, and identify opportunities for promotions or price increases. But here's my candid observation: most of us are moving faster than our governance frameworks can handle. This report adds a new perspective to the conversation. 𝗪𝗵𝗮𝘁'𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: ⬇️ 1. Technical architecture breakdown: application, orchestration, and reasoning layers—plus protocols like MCP and A2A that enable agent interoperability across enterprise systems. 2. 7-dimensional classification system: role, autonomy, authority, predictability, function, use case, and environment. This helps you understand exactly what level of risk you're dealing with. 3. Real-world evaluation framework: task success rates, completion time, tool-use accuracy, edge case robustness, and trust indicators. Finally, practical metrics for production deployment. 4. Risk assessment lifecycle: a 5-step process from defining context to managing residual risk—mapped directly to agent capabilities and deployment scenarios. 5. Progressive governance model: baseline controls for every agent (access, monitoring, testing, human oversight), with safeguards that scale as autonomy and authority increase. 6. Multi-agent ecosystems: the future isn't single agents—it's networks of agents that negotiate, transact, and collaborate. The report covers emerging risks like drift, misalignment, and cascading failures. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗳𝗼𝗿 𝗖𝗣𝗚: ➜ Don't underestimate agents, they're not glorified chatbots; they are powerful and act on a much higher decision-making efficiency. They're making decisions on inventory, pricing, promotions, and customer data. ➜ Without classification, you can't assess risk. Without evaluation, you can't validate performance. Without governance, you're flying blind. Time to learn what's running under the hood. ➜ The framework gives you a playbook: start with low-autonomy agents, test rigorously, scale governance as capabilities grow. And don't rely on your IT and data science teams, get your hands dirty, please, even by watching and getting involved only. ➜ This isn't academic, from what I can tell, it's designed for practitioners who need to deploy safely today while preparing for multi-agent ecosystems tomorrow. The bottom line: adoption without governance is reckless. Governance without practical frameworks is paralysis. This report gives us both. Full paper is here: https://lnkd.in/eVuBJWps #AI #AIAgents #CPG #FMCG #Enterprise #Governance #Innovation