Technology isn’t a cost center, it’s your competitive edge. If you can’t shift this perspective, you won’t be able to innovate 📈 Over the past decade, I've guided numerous companies, from pharmaceutical giants to financial leaders, on their journey to becoming product-led. One common mistake I've seen is treating technology as a mere expense, not a strategic advantage. This view undermines transformation efforts. Here's how it unfolds and what to do about it. In many organizations, technology is seen as a cost center. When executives talk strategy, it's often about cost reduction. They can articulate market differentiators well but stumble when asked, "How does your tech vision enhance your competitiveness?" Silence. The competitive edge dulls as rivals leveraging tech strategically catch up. This approach is like playing corporate whack-a-mole: solving cost issues while missing opportunities. What if the process you streamlined wasn't needed at all? Or if you could innovate beyond traditional methods? Many transformations start with Agile to address slow development cycles. But speed alone doesn't equate to success. Agile without product thinking can lead to an output-focused mindset: success measured by backlog clearance rather than solving real business problems. Transformations stall when teams build features quickly without building the right ones. It's crucial to view software products as strategic enablers, not just tools to "run the business." Without this shift, product strategies remain uninspiring. Even if your software isn't sold, it can be a major strategic differentiator. Consider Capital One's journey: disrupting the banking sector by using data analytics for credit risk models and improving customer experiences by eliminating unnecessary processes. What about internal tools? For pharmaceutical companies, bringing drugs to market is essential. Instead of merely speeding up processes, your tech could identify study participants and predict outcomes better than competitors. It's about asking the right questions. "How do I make this cheaper?" leads to outdated solutions. "How do we re-imagine this process for an exceptional experience?" drives innovation. If you're on this journey, start by changing the conversation. Ask "why?" and "what if?" Shift from cost-cutting to value-creation, from outputs to outcomes, from project management to product thinking. Real transformation isn't about new processes or team reorgs. Those are secondary. The core shift is viewing technology as a strategic asset driving business value. That’s where the real transformation begins.
Leading Innovation In Organizations
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Part 2: 𝗕𝗲𝘆𝗼𝗻𝗱 𝗣𝗼𝗿𝘁𝗲𝗿’𝘀 𝗙𝗶𝘃𝗲 𝗙𝗼𝗿𝗰𝗲𝘀: 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻 𝗶𝗻𝘁𝗼 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 (Part 1: see https://lnkd.in/eNP8ih5Y) (Part 3: see https://lnkd.in/eYAnkeVS) Michael Porter’s Five Forces framework has shaped how managers and academics analyze industries. It remains an elegant way to map the external environment at the industry level. Porter’s view of strategy, however, was forged in an era when industries were stable, boundaries were clear, and competitive advantage was largely internal. The external environment was portrayed as hostile: every force around the firm—suppliers, buyers, new entrants, rivals, and substitutes—was a potential threat to profitability. Strategy was about defending margins, erecting barriers, and capturing value. But today’s reality is far more fluid. Industries blend into one another, technologies converge, and value is co-created across networks. The same actors that once appeared only as adversaries have become indispensable partners for innovation, agility, and growth. Competitors may share platforms; suppliers co-develop technologies; customers co-create solutions; and substitutes may reveal entirely new markets. If we look at the business world through this new lens, Porter’s five “forces” can also be five “sources” of advantage. Collaboration doesn’t replace competition—it complements it. The real challenge for managers is to find the balance point along a continuum that runs from pure competition to deep collaboration. * Competitors remain rivals, but also potential partners in standard-setting, data sharing, or open-source development. * New entrants are disruptors, but also agile innovators with whom incumbents can partner, invest, or co-develop. * Suppliers can squeeze margins—but when engaged early in design, they become co-innovators. Toyota’s keiretsu model and Unilever’s annual innovation summits with strategic suppliers both show how collaboration can yield efficiency and renewal. * Customers may demand more, but their insights and data now drive innovation. Co-creation platforms—from LEGO Ideas to Tesla’s user forums—turn buyers into creative partners. * Substitutes, once seen only as threats, can signal new opportunities. Netflix, for instance, transformed from a DVD substitute to a platform that redefined how entertainment is consumed. The comparative table below contrasts Porter’s competitive interpretation of each force with a collaborative perspective—a framework better suited when success depends as much on connection as on protection. #Strategy #Innovation #Ecosystems #Collaboration #OpenInnovation #DigitalTransformation #Leadership #BusinessStrategy #MichaelPorter #BlueOceanStrategy #Coopetition #Agility #ValueCreation #Management
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Every few years, something slams the brakes on business-as-usual. Then hits the accelerator. COVID did it. It turned five-year digital roadmaps into five-week survival plans. Then came the supply chain fallout. Every weakness in visibility, data, and flexibility was suddenly front-page news. Those events triggered a tidal wave of tech investment. Automation. Cloud. AI. MES. Data platforms. Progress born out of panic. And that’s the heart of 𝐌𝐚𝐫𝐭𝐞𝐜’𝐬 𝐋𝐚𝐰. Technology moves at an exponential rate. Organizations evolve at a logarithmic one. That gap keeps growing until something big forces a reset. Not because companies want to change, but because they have no choice. The next big disruption is already loading. It might be AI regulation, sustainability mandates, or the collapse of old operating models under the weight of new data expectations. 𝐈𝐟 𝐲𝐨𝐮 𝐜𝐨𝐮𝐥𝐝 𝐝𝐨 𝐨𝐧𝐞 𝐭𝐡𝐢𝐧𝐠 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲 𝐛𝐞𝐟𝐨𝐫𝐞 𝐢𝐭 𝐡𝐢𝐭𝐬, 𝐡𝐞𝐫𝐞’𝐬 𝐦𝐲 𝐚𝐝𝐯𝐢𝐜𝐞: Stop building technology roadmaps in a vacuum. Start building organizational readiness. That means investing in leadership alignment, communication cadence, employee training, and data literacy. It means mapping decision-making speed, defining clear ownership of digital initiatives, and stress-testing how fast your teams can pivot when priorities shift. Because when the next shock arrives, your tools won’t save you. Your ability to respond with clarity and confidence will. 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/eP8bRaK4 ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!
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Quantum computing is moving from promise to platform. For years, quantum has lived in research labs and long-term roadmaps. The question was not whether it worked in theory, but whether anyone could turn it into an ecosystem, a product portfolio, and a repeatable strategy. According to a 2025 report from Gartner, IBM is now the company to beat in quantum computing. The recognition points to strength across research, product portfolio, and ecosystem development. A combination that matters. Quantum computing is not an incremental upgrade to classical systems. It is a fundamentally different architecture built on superconducting transmon qubits and quantum circuits. These systems are designed to tackle classes of problems that remain inaccessible to even the most powerful classical supercomputers. The real shift, however, is not about replacing classical computing. It is about integrating it. IBM’s vision centers on a quantum-centric supercomputing model, where quantum processing units work alongside classical hardware such as GPUs. Each architecture handles the part of the problem it is best suited for. Together, they address challenges no single system can solve alone. Execution is where many emerging technologies stall. In quantum, it has required sustained research, disciplined milestones, and early access for developers and enterprises. IBM first put a quantum computer on the cloud in 2016. Since then, it has built an ecosystem that includes hundreds of academic institutions, startups, and industry partners, alongside the open source Qiskit software development kit. Roadmaps are easy to publish. Delivering against them is harder. Since introducing its quantum development roadmap in 2019, IBM has consistently met its stated milestones. Therefore, this recognition is not about a single breakthrough. It reflects a long-term strategy that connects research, hardware, software, and community into a coherent platform. #IBM #IBMiX #Quantum
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Wheel for Sustainable Business Innovation 🌎 The sustainability landscape is evolving rapidly, and businesses are increasingly expected to integrate environmental and social considerations into their innovation processes. However, traditional innovation frameworks often fall short by focusing solely on customer needs, financial returns, and technical feasibility, leaving critical planetary challenges unaddressed. A more comprehensive approach is needed—one that embeds sustainability at the core of value creation. The 130+ Value Proposition Types Wheel is a practical tool that helps organizations frame innovation efforts across four key dimensions: People, Planet, Profit, and Progress. It provides over 130 value types that businesses can leverage to ensure their projects contribute meaningful solutions to global challenges such as climate action, resource efficiency, social inclusion, and technological advancement. This approach shifts the focus beyond immediate customer needs to include long-term sustainability impacts across entire ecosystems. By using structured frameworks like this, companies can link their innovation projects directly to UN Sustainable Development Goals (SDGs), addressing critical issues such as climate resilience, biodiversity, and social equity. The tool also encourages the use of metrics to track progress, making sustainability-driven innovation more actionable and measurable across industries. It helps businesses unlock new forms of value while addressing both environmental risks and opportunities. The tool is adaptable to different phases of the innovation process, from identifying unmet needs to scaling solutions in the market. It guides organizations in understanding how their innovations create value in areas such as climate action, circularity, supply chain management, and stakeholder engagement. This makes it relevant for both B2B and B2C companies aiming to enhance their impact while future-proofing their operations. Originally developed by Explorer Labs, this tool has been referenced in the past and continues to remain highly useful as businesses advance their sustainability journeys. As 2025 begins, leveraging tools like this can help organizations move from incremental improvements to transformative solutions, embedding sustainability into innovation processes that deliver lasting value. #sustainability #sustainable #business #esg #climatechange #innovation #SDGs
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🚨 BOOM - UAE and Qatar's $1.6 billions investments in quantum computing push the world to the future Sh. Zayed dreamed of a futuristic nation, Sh. Mohammed bin Thani imagined an ambitious nation. From their visions, Doha and Abu Dhabi now channel capital into qubits. Where oil once powered the world, quantum and AI will power tomorrow. And..that tomorrow is designed by Quantinuum - world’s largest quantum computing company. Here is how Qatar and UAE built their quantum capabilities. UAE national quantum infrastructure: • Technology Innovation Institute x Quantinuum • TII will use Quantinuum’s high-fidelity systems (Helios) • Expected to set new benchmarks (gate fidelity, qubit connectivity) • Khalifa University - research on hardware, quantum/AI • Mubadala, ADQ - HPC and AI quantum infrastructure • Adds to TII’s diverse quantum ecosystem, such as: - Superconducting chips (developed in-house) - IonQ’s trapped-ion processors - AWS Braket access to QuEra Computing Inc., Rigetti Computing, IQM Quantum Computers Qatar's national quantum infrastructure: • Quantinuum JV with Al Rabban Capital ($1 billion) • Quantum R&D, talent, and regional infrastructure • Training programs to build local talent in the GCC • Backed by Qatar Foundation, QRDI, QatarEnergy • Supported by QC2, QQRH (Dr. Saif Al Kuwari) • Barzan Holdings-HBKU for $10M QC2 Main focus industry areas are: • Energy optimization • Materials discovery • Genomics & precision medicine • Quantum finance & cryptography • Food security and sustainability Quantinuum's impressive capabilities: • 98 physical qubits (𝐦𝐨𝐬𝐭 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞) • 48 fully error-corrected logical qubits • 2:1 encoding ratio, thought impossible just years ago) • Gate fidelity - single-qubit 99.9975%; • 2 qubit across all pairs: 99.921% What makes Quantinuum the best player globally: • Quantum volume of >2²³ (𝐡𝐢𝐠𝐡𝐞𝐬𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲) • Its architecture is highly scalable and efficient • Present globally: US, EU and GCC • Integration with NVIDIA GB200 (high-performance apps) Quantinuum just got $850 million funding from Fidelity Investments and GCC investors, reaching a valuation of $10 billion! Doha builds ecosystems, Abu Dhabi fuels innovation. Kudos to Quantinuum leaders 👉 Waseem Shiraz, Rajeeb Hazra, Ilyas Khan
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A pivotal moment in the journey toward useful #quantum computing: IBM, the University of Chicago, QEDMA and Algorithmiq unveiled the first demonstrations of quantum advantage through trusted computations, showing that quantum computers can move beyond leading classical methods while providing new ways to assess and trust the results. I’m especially proud to see EMEA-based innovators Qedma and Algorithmiq helping drive this breakthrough, demonstrating the power of collaboration across industry, academia and regions. While these demonstrations are still academic in nature, they mark an important step toward making quantum computing useful for the world and unlocking future applications with confidence. Learn more: https://lnkd.in/e37ty_kg
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The $3 million AI system sat unused for eight months. Perfect accuracy. Impressive speed. Zero adoption. I walked into that company to figure out what went wrong. Took me about an hour to see it: → Nobody told the operations team why they should trust a machine over their 15 years of experience → Nobody redesigned workflows around the new system → Nobody gave them a reason to change what was already working The executives thought they bought an AI solution. What they actually bought was expensive software that required massive organizational change and they skipped that part… This happens everywhere. I've seen it at Fortune 100 companies with unlimited budgets and at startups burning through their Series A. Same pattern. It's completely preventable. Before you spend a dollar on AI technology, answer three questions: → Can your team explain why this change matters to them personally? → Do your workflows support how the AI actually works? → Does your culture reward trying new approaches or punish deviating from the norm? If you can't answer those clearly, organizational readiness is your problem. Not the technology. The companies winning with AI figured this out early: → They spent months on change management before the first line of code → They redesigned workflows with input from people who'd actually use the system → They built trust before they built features Technology teams hate hearing this because it's not sexy. But organizational readiness determines whether your AI initiative transforms operations or becomes another failed pilot. Follow for the reality of AI implementation that nobody else talks about. Find out more at https://vist.ly/4gvpt #ai #aistrategy #leadership #aiimplementation #changemanagement #digitaltransformation #enterpriseai
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The sources of competitive advantage are evolving. Success is no longer defined by owning single breakthrough technologies, rather by how effectively you combine them across data, people and ecosystems. That's the central finding from the World Economic Forum’s Technology Convergence Initiative’s report, developed in collaboration with Capgemini and released today. As AI, robotics, advanced materials, spatial computing and next-generation energy systems mature simultaneously, successful organizations are those that can master the orchestration, not just adoption, of multiple technologies in real-world operations. The barriers to scaling innovative solutions are no longer technical – they’re organizational. At Capgemini, we see the challenges companies face in connecting digital tools with physical operations at scale every day, while working with our clients to help them align talent, infrastructure, data and policy to capture the full value of converging technologies. You can read Technology Convergence: The New Logic for Competitive Advantage, which draws on two years’ worth of cross-industry research and real-world case studies from 12 sectors, here: https://lnkd.in/eFRSdmGc
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How can you grow innovation in an organisation that is tired and overloaded? No! Not by launching yet another innovation programme. Tired teams don’t need more. They need different. Here are 5 things to do: 1. Kill before you create You can’t grow innovation on top of a full plate. Make a stop list before a to-do list: which meetings, reports, projects and rituals will you end to free up energy for new ideas? 2. Protect small islands of focus time Innovation dies in back-to-back calendars. Block fixed “no meeting” slots or a monthly sprint where teams can work on one opportunity without interruptions. Guard this time like you guard client deadlines. 3. Shrink the ambition, speed up the learning Overloaded people fear “big transformation”. Instead, ask for tiny experiments: 1 idea, 1 customer segment, 1 simple test within 2–4 weeks. The goal is learning, not a perfect business case. 4. Change leadership behaviour, not posters Culture follows what leaders do on Monday morning. Leaders should ask: “What did we learn?” more often than “Did we hit the numbers?” and publicly reward smart experiments, even when they don’t “win”. 5. Make progress visible and human Tired organisations often are moving… they just can’t see it. Create a simple “innovation wall” (physical or digital) showing ideas, tests, and outcomes. Celebrate small wins with names and faces, not just dashboards. Innovation culture doesn’t start with energy. It starts with permission, space and small, real progress – especially when everyone is tired. #innovation #innovationculture #leadership #change #futureofwork #organisationaldevelopment