Innovation Across Industries

Mining innovation metrics can’t be the same as Apple’s. I've been thinking about why innovation in mining moves at such a glacial pace compared to tech, and it comes down to a fundamental reality that many industry consultants miss: mining is a small market with unique constraints that require different innovation approaches. When Apple first reached a $1 trillion valuation, every major mining company was about 1/8 its size. Fast forward to 2021, and BHP (the largest mining company in the world) had become 1/19th the size of Apple. Today in 2025, Apple sits at around $3 trillion while the largest mining companies have not grown in comparison. When Apple allocates just 1% of its value to R&D, that's $30 billion, more than many mining companies' entire market capitalization. They can afford to have centralized innovation teams with thousands of specialists working on next-generation technologies. They can afford to fail repeatedly because the successes will more than pay for the failures. Mining companies don't have that luxury. We can't use the same processes as Apple or Google or any tech giant because we don't have the same resources or market dynamics. For us to imagine that we can compete with Apple on a level playing field for innovation is ridiculous. This reality creates several challenges that are unique to mining innovation: First, we can't afford the same failure rates. When a technology company launches ten innovations and two succeed wildly, that's considered a massive win. In mining, we need eight or nine out of ten to succeed just to justify the investment. Second, we can't afford specialized innovation teams at the same scale. While technology companies have thousands of people focused solely on innovation, mining companies might have a handful, if they have dedicated innovation staff at all. Third, our innovation cycles are necessarily longer. We can't just push a software update to millions of users overnight. Implementing new technologies in mining involves physical infrastructure, regulatory approvals, and operational changes that take time. Fourth, our market for any specific innovation is minuscule. A tech company can sell a successful product to billions of enthusiastic consumers or millions of businesses. A mass market innovation can also be funded completely by advertising allowing it to be “free”. A mining innovation might only have a few hundred potential customers distributed around the world. It doesn't mean we should give up on innovation, quite the opposite. Instead of imitating models from tech industries that operate under entirely different dynamics, mining needs frameworks tailored to our specific constraints. Rather than criticizing ourselves for not innovating like Apple or Google, we must embrace our industry’s realities. Mining innovation should serve clear value creation, not become an end in itself.

Sustainability = Innovation 🌎 Integrating sustainability into business strategy requires continuous advancements in technology, processes, and resource management. At the same time, sustainability challenges drive research, development, and operational efficiencies that lead to new market opportunities and competitive advantages. Resource constraints drive material and process innovation. The need for alternatives to finite or harmful materials has accelerated the development of advanced composites, circular economy models, and energy-efficient production systems, improving cost efficiency and resilience. Addressing sustainability challenges requires systems-level innovation. Reducing emissions, optimizing resource use, and minimizing waste require advancements in supply chain management, product lifecycle design, and industrial processes, reshaping entire sectors. Cross-functional collaboration is critical. Sustainability initiatives require input from engineering, data science, regulatory compliance, and finance to develop integrated solutions that meet environmental targets while maintaining operational and commercial viability. Data-driven approaches enhance sustainability performance. Measuring environmental impact enables companies to identify inefficiencies, optimize resource allocation, and refine business strategies based on quantifiable sustainability metrics. Long-term sustainability targets drive investment in research and technology. Businesses are accelerating development in areas such as AI-driven resource optimization, carbon capture, and next-generation materials to align with regulatory requirements and market expectations. Nature-based solutions provide scalable innovation opportunities. Biomimicry has led to advancements in self-healing materials, passive cooling systems, and regenerative agricultural techniques, improving efficiency and resilience across industries. Sustainability is reshaping business models. The transition to circular economy principles, service-based models, and regenerative supply chains is driving competitive differentiation and long-term value creation. Innovation is fundamental to achieving sustainability objectives. The convergence of regulatory frameworks, technological advancements, and market shifts is reinforcing the role of sustainability as a driver of industrial transformation and business resilience. #sustainability #sustainable #business #esg #climatechange

Sometimes the boldest ideas start with being completely broke. In 2025, French entrepreneur Dagobert Renouf faced a classic dilemma: he wanted a meaningful wedding but couldn’t afford it. Instead of going into debt or scaling back, he did something unconventional. He sold advertising space on his wedding tuxedo. He posted the idea online, set clear pricing based on logo placement, and within weeks 26 startups said yes. Companies like Comp AI, Inbox Zero, FeatherFlow and others paid to have their logos embroidered on his suit. On his wedding day, he walked down the aisle as a walking billboard for the indie hacker community. The result: Roughly $10,000 raised. After the custom suit and taxes, he walked away with a free tuxedo and about $2,000 in his pocket. What I love about this story isn’t just the creativity, it’s the mindset. Dagobert didn’t wait for perfect conditions. He didn’t ask for charity. He created a clear value exchange: visibility for the startups in exchange for support. He treated a personal milestone as a marketing opportunity without losing the joy of the day. And the community responded because the idea was bold, transparent, and fun. In a world that often rewards playing it safe, this is a reminder: Constraints can be the best catalysts for innovation. A simple, well-packaged ask can open doors you didn’t know existed. And sometimes the most memorable brand campaigns aren’t planned by agencies, they’re invented by people who simply refuse to stay stuck.

There’s a shift happening in our discussions with customers about digital transformation. We're actively observing the unfolding of the Industrial Metaverse, propelled by foundational technologies like Digital Twin and IIoT, alongside simulation, automation, and AR/VR. These technologies are not future aspirations; they're present-day tools, forming the building blocks of the Industrial Metaverse today. In a recent Forrester study conducted by Paul Miller and Martha Bennett, we learned that an impressive 55% of business and technology professionals in production and manufacturing organizations are planning to adopt metaverse technologies within the next 12 months. So, what is the Industrial Metaverse? It's a place where engineers make quick decisions using accurate and robust data in a real and virtual space, collaborating, and interacting with a comprehensive digital twin. It allows us to visualize the digital twin in its real-world context, gain insights in a realistic environment, and collaborate in real-time to make immediate changes. Companies are now harmonizing data that was once fragmented across various applications, creating a unified "single pane of glass." This unified platform facilitates collaboration, interaction, and full immersion into a digital representation where real-world physics and data transform the digital experience into something incredibly lifelike. This empowers companies to connect their workforce, suppliers, and customers, forging a new path for future business endeavors. The journey has started. The Industrial Metaverse is taking the comprehensive digital twin to the next level – showing how operational data, plant information, geospatial insights, simulations, and 3D data can be combined to provide a genuine real-world perspective.

Constraint is the mother of innovation! It’s easy to assume innovation comes from abundance. From deep pockets. From having it all. Big companies with big R&D budgets. Major brands with their elite creative agencies. That's would make sense, right? Ironically, it's actually the opposite. True innovation thrives in constraints. It's born in the corners where resources are tight. When you can't match your competitor's wallet, you better outmatch their creativity. Limited resources force clever solutions.  They demand ingenious workarounds. They spark unconventional thinking. Look at Google's early days. Memory constraints forced them to build a search engine that ran on less than 8MB. Why? Because they needed to work on 90% of computers back then. That constraint? It pushed them to create something that would change how we access information forever. Or take Airbnb during the 2008 crash. No funding? No problem. The founders got creative - selling presidential candidate themed cereal boxes. That scrappy move kept them alive and caught media attention. IKEA's iconic identity was born from a constraint. Shipping costs were killing them. Their solution? Flat-pack furniture. A limitation transformed into an innovation that changed an industry. When you can't match your competitor's wallet, you'd better outmatch their ingenuity. Can't outspend? You navigate uncharted waters. You take calculated risks. You write new rulebooks. I've worked with hundreds of companies. The well-funded ones? Often the least innovative. At cocreatd, we encourage our founders to embrace constraints. Having less means creating more!

Life Hack 22 | Stealing Genius: Innovate by Borrowing from the Unrelated I’ve always struggled to understand innovation. Does it happen through a structured process, or is it intuitive? Can you train yourself to be innovative, or is it an inherent trait? Is it a habit, an art, a science, or a combination of all these? My journey over the last 40 years has been an exploration of these questions, often leading me into the dark corners of the maze of innovation. I'm still trying to figure it out. My first brush with innovation was far from a success. I launched a nail polish remover box where you put in your finger, rub it, and—voila!—the polish is gone. But it wasn’t just the polish that disappeared; mechanical engineers like me should not meddle with chemistry. That failure taught me that copycat innovation fails faster than you think. It is fascinating to believe that innovation doesn’t grow on trees or hide under bushes waiting to be discovered. The best ideas often come from the most unexpected places. Take Velcro, for example. It was inspired by burrs sticking to a hiker's clothes. Barbed wire was developed by mimicking the thorny Osage orange tree. Penicillin was discovered by Alexander Fleming when he noticed that a contaminated petri dish had killed the bacteria around it. These examples show innovation doesn't happen in isolation; it requires inspiration from diverse and unrelated fields. My own journey has witnessed three big attempts at disruptive innovation, each a decade apart. The first in 1995 was a product innovation through the creation of Remote Infrastructure Management (RIM), which later grew into a multi-billion-dollar industry. The second in 2005 was cultural innovation with the birth of the "Employees First, Customer Second" approach, a philosophy influenced by observing the cultural transformation of Japanese car manufacturers, who revolutionized their industry by empowering their workers and focusing on continuous improvement. The third in 2015 was the biggest, a mega-scale social transformation through Sampark Smart Shala where we created rechargeable audio devices with Sampark Didi's enchanting voice teaching through songs, stories, and music, bringing pure joy back into the classroom! Innovation thrives on inspiration from the most unexpected places. Other than diverse sources of inspiration, embracing serendipity is crucial; being open to unexpected connections can spark brilliant insights. Diverse teams with varied backgrounds can create solutions that homogeneous groups might miss. Experimentation and iteration are essential; innovation is a continuous process of testing, learning from failures, and refining ideas. Innovation isn’t about following a specific formula. It’s about drawing inspiration from diverse fields and being open to new ideas. So, look beyond your domain, embrace serendipity, and let unrelated ideas inspire your next breakthrough. #LifeHack #ThinkOutsideTheBox

Mining companies once defined success by extraction volume. The largest operations with the biggest reserves won, as physical capacity set the pace for decades. Now the constraint has shifted. In 2026, Global Mining Review notes, leaders aren't always the biggest; they're the ones connecting geological, operational and financial data. That integration enables quick decisions on maintenance and costs. Smaller miners, unburdened by legacy systems, adopt AI faster and outpace larger rivals by avoiding technical debt. I see the same pattern outside mining as well. Manufacturing, energy, logistics. The companies still measuring success by output volume are optimizing an old metric. The ones measuring how fast trusted data reaches a decision-maker are building a different kind of advantage. Data leadership now matters more than scale. Turning raw information into operational insight beats simply having more assets, because integrated data drives better decisions than isolated reports. 🔹 Investors are evaluating digital maturity alongside project potential. Companies producing accurate, data-driven performance and ESG compliance reporting are earning greater credibility and better funding terms because transparency has become a prerequisite for capital. 🔹 People stay central, but their roles are shifting. Forward-thinking firms are investing in workforce development that blends engineering knowledge with data interpretation because the next generation of operators needs both. Predictive operations replace scheduled routines. AI spots maintenance needs, boosts energy use, and forecasts better than schedules ever could. The companies approaching AI to improve predictability rather than replace experience are finding the most durable value. The ones still measuring leadership by volume alone will keep spending more to achieve less. Every industry built on physical assets is facing the same inflection point. The question isn't whether data integration matters. It's whether your organization can move faster than the legacy systems holding it back. #Mining #EnterpriseAI #DataIntegration #AssetManagement #OperationalExcellence #AIAdoption #DigitalTransformation #Sustainability #IndustrialAI #Leadership #BusinessStrategy #COO

As leaders, we face a perpetual challenge: how do we take complex, abstract ideas and make them resonate with our teams? I've learned that one of our most powerful tools is our ability to draw meaningful connections to experiences we all understand. When confronted with uncertainty, our minds naturally search for familiar patterns, seeking wisdom from past experiences - analogies. This isn't just instinct, it's a sophisticated cognitive tool. Analogical thinking is the art of drawing meaningful parallels between past experiences and new challenges to gain clarity and make better decisions. A very interesting case study comes to mind. When Reed Hastings (co-founder of Netflix) stood at Netflix's crossroads in 2007, he used analogous thinking to navigate the situation. He saw a parallel in the textile industry. In the early days of industrialization, textile manufacturers powered their factories with in-house energy plants. They saw these power plants as critical to their operations. But when centralized electricity grids became available, the manufacturers who clung to their private power sources struggled, while those who adopted the new grid, thrived. The lesson? Generating electricity wasn’t their true strength; producing textiles was. Reed Hastings applied this same thinking to Netflix in 2007. At the time, Netflix was primarily a DVD rental business, but streaming technology was emerging. Hastings realized that, like the textile companies, Netflix’s real strength wasn’t in distributing physical DVDs but it was in delivering entertainment. Just as the most successful textile companies let go of in-house power generation to focus on production, Netflix needed to let go of DVDs and embrace streaming as the future. This analogy helped Hastings and his team make a difficult but transformative decision: prioritizing streaming, even when it meant disrupting their own successful DVD business. This kind of analogolical thinking shows how the richest insights often come from unexpected connections across different industries. The most powerful analogies don't provide ready-made answers. They offer new ways of seeing and understanding our current challenges. When wielded with caution and awareness, analogical thinking becomes a bridge between past wisdom and future innovation, helping us guide our teams through uncertainty with both confidence and humility. What analogies are shaping your leadership decisions today?

As we prepare to launch Water & Music's "State of Data in the Music Industry 2024" report this week, I wanted to share why I'm particularly excited about this research and its implications for the future of the music business. Historically, Water & Music has focused on covering emerging music-tech trends like AI, Web3, metaverse, and gaming. Our upcoming report takes a different approach, diving deeper into the fundamental issue underlying all of these innovations: Data strategy. Below are just a handful of examples of the second-order effects that a good (or bad) data strategy can have on music tech innovation: 🤖 Music & AI: The effectiveness of your AI strategy hinges on the quality of your underlying data. This isn't just about having more data — it's about having the *right* data, properly structured and transparently sourced. The importance of data quality and valuation is at the heart of the ongoing lawsuits between rights holders and AI companies (e.g. major labels vs. Suno and Udio). 💲 Music & Web3: By definition, blockchain strategy IS data strategy, especially when it comes tracking music rights and fan behavior on-chain. A blockchain won't magically improve poor-quality data; it's a garbage-in, garbage-out system that will only make poor-quality data more immutable and harder to correct. 🏟 Music & Superfans: From streaming and social media to e-commerce and live events, the current fan data landscape is incredibly fragmented, with each channel offering a unique perspective on fan behavior. Success with digital fandom depends on your ability to integrate these diverse data sources into a cohesive fan strategy and journey, while respecting platform limitations and privacy concerns. 🎵 Music & Catalogs: While not often framed this way, the uncertain future of catalog acquisitions is, at its core, a data issue. This goes beyond just projecting catalog performance based on consumer behavior. It extends to managing the intricate web of music copyright itself — ensuring proper royalty collection across various rights types, and accurately accounting for ownership changes across royalty systems. These unglamorous but critical aspects of catalog management all hinge on robust, reliable data infrastructure. All to say... Our State of Data report isn't just a snapshot of where we are — it's a roadmap for where we're heading. Understanding the current state of music industry data can help us better prepare for the technological shifts on the horizon. I can't wait to have you all dive in. Sign up for our free newsletter to be the first to receive the report's executive summary: https://lnkd.in/ejzkJ8WF Water & Members will get full access to the entire report, including chart visualizations, detailed tool rankings, and other behavioral insights. Peep the comments to learn more! 🤓 #musicindustry #datastrategy #musictech #musicai #musicbusiness #musicbiz

Mining, Technology & Training The mining sector has always been fertile ground for technological adoption—optimising activities from exploration to production. Over my 28+ year career, I’ve witnessed breakthroughs that transformed how we extract value from the earth. Some innovations exceeded expectations, while others fell short of ROI. A quick snapshot of the journey includes, but is not limited to: • 2000–2009: Digitising pits & plants • 2010–2016: Autonomy + remote operations (e.g., driverless haul trucks) • 2017–2019: Advanced analytics, ore sorting, safer tailings management • 2020–2022: Electrification & integrated data systems • 2023–Present: AI copilots, digital twins, and low-impact recovery methods With every leap, the sophistication of machinery has demanded equally skilled people. Today, predictive maintenance, AI-assisted safety systems, and machine learning are helping reduce downtime and ensure incident-free operations. The real game-changer? Firms that pair state-of-the-art machinery with continuous workforce upskilling. Imagine turning tailings into refined minerals in record time—boosting both operational efficiency and investor returns. For both new entrants and seasoned professionals, the message is clear: keep learning, keep adapting. The future of mining will belong to those who can harness technology and human expertise in tandem. Your thoughts and insights are welcome—let’s grow together. #mining #technology #training