Want to know more about dual-use technology? Check out our previous blog about How dual-use innovation fixes Europe’s defense innovation bottleneck!

Step 1: Start with the operational need

Every successful innovation journey starts with the mission, not the technology. Begin by identifying the specific operational challenge you want to solve. Are you trying to improve situational awareness? Reduce risks for soldiers? Secure critical infrastructure?

A well-defined need provides a clear filter for evaluating potential solutions. Rather than chasing the latest technology, you build a focused pipeline of capabilities that directly support operational objectives.

Step 2: Translate the need into capability requirements

Once the mission is clear, translate it into concrete technical and operational requirements. Consider factors such as performance under extreme conditions, ruggedization, SWaP constraints, cybersecurity and interoperability.

A commercial product might work flawlessly in a civilian setting but may fail on the battlefield. The goal of this step isn’t to copy civilian technology, but to adapt it intelligently so it can succeed in demanding defense scenarios.

Step 3: Scout beyond the traditional defense ecosystem

Many of today’s most promising technologies originate outside the defense sector. Start-ups, space companies, AI developers, and advanced manufacturing firms are pushing the boundaries of innovation and hold capabilities ripe for transfer.

That’s why broadening your scouting search increases the chances of finding faster, more cost-effective solutions. Structured initiatives like open calls for innovation challenges, hackathons, and accelerators are vital for engaging these non-traditional innovators.

Step 4: Evaluate technology maturity and mission fit

Finding an innovative solution is only the beginning. The next question is whether it can realistically meet operational demands. You should assess both technical maturity and mission relevance. Is it secure? Can it integrate with legacy systems? Does the supplier have the bandwidth to support long-term defense applications? Focusing on these questions helps identify the technologies with the clearest, most viable path to operational readiness.

Step 5: Test early, realistically, and repeatedly

In general, assumptions should be challenged as early as possible. Field trials, simulated operations, and technical assessments all can provide the evidence needed to validate performance before major investments are made. Early testing also exposes integration challenges, security vulnerabilities, and operational limitations before heavy investments have been made.

Early structured validation can reduce late-stage acquisition failure rates by up to 40%.

Step 6: Adapt and ruggedize the solution

Turning commercial technology into defense capability requires far more than minor modifications. Hardware must be ruggedized, cybersecurity strengthened, data protected in GPS-denied environments, and power consumption optimized.

This step demands multidisciplinary expertise across mechanics, electronics, AI, and system architecture. The strongest solutions are fully integrated systems, not isolated tech.

Step 7: Plan for integration from the start

A tool that can’t communicate with your operational environment is useless. Integration and interoperability should therefore be treated as a strategic design principle from the outset, not as a final implementation task. It’s the only way to guarantee that new solutions integrate seamlessly with existing platforms, command structures, and secure networks.

Step 8: Build organizational absorption capacity

Technology alone does not create innovation. Organizations also need the right processes, structures skills, procurement flexibility, data security knowledge and governance to adopt new capabilities successfully.

Without that internal capacity, even the promising technologies often struggle to move beyond pilot projects, regardless of their technical potential.

Step 9: Bridge the gap from prototype to production

Many promising innovations stall in the so-called ‘valley of death’ between successful demonstration and operational deployment. A working prototype may prove feasibility, but it says little about production quality, scalable manufacturing and secure European supply chains.

Questions about manufacturing capacity, supply chain resilience, maintenance, and lifecycle support should be addressed early. After all, a capability only delivers strategic value if it can be produced, deployed, and sustained over time.

Step 10: Create a repeatable innovation pipeline

Organizations that consistently outperform others do not rely on isolated innovation projects. Instead, they establish repeatable processes that continuously connect operational needs with market intelligence, technology validation, and industrial scaling.

By connecting dual-use innovation into a structured pipeline, with market intelligence, technical validation, and industrial scaling, defense organizations can respond more quickly to emerging threats while maintaining a lasting strategic advantage.

How Verhaert supports dual-use adoption

Verhaert guides defense organizations and contractors through the entire dual-use journey. From defining capability needs and scouting emerging tech to ruggedizing systems and industrial scaling, we bridge the gap between commercial innovation and operational readiness.

Our multidisciplinary expertise spans space, cyber, medical, and autonomous systems.

• For defense forces: Faster access to relevant, deployable technologies.
• For contractors: A robust innovation pipeline and scalable engineering capacity.
• For Europe: A fortified, sovereign technology base.

Don’t let your innovations die in the ‘valley of death’. Ready to turn commercial innovation into strategic advantage? Book a consultation with Verhaert’s defense engineering experts to build a secure, scalable and repeatable dual-use adoption pipeline.

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Cooling, the hidden engine of product performance

Cooling is one of the most complex and underestimated technologies in product development. While heating is relatively straightforward, removing heat efficiently, affordably and sustainably requires deep scientific insight and system-wide thinking.

Success lies not in isolated choices but in orchestrating every element; from selecting the right cooling technology (vapor compression, thermoelectric, passive) to balancing temperature control, component choices and environmental impact. When viewed as a whole, you turn cooling into an enabler of performance, precision and user delight.

This system-level approach has delivered successful products across a variety of industries, including home appliances like ice-cream makers or beer taps, wearable air-conditioning and high-precision medical devices. Developed in close partnership with forward-thinking companies like AB InBev, Nestlé, Coca-Cola and imec, more than 80.000 functional devices now demonstrate what’s possible when cooling is seen as a strategic asset.

New demands on innovation: comfort, precision, sustainability

Consumers and industries alike are setting higher expectations: greater comfort, higher precision and more responsibility toward the planet. Cooling technology sits at the heart of meeting these ambitions, whether it’s through creating energy-efficient appliances, improving portability or reducing environmental impact.

The challenge lies in finding the optimal solution for each specific context. Cooling is never a one-size-fits-all solution. Each innovation journey requires carefully managing trade-offs: choosing between vapor compression or Peltier cooling, selecting the most suitable compressor, and designing an effective thermal management strategy. Aligning these technical choices with broader product and business goals is key to creating meaningful and lasting innovation. As a vital part of a product’s DNA, cooling reveals its true potential.

Driving cooling innovation through system thinking

Breakthrough innovation rarely comes from focusing on individual parts. It happens when you see the whole picture; when technology, design and market understanding come together in harmony.

Cooling is no exception. A holistic, system-wide approach allows businesses to transform complex ideas into scalable, manufacturable products that meet real-world needs. This mindset opens the door to new product families, greener solutions and entirely new market segments.

Ultimately, true innovation isn’t just about controlling temperature; it’s about pushing boundaries, solving problems that matter, and shaping the future through better products.

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PIML stands at the intersection of data and natural laws. Where classic machine learning models learn purely from data, PIML adds a crucial layer: physical knowledge. Integrating these physical principles – think heat conduction, forces, flows — directly into the model creates a powerful hybrid that is smarter, more reliable, and much more efficient.

Why Physics-Informed Machine Learning makes a difference

For many companies, the challenge lies not in finding ideas but in translating them into robust products. Traditional development methods face their limits: slow iterations, endless testing campaigns, and a lack of scalability.

PIML breaks this pattern. By deploying a physics-informed model already during the initial design phase, you can make accurate predictions about a system’s behavior with limited data. So you don’t have to make thousands of measurements or do endless testing – the model already knows what is possible because it understands the laws of nature.

And that opens new doors.

• You can accurately estimate complex parameters such as temperature or pressure, even when direct measurement is impossible.
• You discover more quickly which design choices lead to failure probabilities or performance degradation.
• Your development cycle becomes shorter and more powerful: fewer iterations, fewer test failures, more learning capacity.
• You build systems that not only perform under ideal conditions but also remain robust under stress, variation, or unexpected situations.

Design faster, improve smarter

In practice, this means that companies like Verhaert do more than validate designs; we also take the time to truly understand them. Using PIML models enables you to predict component interactions, reduce error margins, and even optimize sensor placement – all before a physical prototype is built.

Innovation thus becomes not only faster but also bolder. Because when you know that your models give reliable predictions, you can take more risks in your design. You no longer have to test everything with brute force. You rely on insight.

Innovation is no longer a coincidence

With physics-informed models, product innovation takes on a new meaning. It’s no longer a guess but a thoughtful process. You’re not just developing a product – you’re building a system that understands how it will behave even before you build it.

For companies that want to be at the forefront of R&D and complex technology, now is the time to embrace PIML. Not just as a tool, but as an accelerator of vision.

The future demands robust products, designed in less time and with more certainty. Physics-Informed Machine Learning is the engine that makes this future possible.

What if your designs already followed the laws of physics? How would that change your innovation process? Let’s start the conversation on how PIML can transform your development process.

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1. Automation is no longer optional; it’s the next big leap

Across the halls, one megatrend stood out: the accelerating shift toward hyper-automation. From AI-driven predictive maintenance to high-speed robotic systems, it’s clear that the industry is leaning heavily toward digital tools to boost efficiency and precision. We noted particularly compelling technologies, such as magnetic levitation systems designed to reduce friction and lower energy consumption, that point to real gains in both performance and sustainability.

For organizations navigating these changes, the challenge lies in identifying which technologies offer measurable value and how to implement them effectively within existing operations. It’s a complex landscape, but one that offers real opportunity for those willing to explore, adapt, and invest with purpose.

2. Humanoid robots: hype or hope?

From packaging tasks to performing simple functions in unpredictable environments, humanoid robots were one of the more attention-grabbing developments at this year’s fair. While widespread adoption is likely still several years off, the technology is advancing quickly, and its potential applications are broadening.

Unlike traditional robots optimized for fixed, repetitive tasks, humanoids are being designed for more flexible roles in dynamic settings, such as logistics, agriculture, or construction. They’re not intended to replace existing automation but to fill gaps where adaptability and environmental awareness are required.

For organizations exploring automation strategies, this emerging category raises important questions about ROI, technical feasibility, and integration. While the hype is noticeable, it’s also a moment to start thinking critically about where and when these systems might offer practical value for your organization.

3. Digitization + AI = The real industrial revolution

Digitization is no longer a future ambition, it’s the underlying infrastructure of today’s industrial landscape. From expansive cloud platforms to AI-powered simulation tools, the integration of digital technologies is reshaping how products are designed and manufactured.

This wave of change is more than technology, it’s an organizational shift. It calls for cross-functional collaboration, open innovation, and bold experimentation to bridge digital and physical worlds, whether through AI, software-defined hardware, or integrated engineering platforms. For many, the path forward to connected ecosystems involves navigating complex questions and breaking down siloed thinking.

Rather than viewing digitalization as a one-time investment, it may be more useful to see it as a long-term transformation. One that requires both strategic clarity and operational flexibility.

4. Hydrogen: From hype to hard reality

Hydrogen technologies have clearly moved beyond the prototype phase. At Hannover Messe, we saw practical, scalable solutions – such as Bosch Rexroth’s liquid hydrogen station operating at -270°C and 900 bar – that reflect growing maturity and industrial relevance. Use cases are expanding across mobility, energy infrastructure and industrial systems.

As organizations face mounting pressure to reduce CO₂ emissions and meet evolving climate regulations, hydrogen is emerging as a critical enabler. Not only in energy strategies but also in how products are conceived and developed. For innovators, this presents an opportunity to build hydrogen-ready systems and components that can help customers meet sustainability goals without compromising performance or cost-efficiency.

The key question isn’t just how to adopt hydrogen technologies, but how to embed them into products that give end users a competitive edge. That’s where product innovation plays a central role: turning emerging capabilities into market-ready solutions that solve real problems and create measurable value.

5. Industry 4.0 is evolving, let’s embrace Manufacturing-X

The vision of Industry 4.0 is evolving into something more integrated and ambitious: Manufacturing-X. This emerging framework brings together AI-driven insights, cognitive ergonomics, digital twins, and open data ecosystems to create manufacturing that’s smarter, faster, and more responsive. It’s not just about improving existing processes; it’s about fundamentally rethinking how products are designed, made, and brought to market.

For product innovators, this means embracing greater agility and intelligence throughout the entire product lifecycle, from virtual prototyping to gathering real-time field data. The result? Products that are more adaptive, user-centered, and capable of meeting ever-changing customer demands and market conditions.

The core technologies – smart sensors, robotics, 5G, and integrated IT/OT systems – are already within reach. The real challenge is how to orchestrate them to create products that don’t just function well, but that win in the market. This shift requires a new way of thinking: moving from isolated solutions to designing systems, from automation to intelligence, and from simply efficiency to broader ecosystem thinking.

Innovation with purpose: Seen at Hannover Messe

True innovation isn’t about following the latest trends; it’s about solving real problems with the right tools, at the right time. What stood out at Hannover Messe wasn’t just the technology on display, but the clear direction emerging across industries: companies are focused on finding smarter, more efficient ways to build, operate, and deliver products that truly matter.

From creating cleaner energy systems to integrating AI in manufacturing and rethinking the way digital and physical worlds merge, the opportunity lies in turning complex challenges into competitive advantages. This is where true product and digital innovation happen: developing solutions that not only meet today’s needs but also give your customers a clear edge in a fast-evolving market.

As organizations face new challenges and rising expectations, the key to success will be the ability to innovate with purpose: combining strategy, technology, and user-centric insight to create outcomes that go beyond technical solutions and deliver genuine value. If you’re ready to take the next step in transforming your products and digital capabilities, we’re here to support you. Let’s collaborate to turn your vision into real, impactful solutions that lead the way in tomorrow’s market.

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Requirements management: Key in complex product development

Today’s products are more advanced than ever. They combine hardware, software, connectivity, and intelligence in ways that push technical and regulatory limits. As innovation grows more layered, so does the challenge of keeping everyone, from engineers to executives, on the same page.

Take, for example, a company designing a reusable, traceable shipment box as an alternative to cardboard packaging. What starts as a simple idea quickly becomes a web of interconnected requirements. To enable tracking, the box needs embedded electronics, which leads to durability and waterproofing challenges. Cybersecurity adds another layer: encrypted data must be secure, but the interface must remain accessible. Meanwhile, sustainability targets demand that the box be reused a certain number of times to offset its environmental impact. That, in turn, raises questions about repairability, modularity, and material selection.

This is where requirements management proves its value. It translates technical needs, product constraints, and stakeholder expectations into a shared understanding. From the first sketch to the final validation, it reduces risks and guides development with clarity. In fast-paced, high-stakes environments, it’s no longer optional. It’s the key to building products that deliver on their promise.

Why do bigger teams demand clearer communication?

As products become more sophisticated, so do the teams building them. Developing that smart shipment box involves dozens of specialists: software engineers, hardware designers, compliance officers, UX teams, supply chain managers, and more. Each brings a unique perspective, but without a common framework, collaboration can easily unravel.

That’s where structured requirements come in. They align diverse voices and disciplines, turning complex input into actionable direction. Requirements ensure that everyone is speaking the same language, reducing confusion and keeping the project moving forward. Without them, a team optimizing the electronics might inadvertently complicate repairability, or a push for added security might damage usability. Requirements management brings order to that chaos. It links strategy to execution, ensuring everyone’s working toward the same outcome, not just the same deadline.

Develop products with purpose from the start

Requirements aren’t just for documenting what the product should do, they shape how the product gets built. Early choices define architecture, influence cost, impact sustainability, and can even steer a company’s business model.

In theory, the shipment box had it all: reusability, repairability, and traceability. Reinforced materials extended its life, modular components made repairs easier, and embedded sensors were shielded against moisture and shock. But then gravity intervened. On high-speed conveyor belts, the unit wobbled, lost balance, and tipped over. Why? Because the electronics module, housing the battery and camera, was mounted on top.

It wasn’t a design flaw. It was a missing requirement. No one had asked how a fully loaded, top-heavy unit behaves under the acceleration of automated transport systems. If the logistics team had been involved early on, or if conveyor dynamics had been mapped as part of the environmental intake, the risk would’ve been clear.

That’s the thing about requirements management: it’s not about specs and features, it’s about mapping all requirements, including real-world handling environments. With full visibility early on, teams avoid costly rework and build smarter from the start.

Building resilience, agility, and trust

Good requirements management creates transparency. It documents not just what a product does, but why it does it. This gives teams the context they need to adapt responsibly when priorities shift or constraints tighten.

Just as importantly, it fosters trust. Internally, it aligns developers, designers, and decision-makers. Externally, it ensures that customers receive a product that performs as promised, whether that’s a shipment box that protects goods and data across dozens of uses or a medical device that meets critical performance thresholds. Fewer surprises. More confidence. And, in the end, stronger loyalty.

Strong start with requirements management to create winning products

Clear, well-managed requirements are more than a project deliverable, they’re a strategic asset. They bring focus, enable agility, and give innovation a strong foundation. They reduce costly detours and provide teams with a roadmap to build with confidence.

Requirements don’t eliminate change, they make it manageable. They help teams assess impact, adapt with confidence, and keep the product on track.

The products that win in the market are the ones built with clarity from the start. So if you’re aiming to create something that lasts, start with the foundation. Master requirements management, and give your ideas the structure they need to succeed. Ready to take control and steer toward a winning product?

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The hidden cost of playing it safe

At Verhaert, we’ve not just observed this trend in the beauty industry, but across the entire FMCG and consumer market. Over the past year, large companies have become noticeably more risk-averse, opting for small updates instead of pursuing bold, breakthrough products. This cautious approach is influenced by various factors: post-COVID economic shifts, surging ingredient costs, evolving regulatory requirements, and consumer spending patterns that favor tried-and-true products over innovations.

However, choosing safety over innovation comes with hidden risks. Continuous innovation is the key to sustainable differentiation. When brands fall back on incremental updates, the gap between budget and premium offerings starts to close. The recent surge in ‘beauty dupes’ and store-brand purchases illustrates this trend: consumers who try these lower-cost alternatives may not return to premium brands even as their finances improve. According to an EY study, 38% of consumers now prefer these alternatives, a shift that could be difficult to reverse.

Reigniting innovation in beauty

So, what’s the way forward? Beauty brands looking to reignite their innovation pipelines are adopting several strategies:

1. Strategic acquisitions with a purpose

Corporates are increasingly acquiring start-ups with unique products or advanced technologies. L’Oréal, for example, partnered with Gjosa to pioneer water-saving beauty tech, and Givaudan acquired Myrissi for its innovative AI that visualizes scents. While acquisitions can fill innovation gaps, companies must acquire with a clear growth strategy rather than just expanding their portfolios.

2. Tapping into emerging markets

Emerging markets in Asia, the Middle East and Africa often reveal overlooked consumer needs and trends. By drawing inspiration from these regions, beauty brands can access fresh ideas and create products that address untapped global demand.

3. Investing in beauty tech for personalization

Beauty tech is booming, with the market projected to grow at an impressive CAGR of 18.6% through 2030. Cutting-edge technologies such as AI, augmented reality (AR), and 3D printing are redefining the beauty experience. For example:

• AI and AR: virtual try-ons and personalized skincare routines make the shopping experience interactive and tailored.
• Wearable beauty devices: products like UV trackers and smart rings analyze skin health, providing insights on sun exposure, skin damage and more.
• 3D printing: tools like the Mink 3D printer allow consumers to create custom cosmetics on demand, setting a new standard for personalization.

Embracing bold innovation for future growth

In today’s evolving market, innovation is more than just a trend, it’s the lifeline for beauty brands looking to build and sustain brand loyalty. Those who continue to lean on incremental changes risk blending into a sea of sameness, while brands that embrace disruptive tech, explore emerging markets, and pursue strategic acquisitions stand to differentiate themselves and capture consumer interest. For beauty brands, the choice is clear: those who dare to innovate, to reimagine what’s possible in beauty, will not only survive but thrive in the years to come. It’s time to move beyond safety and step into a future of beauty that’s bold, personalized and impactful.

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Smart bikes: solving challenges for riders, cities and the planet

Smart bicycles are transforming the way we ride. They blend cutting-edge technology with human-powered mobility to tackle today’s needs: sustainability, fitness, safety and convenience. By embedding IoT, AI and real-time connectivity into the product innovation process, these bicycles become far more than a means of transport. They’re a rider’s partner in reaching health goals, navigating city streets and staying connected. Beyond the rider, smart bikes help cities reduce traffic congestion, improve air quality and support sustainable urban planning, all while contributing to a greener, healthier planet.

5 innovative features powering the smart bike for the day after tomorrow

Health integration transforms the rider’s ride into a fitness powerhouse. Built-in sensors in the handlebars or seat track your heart rate, oxygen levels, stress, cadence and calories burned. Paired with apps, the bike becomes a personal coach, giving real-time feedback and tailored advice. It creates custom workout plans based on personal goals, progress and data, offering challenges, intervals or recovery rides. Picture cycling to work at 30 km/h with a heart rate of 130 bpm, adaptive algorithms adjust the electric assist to keep you on track. A voice assistant might even guide you, reminding you to tweak your pace or posture for top performance. After your ride, your fitness app analyzes everything, offering tips on stretching, nutrition and recovery to help you train smarter and feel great.

Navigation and safety features make the smart bike a trusted travel companion. GPS and augmented reality displays guide the rider safely through city streets, while a heads-up display on the handlebars shows clear directions and route changes without creating distractions. Intelligent lights adjust brightness and direction to the current speed and surroundings, boosting visibility for both the rider and others. Proximity sensors and cameras will ensure awareness of nearby vehicles, pedestrians and obstacles, sending instant audio or vibration alerts to avoid accidents. It’s a smarter, safer way to commute, every ride.

Digital locking and anti-theft features make parking the smart bike worry-free. IoT-enabled locks let the rider secure and unlock the bike remotely using an app. If it’s stolen, GPS tracking pinpoints its location and can be shared with law enforcement for quick recovery. Sensors detect tampering, sending instant alerts to the phone connected and triggering a loud alarm to scare off thieves. Plus, a connected network of smart bikes notifies nearby riders if the stolen bicycle is spotted. Need to share the bike? Grant access through the app and track it in real-time. It’s the perfect mix of security, control and convenience.

Weather and traffic alerts keep the rider one step ahead on every ride. Real-time updates on weather, air quality and traffic conditions help select the safest, fastest and most comfortable route. With this feature, they’ll always know when to pack a raincoat, avoid congested areas or find a cleaner air path for a better commute.

Crash detection and emergency alerts have the rider’s back when it matters most. Smart sensors instantly tell the difference between a little bump and a serious fall. Apps automatically alert emergency contacts and first responders, so help gets there fast. Need extra support? A community SOS network connects the rider with nearby riders who can lend a hand. Plus, an AI assistant steps in to guide in fixing crash damage or even a flat tire. With these features, they’re always covered, no matter what the road throws their way.

Enhancing user interaction toward a tailored experience

Smart bikes offer a customizable experience by syncing with user profiles. Fitness enthusiasts can sync heart rate and performance data with wearables or favorite fitness apps. Urban commuters get seamless integration with communication preferences, like text-to-voice notifications during rides or muting distractions. Additionally, riders can even pre-set features like automatic light activation at dusk or routes optimized for their go-to destinations.

Innovation driving the smart bike revolution

The smart bicycle exemplifies how mobility and digital ecosystems can converge to create a healthier, safer and more efficient way of living. It’s more than just a smart choice, it’s a visionary leap into the future of cycling. As a prime example of how to innovate for the day after tomorrow, the smart bike demonstrates the power of integrating transformative features from the start of product innovation development. By thinking ahead, it becomes more than a vehicle; it’s a seamless extension of the rider’s connected world, paving the way for a revolutionary cycling experience.

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Personalized healthcare has the potential to revolutionize how we approach treatment effectively, not only by improving lives but also by reducing costs and pressure on professionals. Regardless of all the benefits, game-changing breakthroughs remain just out of reach. In this session, we’ll take a closer look at the hurdles holding us back and explore the challenges that come with making treatments truly personalized. Through real-world examples and innovative solutions, we’ll discover how to finally unlock the full potential of personalized healthcare. Check out the presentations from the Innovation Day of 2024 on:

• Advanced diagnostics, from technology to impact
  By Didier Beghuin, CTO at Lambda-X High-Tech Innovation
• Risk management in next-gen (medical) product development
  By Thomas Degreef, Consultant PhysicsLab and Margo Billen, Consultant PhysicsLab at Verhaert Product Innovation

View the presentation

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As robotics become essential to meet labor needs, the demand for precision and fail-proof solutions is skyrocketing. So why aren’t these autonomous solutions getting adopted more quickly? Well, these robotic systems tend to be complex. Tackling ever-changing variables in the use case and environment requires an integrated, customized approach. In this track, we’ll dive into the exciting world of Industry 4.0, exploring how to cut through the complexity and bring these game-changing solutions to market. Faster, smarter and ready to achieve rapid impact. Check out the presentations from the Innovation Day of 2024 on:

• Open innovation to accelerate Industry 4.0
  By Guus Colman, Consultant EmbeddedLab and Klaas Hofman, Consultant EmbeddedLab at Verhaert Product Innovation
• Modular design to make custom robotics accessible
  Thomas Goossens, Mechanical Design Engineer at Verhaert On-site Consulting

View the presentation

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