Insights on Transformative Technology

The Greatest Paradox of AI Isn't What You Think 🤔 I've spent 25+ years studying digital transformation, and I've learnt a few lessons: The smarter machines become, the more they reveal what makes us irreplaceably human. Here's what nobody is talking about: 1.     When calculators emerged, we didn't need fewer mathematicians - we needed deeper mathematical thinking. 2.     When automation transformed manufacturing, we didn't need fewer workers - we needed more sophisticated problem-solvers. 3.     Now, as AI creates content, we don't need fewer creatives - we need deeper meaning-makers. The truth? Technology doesn't replace human capability. It elevates human consciousness. Think about this: ·       As AI masters prediction → human judgment becomes invaluable ·       As automation handles routine → human creativity becomes essential ·       As machines perfect efficiency → human wisdom becomes irreplaceable 🔥 The Big Revelation: Our organizations are built around what humans CAN do. They need to be rebuilt around what ONLY humans can do. The real transformation isn't digital - it's cognitive, emotional, and spiritual. Everyone's asking about AI capabilities. But here are the questions we SHOULD be asking: 1.     How do we cultivate human capabilities that AI enhances? 2.     What does it mean to be uniquely human in an AI world? 3.     How do we build organizations that amplify human potential? 💡 Key Insight: The next breakthrough won't come from better algorithms. It will come from better questions. The future may belong to those who build the most advanced AI, but certainly belongs to those who also most deeply understand humanity. 🤔 Question for you: What aspects of your humanity are becoming MORE valuable as AI advances? I believe we're not in an age of digital transformation. We're in an age of human revelation. What do you think? How are you seeing the human-AI relationship evolve in your organization? Let's explore this together. What's your take? #FutureOfWork #Leadership #Innovation #AI #DigitalTransformation #HumanPotential

95% of teens have smartphones, and half report being online "almost constantly" — a 24% increase in just a decade. The knee-jerk reaction? "Less screen time." But what if that's the wrong approach? Instead of "How do we reduce screen time?" perhaps we should be asking: "How do we transform screen time into something valuable?" At our tech schools across America, we've discovered that deliberate screen time can actually double learning speed. The data proves it: Our Brownsville school took kids from the 31st percentile to the 86th in just one year. The 5 Elements of Transformative Screen Time 1. Creation Over Consumption Our 3rd graders don't watch YouTube - they: • Produce news broadcasts • Build business plans with ChatGPT • Program self-driving cars and drones • Create school ambassador presentations 2. AI-Powered Personalization Every student gets a custom AI tutor that: • Adapts to their exact level • Adjusts material in real-time • Identifies knowledge gaps instantly • Tracks genuine mastery (not memorization) 3. Strategic Time Limits The secret is just 2 hours of focused tech learning daily. The rest is hands-on projects and real-world skills. This isn't theory—we've proven it across 10+ schools. 4. Building Status Through Contribution Research shows teens desperately need to feel competent and valuable. We transform passive scrolling into active creation, where students build real confidence through meaningful digital contributions. 5. Adult-Guided Innovation Parents and teachers don't just monitor—they collaborate: • Join coding projects • Review business plans • Guide content creation • Shape tech habits actively What have our results been? Students are more engaged, learning faster, and developing skills they'll actually use. The digital world isn't going away anytime soon. Traditional schools use tech to deliver the same old lectures. We use it to unleash potential. The challenge isn't screen time itself. It's teaching kids to use technology as a tool for growth instead of an escape from boredom. Because the next generation of entrepreneurs, creators, and innovators won't come from less screen time. They'll come from better screen time.

AI is no longer just hype — it’s a transformative force reshaping industries faster than ever. Attending ScaleUp:AI 2024 by Insight Partners was a great refresher on the latest trends and practical use cases driving this transformation. As an AI Product leader, I’ve seen firsthand how AI can elevate team productivity. At SocialPost.ai, we leveraged AI to streamline content creation at scale, and we reduced developed time by 70%. 💡What does this mean for leaders? It’s time to prioritize AI education, experiment boldly, and adapt to the rapid changes AI brings. Start small: identify tasks AI can automate, enhance decision-making, or optimize operations. 💡One standout moment for me was Allie K. Miller keynote. Here are my top takeaways: 1️⃣ The Speed of AI Adoption: The adoption of AI is breaking records! ChatGPT hit 100 million users in 2 months, surpassing platforms like TikTok, Instagram and even the internet itself. This growth shows the world’s appetite for tools that redefine what’s possible. 2️⃣ The 3 Ps: Allie K. Miller shared a practical approach to integrating AI into work: ➡ People: Automate repetitive tasks to empower teams and boost productivity. ➡ Process: Use AI to optimize operations with data-driven insights and seamless communication. ➡ Product: Drive growth and resilience in a rapidly evolving market. 3️⃣ The Evolution of Generative AI: From Today to the Future Generative AI is evolving rapidly. Here’s how it’s evolving: ➡ From Creating Images/Videos → Building World Models AI is moving beyond visuals to simulate real-life environments, revolutionizing VR, digital twins, and immersive training. ➡ From Basic Decision-Making → Goal-Oriented Systems Today’s AI supports decision-making with data insights. Tomorrow’s AI will integrate values and goals, solving complex problems as a trusted partner. ➡ From Copywriting → Hyperpersonalization Today, AI creates content tailored to broad audience needs. AI will tailor experiences for individuals, revolutionizing customer engagement. ➡  From Code Generation → Autonomous Software Development AI now assists developers by generating and refining code. AI will autonomously build, test, and deploy systems, accelerating innovation. ➡ From Text-to-AnyForm → Multimodal Transformations AI will seamlessly translate ideas across text, images, video, and beyond, enhancing communication and creativity. As leaders, we must ask ourselves: ✅ How can we leverage these trends to drive transformation and value? ✅ Are we adapting fast enough to stay ahead of these game-changing advancements? How is AI shaping your industry or role? I’d love to hear your thoughts 💬 #GenerativeAI #AIProductManagement #Leadership #Innovation #DigitalTransformation #TechAdoption #AILeadership

When I worked in #automotive, after many years the same ideas kept recurring. They reappeared like perennials (2-stroke engines, fuel cells, electrification, new ignition systems, novel engines, novel transmissions). Most of those ideas 'flamed out' after burning huge amounts of R&D and investor capital. After looking at it for a while, the only pattern I could see that could shed insight into success or failure (beyond the human team pushing it) was if the innovation was based on one or more of the following things changing. If these things were present, a concept could become viable enough to displace an existing solution. Once example is the addition of microprocessors and fuel injectors to replace carburetors on engines. Another was the recent success of battery electric vehicles after almost a century as a failed competitor to the gas engine. The four things that drive innovation, enable real progress, and make disruption possible are: 1) New #materials that improve things like strength, heat resistance, conductivity, cost, manufacturability, etc. ➡ For example, carbon fiber allow lighter and more fuel efficient aircraft.[1] 2) New #manufacturing capabilities that improve things like tolerances, production rates, scrap rates, etc. ➡ Additive manufacturing (#AM) is an example of this transforming entire industries. [2] 3) New #simulation and #analysis capability to be able to predict and optimize design performance in a virtual setting that make it possible to iterate a design much, much faster and see cause and effect that is impossible in the real world. Some things are practically impossible to develop without simulation because the improvements and learning from physical prototypes is too expensive and slow. ➡ I doubt an iPhone or most any other electronics could be engineered without simulation. [3] This also applies to many mechanical products like the substitution of plastics for metals in many applications. 4) Finally, new #control, #communication, and embedded #intelligence in products transforms their operation and performance in fundamental and often unseen ways. ➡ Virtual power plants [4] are an example of a service that could not exist without new control, communication, and embedded intelligence. Additionally sometimes the market, regulations, or commercial ecosystem changes, so none of the above are needed to make a system a better fit. Existing capabilities can be recombined to improve a product. Am I missing anything? #deeptech #hardtech #spacetech #design #manufacturing

The most transformative fintech doesn't just build on existing frameworks—it questions why they exist at all. One of my friends recently shared Ram Palaniappan (Earnin CEO) video, and he had an amazing insight: Most financial systems aren't limited by tech—they're limited by historical patterns we've never questioned! 💡 Did you know? Before the Industrial Revolution, workers were paid daily. The bi-weekly paycheck is a power structure, not a technical necessity. This exact insight drove us to build Stilt. The credit system's reliance on FICO isn't a technical limitation—it's historical inertia excluding millions of qualified borrowers. In today's world we have access to so much data that we can make better decisions than just relying on FICO scores. 🔍 If you're hunting for the next "big" idea in FinTech, here's the exact framework you can use to spot gaps: - Identify "accepted constraints" in financial services - Determine which are historical vs. genuinely technical - Apply modern tech stack to historical constraints - Create 10x better user experience through constraint removal The next wave of transformative fintech won't just improve existing systems—it will fundamentally question their historical premises while leveraging modern technical capabilities. #FinTech #Innovation #StartupInsights

As AI continues to gain traction, modernizing legacy tech has become a critical focus for organizations looking to overcome existing limitations and take advantage of new capabilities. Here are three approaches highlighted by my Deloitte colleagues Tim Smith, Faruk Muratovic, Bill Briggs, and Diana Kearns-Manolatos (she/her) [https://deloi.tt/44veSOh] on how AI-enabled technologies could be the answer to transforming these older systems:    🟢 Rethinking tech processes: GenAI and AI agents are providing clearer insights from various data sources to better manage complex business processes. For instance, an oil and gas organization could use GenAI for predictive maintenance, reducing downtime.  🟢 Reengineering the digital core: AI-powered tools are transforming data management and systems integration. For example, an investment firm can leverage AI to deliver hyper-personalized portfolio management, drawing from data representing millions of clients.  🟢 Reimagining business capabilities: AI is unlocking innovation across interconnected business systems. A pharmaceutical organization, for instance, can accelerate drug research and discovery using GenAI.    Regardless of your approach, building and maintaining trust with key stakeholders is essential for successful implementation. Even small, strategic steps in AI adoption can spark transformation and drive meaningful change. 

Excellent Paper from the World Economic Forum In the insightful paper "Views from the Manufacturing Front Line: Workers' Insights on How to Introduce New Technology," Kyriakos Triantafyllidis of the World Economic Forum and Thomas Bohné from the University of Cambridge unveil a comprehensive analysis of modern challenges in the manufacturing sector. This pivotal study, from over 85 interviews with front-line workers across diverse US, European, and Asia industries, highlights how companies can effectively respond to the growing demand for customized products, address skill gaps, and manage demographic shifts like an aging workforce. A key takeaway from this World Economic Forum-endorsed report is the necessity of integrating advanced technologies, such as extended-reality headsets, exoskeletons, and cobots, into manufacturing processes. The study's core strength lies in its employee-centric approach, valuing firsthand insights from those on the shop floor. It underscores the importance of involving workers in technology adoption, enhancing human-machine interactions, and ensuring employee buy-in for successful implementation and retention. Significant insights include the need for comprehensive pre-introduction preparation, where managers effectively communicate the benefits and decision-making processes to employees. The report also highlights the advantage of involving workers in decision-making, like contributing ideas and participating in risk assessments, which boosts acceptance and practical application of new technologies. A notable innovation is the concept of 'super users' or 'technology champions' during training, catering to diverse learning needs for effective adoption. However, the report could be further enriched by adding insights from employees in the Americas region and addressing areas like the absence of specific metrics to measure technology integration success, potential overreliance on worker input, resource management challenges, and risks associated with technology overload. Additionally, it could benefit from a more nuanced discussion on balancing local and global business needs and a deeper exploration of the impact of organizational culture on technology adoption. In essence, while offering a thorough, worker-focused framework for introducing technology in manufacturing, the report presents opportunities for improvement, particularly in incorporating a more comprehensive range of worker perspectives, establishing concrete metrics, finding the right balance between management and employee inputs, managing resources efficiently, and acknowledging the influence of organizational culture. #employeesinsightsonhowtointroducenewtechnologies #Topnotchfinders #sanfordrose

CES 2025: Insights for Tech Leaders Navigating Innovation CES 2025 is proving to be a masterclass in the art of disruption. From generative AI redefining workflows to sustainable tech becoming the new industry standard, this year’s announcements aren’t just exciting—they’re transformational. Here are the highlights every tech executive should care about: 🤖 Generative AI Takes Charge: No longer a buzzword, it’s now a business-critical tool reshaping customer interactions and operational efficiency. 🌍 Sustainability Meets Innovation: Energy-efficient devices and eco-conscious designs are driving market leadership—because customers and investors demand it. 🚗 Mobility Reimagined: AI-powered EVs and autonomous platforms are turning transportation into a data-driven ecosystem. 💡 Health Tech and Wearables: From hydration tracking to stress management, health-focused tech is evolving into proactive wellness ecosystems. The takeaway? The future is no longer something we prepare for—it’s something we create. These trends demand bold strategies and forward-thinking leadership to stay ahead in the race to innovate. What CES 2025 trends resonate most with your strategy? Let’s connect and discuss how we can transform insights into action. 📖 Read the full breakdown: https://lnkd.in/gF9TwZNb #CES2025 #TechLeadership #InnovationStrategy #SustainabilityInTech #AIIntegration

𝐃𝐄𝐄𝐏 𝐃𝐀𝐕𝐄 𝐚𝐬 𝐚 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐨𝐟 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧   What’s in a name? For me, 𝐃𝐄𝐄𝐏 𝐃𝐀𝐕𝐄 is more than just who I am - it’s a meaningful lens to navigate 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 in today’s fast-changing world. Inspired by my name, I am excited to share a strategic approach that embodies the core principles organizations need to evolve and thrive in the digital era.   Here’s what it’s all about: 📌𝐃 - 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐚𝐤𝐢𝐧𝐠 Data is the backbone of modern strategy. Analytics, AI, and actionable insights empower organizations to make smarter, faster decisions and stay ahead of the curve. 📌𝐄 - 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 Seamless and personalized experiences are key. Whether through AI-driven tools like chatbots or real-time feedback systems, improving customer engagement creates lasting value. 📌𝐄 - 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐠𝐢𝐥𝐢𝐭𝐲 In a dynamic market, agility is everything. Cloud solutions, flexible workflows, and responsive operations allow businesses to adapt quickly and innovate faster. 📌𝐏 - 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Automation is a game-changer. By automating repetitive tasks with tools like RPA and AI, organizations can boost efficiency, reduce errors, and focus on strategic priorities. 📌𝐃 - 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 Integration fosters collaboration. Building a connected ecosystem that streamlines data sharing and decision-making creates a foundation for long-term growth. 📌𝐀 - 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧 Emerging technologies like AI, IoT, and blockchain aren’t just trends - they’re tools for innovation, productivity, and maintaining a competitive edge. 📌𝐕 - 𝐕𝐚𝐥𝐮𝐞 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 At its core, digital transformation is about generating value - whether by driving efficiency, opening new revenue streams, or enhancing customer experiences. 📌𝐄 - 𝐄𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐂𝐮𝐥𝐭𝐮𝐫𝐞 Technology alone isn’t enough. A culture of continuous learning, collaboration, and adaptability is crucial to thrive in an ever-changing environment.   This isn’t just about technology - it’s about blending data, processes, advanced tools, and cultural change to unlock growth and innovation. #DigitalTransformation #Innovation #Leadership #Technology #Adaptability

Agriculture has always been a cornerstone of civilization, but the tools and methods we use are rapidly evolving. Today, the fields of farming are not just tilled by traditional machinery but shaped by advanced technologies that are redefining how we grow, manage, and harvest food. Some examples of how technology is transforming agriculture: 🔍 Targeted Agriculture Gone are the days of blanket approaches to farming. Precision agriculture uses satellite imagery, GPS, and sensor data to pinpoint exactly where resources are needed. This means: - Reducing water, pesticide, and fertilizer waste. - Minimizing environmental impact while maximizing yields. - Allowing real-time decision-making with insights from field-level data. 🤖 Smart Farming Equipment Automation is not just a buzzword, it helps with efficiency: - GPS enabled tractors ensure perfect rows with no overlap, saving time and fuel. - Drones monitor crops, identify diseases, and assess soil conditions, offering a bird’s-eye view of fields in a fraction of the time manual inspections would take. - Robots are now even capable of planting and harvesting with precision, reducing reliance on manual labor. 📊 In modern farming, data is king. Advanced tools allow farmers to collect and analyze information like: - Soil health metrics for optimized planting strategies. - Weather patterns to plan irrigation and prevent losses. - AI powered predictive models that help forecast challenges and improve crop yields. 🌍 With climate change introducing new uncertainties, technology helps mitigate risks: - Precision irrigation systems save water in drought-prone areas. - Climate modeling tools guide farmers in selecting the right crops for shifting weather conditions. - Innovations like vertical farming and hydroponics are enabling food production in places where traditional agriculture struggles. What’s your take? Could these advancements make agriculture one of the most exciting industries to innovate in? #innovation #technology #future #management #startups