Leveraging Technology To Scale Innovative Solutions

🔥 AI Isn’t Just a Tool, It’s the New Strategy Officer 🤖🚀 Remember when AI was just that cool assistant helping us write emails faster or spot a typo in a document? Those days are long gone. I recently read a deep dive on the evolving AI landscape, and one thing hit me hard: AI has shifted from a helpful support tool to a core strategic driver of transformation. And it’s happening FAST. 🎯 So what’s the real challenge for leadership now? It’s no longer about “Should we use AI?” It’s about “How do we scale this responsibly and sustainably?” Here are a few big shifts I’m seeing: ⚙️ Governance is Non-Negotiable Many companies rushed to pilot LLMs and AI tools, which is great. But very few built the governance models to ensure responsible use, data integrity, and regulatory alignment. Without this, you’re building on sand. 🌱 Culture > Tech Stack AI transformation isn’t just a technical project. It’s a cultural one. Do teams feel empowered to experiment? Are cross-functional teams collaborating, or still working in silos? 🧠 Cross-Functional Fluency is the New Superpower You don’t just need data scientists. You need AI-literate marketers, HR folks, finance pros, and ops leaders. The days of leaving AI to “the tech team” are over. ✅ Real-world case: MedAlly As the founder of MedAlly, I’ve seen firsthand how AI can reshape operations when implemented thoughtfully. We didn’t just deploy a model. We aligned our medical, ops, and data teams to speak the same AI language. That shift in mindset was just as critical as the tech itself. 💡 Takeaway: Scaling AI isn’t just about plugging in the latest model. It’s about designing your org DNA to support responsible innovation through governance, culture, and multidisciplinary talent. 👋 How is your team preparing to scale AI responsibly? I’d love to hear what’s working (or not). Let’s swap notes. #AITransformation #Leadership #AIGovernance #TechStrategy #FutureOfWork #CrossFunctionalTeams #ResponsibleAI #HealthcareInnovation #MedAlly #DigitalTransformation

The biggest risk in enterprise AI isn't moving too fast – it's moving too slowly while others race ahead. In the rush to adopt AI, we're underestimating our most powerful advantage: solid product and engineering fundamentals that turn promising technology into enterprise-grade solutions that deliver real value. This is where clever engineering makes all the difference. Rather than just throwing more compute at the problem, we need to think differently about how we scale AI in enterprise environments. The evolution of scaling laws shows us a nuanced path forward. As NVIDIA recently noted we're seeing three distinct types of scaling: pre-training, post-training, and test-time scaling. This last one is particularly exciting for enterprises – it means we can enhance AI systems dynamically during real-world use, adapting to specific business needs without starting from scratch. Think of how modern cities evolved from the rigid grid systems of early urban planning. While those grids served their purpose, today's most livable cities adapt to natural topography, integrate with existing communities, and evolve organically to meet changing needs. Similarly, we're moving from rigid, grid-like business processes to fluid, adaptive systems that align with real business workflows and deliver tangible value. The most successful organizations are those that combine AI capabilities with engineering excellence. Consider robotics: form factors differ drastically based on desired business outcomes – consumer applications optimize for adoption and ease of use, while industrial deployments prioritize uptime and operational efficiency. The same technology requires radically different implementations for different contexts. This pragmatic approach applies across AI – new breakthroughs are unlocking solutions to previously intractable problems, but turning these capabilities into enterprise-ready products requires rigorous engineering and implementation expertise that accounts for real-world constraints and requirements. The goal isn't to chase capabilities blindly, but to build robust systems that can harness AI's expanding potential while delivering consistent, measurable business value. #Innovation #DigitalTransformation #FutureOfWork

At P&G, technology isn't just a supporting function—it's a strategic enabler for growth, innovation, and consumer satisfaction. We're maniacally focused on understanding the wants and needs of the consumer, and technology is how we deliver on that promise. Earlier this summer, I had a fantastic conversation with Peter High on his Technovation podcast. We dove deep into how P&G is leveraging technology like AI, automation and data analytics to improve our operations, elevate consumer experiences, and create greater efficiencies. A few of the key highlights from our conversation: +Data-Driven Innovation: Our AI Factory integrates data across the value chain, enabling faster problem-solving and smarter decision-making. In Brazil, AI improved P&G’s out-of-stock rates by 15 percentage points – a game-changer in our industry! +End-to-End Supply Chain Visibility: With tools like our Pampers Club app, we’re able to ensure that consumers have the essentials they need. +Upskilling for Digital Fluency: We’re investing in workforce training through partnerships with Harvard Business School and Boston Consulting Group (BCG) to ensure everyone can leverage new digital tools like AI effectively. +AI as a Workforce Enabler: We are using AI as a facilitator of productivity to help employees focus on higher value tasks and initiatives. Leveraging AI across the business enhances efficiency and scales operations without burnout. +A Bright Future Ahead: I’m excited about the potential of reasoning models and agentic AI, which have the potential to eliminate dashboards by allowing us to “talk to the data.” Quantum computing offers the potential to optimize supply chains and operations at unprecedented levels.   #PGInnovation is truly transforming how we operate and deliver value, always with the consumer at the center. I'm excited about the continued impact we'll drive in our industry. Ready to hear more about how we're leveraging technology to innovate? Listen to my full conversation with Peter here: https://lnkd.in/gPnKhP3D