Seawolf AI: AI Engineering, Training, Strategy

𝗪𝗼𝗯𝗯𝗹𝘆 𝗦𝘁𝗲𝗽𝘀 🦾 → 𝗦𝗼𝗳𝘁 𝗟𝗮𝗻𝗱𝗶𝗻𝗴𝘀 🌑 Ever wondered how AI learns to land on the moon? Here is what i discovered..... I trained RL agents on 𝗟𝘂𝗻𝗮𝗿𝗟𝗮𝗻𝗱𝗲𝗿, guiding them from stumbles to precise landings. Hundreds of iterations, autonomous decisions, and relentless resilience — reminded me of 𝗖𝗵𝗮𝗻𝗱𝗿𝗮𝘆𝗮𝗮𝗻’𝘀 𝗶𝗻𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝘀𝗼𝗳𝘁 𝗹𝗮𝗻𝗱𝗶𝗻𝗴. In LunarLander, 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝘁𝗵𝗲 𝘁𝗵𝗿𝘂𝘀𝘁 𝗳𝗼𝗿 𝘃𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗵𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗺𝗼𝘃𝗲𝗺𝗲𝗻𝘁, deciding how much and when to fire engines to land safely while optimizing fuel and stability.. Using PPO/A2C/DDPG for continuous control, these agents adapted, optimized, and mastered autonomy in dynamic environments. 🎥 The video below captures the landings after training — watch the AI learn, correct, and finally touch down smoothly! 💡 Lesson: Whether it’s AI or space missions, autonomy, iteration, and resilience are what make success possible. #ReinforcementLearning #AutonomousSystems #DeepTech #SpaceTech #Chandrayaan #MachineLearning

How Virginia-Built AI Is Powering Real-World Transformation I recently attended AI Unlocked, hosted by the Special Competitive Studies Project, where, as a resident of VA, one panel in particular stood out: “How VA-Built AI Is Transforming Industries.” Panelists included Ian Tyndall, Brian Lange, Garry Schwartz and moderator John Heneghan. From shipyards to hospitals, and factories to financial firms, AI developed and deployed right here in Virginia is moving from pilot projects to everyday operations. The message was clear: Virginia is becoming an AI powerhouse, fueled by partnerships between business, government, and academia. (After all, the internet backbone runs through Virginia!) 🔍 What’s Happening Across Industries • Defense & Intelligence: ECS Federal is training AI models using drone and satellite imagery to support national security missions. • Healthcare for Veterans: AI is being integrated to improve care and streamline services. • Shipbuilding & Autonomy: HII, the country’s largest shipbuilder, is embedding AI into autonomy systems for sea and land vehicles. • Finance & Fraud Detection: AI agents are accelerating fraud identification. • Corporate Innovation: Companies like Altria are empowering employees with AI copilots and RAG (Retrieval Augmented Generation) tools to enhance everyday productivity. 💻 Workforce & Readiness A recurring theme was people: • AI won’t replace everyone overnight, but it will change every job. • The need for new skill sets and AI literacy is urgent. • Leaders are taking a deliberate approach: establishing governance, encouraging experimentation, and educating executives and teams alike. As Ian Tyndall put it: “We’re racing ahead in AI, but we can’t leave people behind. Upskilling is the key.” 💡 My Takeaway What was reinforced was that career development and education must evolve alongside technology, so more people can participate in this transformation, not just watch from the sidelines. ❓Have you seen examples of local AI innovation transforming work in your area? I’d love to hear your thoughts! Special Competitive Studies Project - SCSP HII Altria #AIUnlocked #ArtificialIntelligence #VirginiaInnovation #FutureOfWork #CareerDevelopment #AIinEducation

Copilots are like humans. First, they invent a problem. Then, they proudly solve it. In practice, that means copilots can generate complexity that wasn’t there before. They might over-engineer a simple task, suggest unnecessary fixes, or loop through steps that lead back to the starting point. Sounds familiar? It’s the same tendency humans have — turning straightforward problems into puzzles just to prove we can solve them. The takeaway: Copilots are not magic wands. They need engineering discipline, clear boundaries, and well-defined objectives. Otherwise, we risk spending time solving problems that never existed in the first place. Agentic AI will only succeed when we design systems that focus on the right problems — not just any problems. #agenticai #leanagenticai

Returned from the Sogeti summit “Autopilot Yes/No” — and one question still haunts me: Are we the last generation to manage humans? As AI accelerates, we’re outsourcing not just tasks — but decisions, creativity, and even moral judgment. Critical thinking is no longer optional; it’s our last defense against becoming algorithmically predictable. AI feeds us comfort, not complexity — echoing our biases instead of expanding our thinking. If we don’t challenge it and ourselves, future generations may be shaped by technology rather than shaping it. Let’s stay intentional. Let’s stay human. #AI #Leadership #FutureOfWork #CriticalThinking #EthicsInTech

The agentic organization isn't coming—it's already rewriting the playbook. Forget top-down hierarchies: this model runs on autonomous AI agents and empowered humans moving in sync toward shared wins. Decisions happen in real-time, learning loops never stop, and intelligence flows across the entire network. Leadership? Less about control, more about orchestration. It's a self-improving ecosystem where human creativity meets machine precision. Welcome to the new paradigm where innovation doesn't wait for approval. #AgenticOrganization #AITransformation #FutureOfWork #NextGenLeadership

There is one question grows louder around #Defense tech, Can machines make the right call when lives are on the line? Autonomous systems are redefining speed, precision, and reach across modern #battlefields. Yet, their greatest challenge isn’t technical, it’s ethical. How do we ensure AI acts with accountability, discrimination, and restraint in high-stakes scenarios? How do we program judgement not just logic? Jamla Holding drives a new era of responsible #innovation that don’t just advance autonomy, but balance innovation with integrity, where autonomy serves both #missionsuccess and moral clarity. Through responsible #AI frameworks, data governance, and human-in-the-loop oversight, we ensure technology strengthens decision-making, not replaces it. Follow for more updates www.jamlaholding.com

🚢 AI Adoption in Maritime: A Turning Point with Insight + Inspire11 ⚓ The maritime industry is undergoing a digital transformation but AI adoption remains uneven. From predictive maintenance to autonomous navigation, the potential is vast. Yet many organisations face persistent barriers: 🔹 Fragmented data ecosystems 🔹 Legacy infrastructure 🔹 Regulatory complexity 🔹 Difficulty translating AI pilots into real ROI That’s why Insight’s acquisition of Inspire11 is so timely. Inspire11 brings a proven track record of delivering measurable business impact through AI across regulated industries where trust, compliance, and precision are non-negotiable. Their suite of 30+ enterprise-grade AI accelerators and human-centered innovation approach directly address the maritime sector’s most pressing challenges. Together, Insight and Inspire11 offer a powerful solution to help maritime organisations: ✅ Modernise legacy systems with embedded AI ✅ Unlock real-time insights from operational data ✅ Accelerate transformation from pilot to production ✅ Build trust through transparent, outcome-driven AI As the maritime AI market surges past $4B and grows at 23% annually, this partnership positions Insight to help clients not just adopt AI but scale it responsibly, strategically, and profitably. This isn’t just an acquisition. It’s a signal that the future of maritime is intelligent, integrated, and insight-driven. #MaritimeInnovation #AIAdoption #DigitalTransformation #InsightEnterprises #Inspire11 #Shipping #Sustainability #DataStrategy #PredictiveMaintenance #AutonomousShipping

Most execs think Agentic AI is just a smarter factory robot, give it a task, watch it go. But here's the hot take: Agentic AI is less like a robot and more like a Swiss Army knife... that decides it wants to build a whole campsite while you’re reaching for the can opener. But don’t throw out the trusty old automation approaches just yet. Traditional rules-based automation, state machines, and old-school orchestration are still MVPs for clear, repeatable, plug-and-play workflows. If you know exactly what you want done, a rules engine is your bulldozer: point it straight and let it do its thing, all day, zero surprises. Agentic AI, though, thrives in the wild. It’s what you call when you hit new terrain: messy, unpredictable, non-linear workflows. Instead of just digging the same trench, it asks if there’s a smarter way through the mountain, or if you even need to go over it at all. Both camps belong on your tech expedition. Deterministic maps for the roads you know; agentic explorers for the paths you haven’t paved yet. Where are you putting each to work?

🚗 You can’t learn to drive in a parked car. And yet that’s exactly what so many organisations are doing with AI. Sitting there with the engine running, waiting for perfect data, policies, or pilots before moving an inch. The reality is:- The quickest way to succeed isn’t to plan more. It’s to start small, start safely, and figure it out as you go. 💡 Automate one repetitive report. 📅 Test predictive scheduling. 📱 Try AI triage for tenant queries. You don’t need an “AI strategy” to start learning. You need momentum. Because progress only happens once you take the car off the drive. #SocialHousingAI #Innovation #AIAdoption #HousingSector #Leadership #DigitalTransformation

AI platforms must deliver results without compromising on trust, transparency, or security. That’s the standard. And it’s exactly what we stand for. I'm honored to be featured in Finanz und Wirtschaft's Future of Tech special, where I spoke about how Squirro is redefining enterprise AI: not as a buzzword, but as a business-critical capability. From Large Language Models to Decision Intelligence, we’re building solutions that work because they’re secure, explainable, actionable, and built for impact. The future without AI isn’t optional. And neither is not getting it right. #FinanzUndWirtschaft #FutureOfTech #Squirro #EnterpriseAI #LLMs #DecisionIntelligence #AIWithImpact #Leadership #NoCompromise