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Kurt Lozier's Linkedin Analytics

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As a successful serial B2B, B2B2C product manager & product owner (0-1, 1-1000) Kurt’s career as a digital executive spans healthcare, media, laboratory automation, product management & development, digital transformation, strategy and digital marketing. His first start-up, PowerOne Media, was focused on the cutting-edge online media space. At PowerOne Media, Kurt led the product teams and business development to a market leading position of 1,800 local media customers. Kurt co-founded his latest venture, Somml Health, in 2017. Somml Health is a Digital Health Neighborhood that optimizes care delivery through connected data and communications between the patient, their family, and health care teams, in real-time. Through our highly scalable platform, Somml creates quantifiable opportunities for better health and more efficiencies in care delivery by elevating personalized care, and connecting daily insights and family support to enable early intervention. We believe whole person health takes a community, connected. Expertise in: Digital Health, Patient Engagement, Innovation, Strategy, Product Management, Project Management, Mobile, Digital Marketing, Audience Development, Content Marketing, Content Distribution, Analytics, Search, Digital Media, Monetization, Business Development

Check out Kurt Lozier's verified LinkedIn stats (last 30 days)

Followers
938
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Engagements
4
Likes
3

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Kurt Lozier's Best Posts (last 30 days)

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Why did a construction project manager just complete his daily report in 30 seconds? While walking to his truck. Without touching his phone screen once. I've spent years in heavy land development construction, and I've never seen field reporting work like this. Daniel Lannan at Thinair just showed me something that breaks every assumption about how data gets from the jobsite to the office. Here's what happened: Worker talks into phone while walking AI converts speech to structured data Report auto-populates in company system Done No forms. No small-screen frustration. No "I'll do it later" excuses. The breakthrough? The AI understands industry-specific language. It knows what matters in construction vs. pest control vs. landscaping. It adapts to how your business actually operates. This isn't just efficiency - it's respect for the people doing the work. Dan's teaser drops the full story. Worth 2 minutes of your time 👇 #FieldOps #AI #ThinAir #ConstructionTech

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Dan Lannan


The real AI disruption won’t come from new models. It’ll come from new apps. We’re not getting magical AGI that thinks recursively like a human anytime soon. The latest Anthropic model fell flat, GPT-4.5 is being discontinued, and xAI’s Colossus, despite having 8x more GPUs than OpenAI, Anthropic, or Google, didn’t make Grok 8x smarter. What you see today is what you get, with only marginal improvements until the next true paradigm shift. Maybe today’s models can bootstrap the next “Attention Is All You Need” moment, but I’m not holding my breath. The point is the dust has settled enough to start building with confidence, using the constraints of current models, without fear of being steamrolled six months from now. The next questions aren’t about “Anthropic vs. Google vs. OpenAI.” They’re about interface and architecture. How tomorrow’s apps will use today’s AI to replace today’s software. Some quick numbers: $350B – Estimated global SaaS market in 2025 ~75% – Portion of SaaS apps still “pre-AI” (legacy UX, no native LLM integration) $262B – Market size of those “pre-AI” apps ~$130B – Estimated disruptable market for AI-native applications That’s the opportunity. Reimagining workflows with AI at the core. Not as a Copilot, but as the engine. Thinair just launched a voice-driven AI app for a construction company demoed below by Henry Pittorino and Bella Thurston. The problem was simple: no tracking of job site production, refueling logs were done on paper, and maintenance requests were a mess of phone calls that might make it into a schedule. The solution was even simpler: an iOS app with one button. “Record Field Report.” Whether the user is on a job site, in a truck, or 20 feet down in a hole, the input is always the same: press, talk, send. Each message is routed to an AI that interprets the intent and takes action. Create a maintenance request, log fuel, file a report, whatever’s needed. It’s a good interface. It solves a real problem. And it doesn’t matter if the model behind it is from Anthropic, OpenAI, or Google. They all handle the task equally well. That’s the value of AI.


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