Interesting conversation with Stefan Pastine in Techblitz on how AI’s next wave won’t be defined by better models but by what we can actually build, power, and cool. https://lnkd.in/gvZpRy6k
AI's Next Wave: Building, Powering, and Innovation
More Relevant Posts
-
This. This this this! * Adopt AI to solve current pain points — not because it's shiny * Get your data governance in order before you adopt * Measure ROI — alongside safety, data retention, and confidentiality
AI Futurist & Keynote Speaker | Chief Legal AI Futurist, Masters AI | Author, AI in Legal Tech | Forbes Technology Council | NYSBA AI Task Force | The TechnoCat ⚡
There is more to getting ROI from AI than just buying it! Even as THE AI fangirl, it makes me shake my head!
-
-
At the Microsoft AI Tour in Helsinki today. Less hype than expected, more focus on real use cases and business value. Not every session went deep, but overall a solid event. AI is clearly starting to deliver real impact in day-to-day work. (Toni Poikela and Jonni Purho )
-
-
Fun fact from the Arena AI leaderboard: the latest Claude models are quietly dominating almost everything — not just code, but text, documents and vision as well. Looks less like a leaderboard and more like a reminder that real user preference beats benchmarks. https://lnkd.in/dWcW8Yh3
-
-
Most AI conversations get stuck at the hype. Few tackle what actually gets deployed or moves the numbers. This event is about getting past the buzzwords to see how actual operators integrate and scale AI in practice. The application, not the headline. Good to gather with a tight crew—only 25 in the room. Conversations will be high trust, energy is up. Expect sharp minds. details here: https://lnkd.in/guQbKckt
-
-
The team at F5 has been hard at work bringing our inaugural virtual summit to life, where F5ers and industry experts will be speaking to the AI landscape and what businesses can do, not only to keep up, but to succeed in the AI era. https://lnkd.in/gvF4uH9y
Our upcoming virtual AI Summit is built for teams scaling AI in the real world. 🤖 ⚡️ In just a few weeks, we’ll break down what it actually takes to run AI in production — from delivering data efficiently to securing AI interactions across the lifecycle. 🎬 You won't want to miss this! 📆 Join us on June 23 🎟️ Register today: https://go.f5.net/kd9usnfs
AI Summit: Accelerate AI adoption
-
When everything gets that AI sparkle, it becomes noise, not novelty. The products standing out in 2026 aren't the ones that moved fastest through the generative phase. They're the ones where someone asked harder questions after the prototype existed. That gap between a fast prototype and a product that actually works for people, that's where the data keeps pointing. We wrote about what lives in that gap, and what it takes to close it. Link comments.
-
-
Most AI conversations get stuck at the hype. Few tackle what actually gets deployed or moves the numbers. This event is about getting past the buzzwords to see how actual operators integrate and scale AI in practice. The application, not the headline. Good to gather with a tight crew—only 25 in the room. Conversations will be high trust, energy is up. Expect sharp minds. details here: https://lnkd.in/djj58Wkn
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development
This is an underappreciated point, the bottleneck is shifting from compute to the infrastructure holding it together. Improvements at the substrate level are going to define what AI can actually do at scale. Stefan's perspective on dielectric loss as a hidden 'tax' is a useful way to think about it.