The real challenge isn’t building smarter machines. It’s building smarter governments. #AI #Governance #Leadership #TechPolicy #AIinGovernment

Governments have gone from cautious observers to active builders. They’re no longer chasing the tech industry — they’re shaping it. AI in government is no longer about efficiency. It’s about trust, accountability, and smarter institutions.

The question has changed. It used to be: “Should we use AI?” Now it’s: “How do we use it without losing transparency or trust?” That’s not a technical shift. It’s a mindset shift.

In the U.S., the Treasury used machine learning to recover $4 billion in fraudulent or improper payments. In China, Hangzhou’s City Brain uses real-time data to manage traffic and reduce congestion. AI isn’t a pilot project anymore. It’s running governments.

Fast forward to now. Governments are quietly becoming some of the biggest adopters of AI in the world. Tax agencies use it to catch fraud. Cities use it to manage traffic. Public health departments use it to predict outbreaks.

Ten years ago, governments talked about AI the way people talk about flying cars. Interesting, but not real life. Back then, public institutions were busy keeping the Wi-Fi working.

AI at the edge makes systems more adaptive, efficient, and secure. It turns connectivity into a living system that evolves through software. 6G starts here, with intelligence built into every layer of the network.

Imagine this in action: Cars alerting each other about danger in milliseconds. Drones coordinating flight paths on their own. Cities adjusting traffic and energy in real time. These are the first signs of networks that understand the world they connect.

Now, AI can run directly at cell sites, where data is created. This means networks can process, learn, and react in real time.

Today, most data travels to faraway cloud servers before anything useful happens. That adds delay, cost, and risk.

The technology will keep evolving, but the goal remains the same: to tell something true, in a new way. #AI #Film #Storytelling #GenerativeAI #AdobeMAX #CreativeTechnology

AI in film is less about automation and more about acceleration. It changes how ideas are formed, not why stories are told.

What’s emerging isn’t “AI-made movies.” It’s a new creative process where people use generative tools to prototype, experiment, and collaborate differently.

The Runway AI Film Festival and the World AI Film Festival are showing similar work. Each explores how technology can fit into filmmaking without losing the human element.

These projects didn’t replace human creativity. They used AI to move faster. Testing ideas, visualizing scenes, and shaping new possibilities for storytelling.

AI-generated films are starting to appear at major festivals. At Adobe MAX 2025, six filmmakers used generative tools like Adobe Firefly to explore how AI can expand the way stories are made.

Fans want more than a seat. They want an experience that mixes live action, data, and AR. And Asia’s giving them that. The result: a smarter, more connected way to play and watch sports. There’s a lot we can learn from that. 🏟️

Sports tech isn’t staying at the pro level. It’s spreading to college and youth teams with affordable AI cameras, analytics, and wearables.

Governments are linking these stadiums to smart-city projects. Tech companies and leagues are moving together instead of separately.

New stadiums are designed for data from day one — sensors, smart lighting, and high-speed networks built in before the first game. ⚡