Over the past several weeks, we explored how AI is creating real value across insurance, women’s health, and manufacturing. And it reflects a pattern we began earlier this quarter:   AI moves from research into impact only when the surrounding system is built for complexity. As we head into   2026 , three truths have become impossible to ignore — no matter the industry. 1️⃣ 2026 will reward execution, not experimentation. The biggest wins this year didn’t come from “moonshot

Everyone’s talking about   Sora 2   — the upcoming leap in AI video generation promising longer, more coherent, and physics-grounded scenes. While waiting to test it ourselves, we decided to look back — and experiment with what’s already here:   Veo 3 . At   Gravitate AI , we turned one photo from a recent   team-building day at a local climbing gym   into two short Veo 3 clips. No corporate talks — only trust, focus, and fun. But what the AI produced told us something bigger

Considerations for Product teams developing generative AI product solutions

Caution for Startups: ChatGPT brings challenges such as how to use these technologies with data privacy, and security.

Startups can get inspired from real-life AI use cases at the Winter Olympics.

What if we could understand how computers think? And what if we could have fun doing it? Many of us have had a little more time to go deeper in our thinking, possibly even have time for side projects. As we reflect on lessons we can learn from the world around us, and where we want to explore new areas with data science and AI, we have been reviewing some high level concepts and wanted to share a fun little project. This is not aimed for mathematical rigorousness, but more ai

PwC estimates AI will add $15.7 trillion to the global economy by 2030. Seeing the writing on the wall, over 90% of the Fortune 1000 are increasing their big data and AI spending. If you are a country, company, or individual hoping to stay technologically relevant through the coming decade, understanding AI is imperative. The good news is that you don’t need to build neural networks from the ground up to take part. Being able to differentiate core concepts and understanding

PwC predicts that AI will generate $15,700,000,000,000 by 2030, making it the biggest commercial opportunity in the economy of the...