The biggest trap for executing these custom implementations is failure to meet your customers where they are, i.e., their business context. This is leading to a situation where most companies are waiting for their vendors to implement AI features rather than buy from unproven early stage companies. At a time where the majority of technical talent is concentrated in startups, this is creating an obvious friction point.

xAI is an AI company with the mission of advancing scientific discovery and gaining a deeper understanding of our universe. It’s also being occupied by the playbook mafia.

It’s time to place your bets.

The road to 1T market cap is paved with tech sales layoffs.

The last hope of the open web is an opinionated cybersecurity vendor in the midst of a GTM rebuild.

What does “directionally correct” mean in AI?

What’s going on with one of the most important players in the front-end of cloud infrastructure software?

What’s next for the most popular code collaboration platform?

What’s next for the most valuable player in AI?

Is GCP the dark horse of Enterprise AI?

The future of America is directly tied to betting big on AI.

What does acceleration vs deceleration mean in the context of AI?

State of cybersecurity, data platforms and DevOps in 2025.

Practical look into AI Agents.

The AI supercycle is just beginning…

It’s easy to forget the foundation that AI and Cloud adoption is built on.

The numbers don’t lie, the rush for silicon is real and very much in high demand.