A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Over the past year, enterprise adoption of generative AI has shifted from small experiments with large language models to ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.

In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look.

AI agents will reshape 2026: they’ll feed on synthetic/structured data, remake the web, swarm unpredictably, and empower ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Sabre is using its first CES appearance to showcase a live “agentic” travel demo based on its latest AI tools.  Product ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Ali Sarrafi, CEO and Kovant, is a seasoned technology and AI executive based in Stockholm with a track record of building and scaling high-growth AI companies. Since founding Kovant in late 2024, he ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.