Most agentic AI deployments will fall flat this year -- except for the enterprises with the right data building blocks.
Why vertical integration and strategic partnerships are key to making AI accessible, scalable and profitable.
When the AI bubble bursts, identity security will be one of the use cases that survives.
"We are going to see [AI models] learn to do things we did not expect it to do."
Anyone who uses or buys AI services should understand that a vector is a sequence of numbers, an embedding is a word translated to a vector, and a kernel is a math function that gives a measure of the similarity between two vectors.
- By Pure AI Editors
- 04/01/2025
The AI agents are coming, and with them a whole new host of "interconnections and chokepoints."
A smart AI strategy starts with understanding your environment -- and partnering with people who know how to navigate it.
On having a "startup mindset" and the surprisingly different AI consumption habits of enterprises.
AI is reshaping SMB security, and MSPs are their first -- and often only -- line of defense against attacks.
Retrieval-augmented generation (RAG) and vector databases are essential parts of all modern AI systems that use natural language. You should understand RAG and its underlying technology, vector databases, in order to make good business decisions related to buying and implementing AI systems.
- By Pure AI Editors
- 03/03/2025