AI in the Enterprise:
The Atolio Blog

Recap of NVIDIA GTC and Human[X]: Human Oversight, Consolidation & Security

As we approach the end of the year, Atolio is excited to share some of our latest developments in enterprise search and knowledge management. Here's a quick overview of what’s new, including new features, integrations, and highlights from KubeCon 2024.

In our final post on the challenges of enterprise RAG platforms, we want to step back and look at the high level assembly of services.

Permissions and related topics present a perfect storm for enterprise search and RAG. It’s where you’ll find the intersection of corporate risk and technical complexity. This is why so many initial RAG systems focus only on publicly available information like support documents or public web content. Today, we’ll highlight some of the challenges in this area.

Spend time with your data. It’s a lesson dispensed and learned over and over again. When you spend enough time with enterprise sources and APIs, you begin to see interesting patterns appear. These patterns can be drivers for common schema in enterprise search systems.

A good search and answer system must draw on the right sources of data if there’s any hope of providing meaningful results. One luxury of modern business systems is that many provide an API for accessing all of this data.

The allure of “talking to my data with AI” has many engineering teams working on prototypes, testing models, and exploring new ways to improve productivity and efficiency.

One of the benefits of building a workplace search product is being able to dogfood it yourself – regardless of whether you’re an engineer or client facing member of the team.

Enterprise search is fast becoming one of the most interesting and engaging technical domains, with a bright decade ahead. Yes, enterprise search.