Summary
- Delivers AI-ready data that is trusted, flexible, and business-focused.
- Enables AI data analysts to interpret natural language queries.
- Pairs LLMs with knowledge graphs for contextual accuracy.
- Uses a model context protocol to query federated graphs at scale.
Chapters
Actian is shaping the future of business with AI ready data that is trusted, flexible, and easy to use. Here's an example all over the world, data analysts query data to extract knowledge that can make their organizations excel at what they do and expand their potential. And artificial intelligence is accelerating the data analyst through an AI data analyst.
The AI data analyst scales the number of questions to human data analyst can ask. The AI data analyst is an application that answers business questions. You can ask it questions in natural language and it will answer in natural language too.
It'll translate the business questions and search instructed data typically through S statements and translate that back to the data analyst.
This is smart, but also brittle AI data analysts are not very precise. However, there's a way out. AI data analysts are powered by large language models.
LLMs LLMs will increase precision when it's supported by context captured in knowledge graphs.
Knowledge graphs solidify the translation of business question asked in natural language into powerful structured statements that query data and back again to natural language thanks to the context they contain and to obtain that context in a way that is fast and predictable and new standardized approach is gaining momentum model context Protocol. M-C-P-M-C-P is an agreed upon standard that structures and stores data for AI applications inaction. We enable LLM powered AI applications to query our federated knowledge graph for context.
We do that by exporting and storing our federated knowledge graph on dedicated model context protocol servers, AI data analysts and similar applications can query the MCP server seamlessly using the MCP protocol and significantly increase the way they work actions. Data intelligence platform is perfect source of context for AI applications to improve their precision. Because our platform is built as a federated knowledge graph, the Federation of the Knowledge graph in the Accion data intelligence platform allow each domain to create their own unique graph.
And that means that you do not simply get one graph for context, but a graph that you can filter allowing for many domain specific graphs for many contexts.
Because all business domains have that have joined the platform, have expressed their domain in their unique graph. In this way through the enablement of model context protocol, the action data intelligence platform delivers a completely unique solution on the market capable of scaling your AI agenda exponentially as the action data intelligence platform delivers not one context but many contexts that will each precisely match the questions you want. All your AI data analysts to answer.
Acton is shaping the future of business with AI ready data that is trusted, flexible, and easy to use. Model context protocol is your key to unlock context for AI data analysts and scale them effectively inaction. We deliver our federated knowledge graph as an unparalleled source for model context protocol because we know that your data is your future.
