Saffron Uses Associative Memory to Mimic Brain

Saffron Natural Intelligence Platform Version 8 is designed to function like the human brain in how it stores and uses information. According to Saffron, associative memory technology enables Saffron 8’s memory base to store coincidences of how two things co-occur in data in matrices. The coincidence-count between two things is stored in the matrix cell for the row and column of the things, essentially duplicating memory-based reasoning. Saffron 8 is scaled to store billions of connections for solving of enterprise problems.

Armed with this capability, Saffron says the latest iteration of its Natural Intelligence Platform allows users to make better sense of what’s in their data, support better and faster decisions, and anticipate logical scenarios. By ingesting live source data and making it available to users in real time, Saffron says the system continually becomes “smarter.”

There is no shortage of enterprise-scale data storage, sorting, retrieval and analysis systems on the market, and many use advanced queries and algorithms to help users dive deep into the data to discover otherwise undetectable patterns. However, if Saffron 8 lives up to its hype, this solution will offer the next step in enterprise data analysis. Namely, static data becoming a living entity that allows users to draw abstract conclusions.

Saffron Natural Intelligence Platform Version 8.0 includes SaffronMemoryBase, SaffronAnalyst, and Saffron REST APIs for data ingestion and query. Saffron 8 integrates with third-party ETL applications on the back end, and with presentation and reporting tools on the front end.  It is built on current standards for componentization, to openly incorporate modern tools such as REST interfaces for SOA integration, and service and user-interface mash-ups.