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Manuel Aparicio
Dr. Manuel Aparicio is a recognized expert in the field of Associative Memories and big data analytics, holding several patents for associative memory base technology

Dr Aparicio co-founded Saffron Technology, Inc. a company specializing in Associative Memory Base Technology and he serves as its Chief Executive Officer.

Dr. Aparicio served as Chief Scientist of IBM Knowledge Management and Intelligent Agent Center.

He serves as Member of the Advisory Board at Sociocast Networks LLC.

Associative Memory Base
An Associative Memory Base stores knowledge and patterns. The analytics engine retrieves similar and related data from the Memory Base.

An Associative Memory Base can learn from and unify structured and unstructured data sources such as text, articles, emails, call logs, numbers, and events.

Memory bases are schema-less and non-functional. They can model combinations of functions and non-linear functions. [CITES REQUIRED]

History of Associative Memory Bases
Vannevar Bush first mooted an associative approach at the birth of the computer age. Bush noted that the human mind operated by association rather than indexing, and foresaw that the associative approach might be mechanized. [As We May Think, 1945]

Later the scientist Teuvo Kohonen developed important theories of distributed associative memory and optimal associative mappings [CITE]

Dr. Manuel Aparicio is a recognized expert in the field of Associative Memories, holding several patents for associative memory base technology

Real World Applications
Saffron’s Associative Memory Technology has been applied to big data analytics problems in National Security; particularly to combat IED’s during the Iraqi insurgency

Other associative DBMS products include Ingres VectorWise, Illuminate Solutions iLuminate, Relavance Associate, and Lazysoft Sentences.

Big Data Analytics and Associative Memory Base
According to Forrester, agility and flexibility challenges arising out of Big Data mean that alternative database management system (DBMS) engines architected specifically for Agile BI will emerge as the most compelling Agile BI technologies. Associative Memory was identified as one such specialized DBMS to store all information in the data warehouse in order to be prepared for any future outcome.

Saffron Technology, Inc.
Saffron Technology, Inc. a company headquartered in Cary, North Carolina, is a creator of big data analytics tools based on Associative Memory Base technology.

History
Saffron was founded in 1999 by Dr Manuel Aparicio, a recognized pioneer in the field of Associative Memories, and Dr Jim Fleming.

In 2000, former National Security Advisor Admiral John Poindexter joined the board with a focus of applying Associative Memory technology in the fields of National Security and Intelligence

In the first years, the company did most of its work with the U.S. Department of Defense, including in Iraq, analyzing and predicting where IED’s would be located so insurgent bombers could be proactively targeted.

In 2010, the analyst firm Gartner identified Saffron as a “Cool Vendor” in Information Infrastructure for Enterprise Information Management

Associative Memory Base Technology
Associative memory bases identify entities that are defined as people, places and things. The technology mimics human memory by recalling associations between those people, places and things, and specifically the context and frequency of association. As each entity in a set of data has its own memory about all the other entities it is associated with, the engine can learn the way humans do.

The technology has proved to be highly scalable and efficient in cases of extremely large datasets. Saffron exploits a proprietary loss less compression routine that is capable of creating extremely compact models.

The Saffron implementation is able to operate on compressed datasets thereby enabling dramatic reduction in storage and CPU hardware, thus enabling the application of associative memory technology in a distributed environment.

[A Framework for Prognostics-Integrated: Intelligent Aviation Services Noel P. Greis, Jack G. Olin and Monica Nogueira]

National Security & Iraq
In [Year(s)] Saffron was used by coalition forces in Iraq to help identify entities that were defined as people, places and things involved in insurgent networks. The tool mimicked human memory by recalling associations between those people, places and things. Unlike other tools Saffron focused on context and frequency of association. Each word representing an entity in a set of data had its own memory about all the other words it had been used in association with. In this way the tool could learn the way humans did.

Engineering
A Global 100 manufacturing company uses Saffron Technology in a number of operational areas to leverage past engineering decisions and business experiences, such as component and part order optimization, failure root-cause analysis, and predictive maintenance.