Approximately 80% of the information available in an enterprise is dispersed throughout the organization and the volume is growing at a rate of 50 to 60% each year. No matter how powerful, computers aren't capable of deriving meaningful information from unstructured data and the diversity, volume and velocity at which it's flowing into businesses makes it difficult for individuals to manage, so they don't. As a result, the vast majority of human intelligence isn't used in decision-making processes. Content Intelligence - the combination of semantic technology and information science - is the solution to this problem.
Semantic technologies make meaning in information explicit, for purposes of human and/or machine interpretation and communication (Gartner). When semantic technologies combine with information science, machines can model, interpret, describe, analyze and visualize the content of an enterprise in order to leverage the human intelligence within that content.
The process begins with a model that defines what's important to the business; the topics, resources, concepts and the relationships between them. Smartlogic’s Text Miner tool makes it easy to enhance your model by searching a set of documents to identify the most frequent terms found within your content so you can add them to your model. The model is interpreted by extracting the vocabulary and relationships so the content can be put in the context of the business and the vocabulary and relationships are used to classify and tag the content across multiple dimensions of interest. Automated analysis using Natural Language Processing (NLP) and entity, fact and relationship extraction methods are applied to visualize the results; displaying the relationships between different components of content in the corpus.
There are organizational costs and increased risk when your content isn’t well described; wasted time and money, regulatory sanctions and decreased reputation. The ability to manage operational, regulatory, customer, productivity and rework imperatives within the enterprise can result in improved business outcomes and increase ROI.
Despite the obvious benefits, most organizations struggle to extract the human intelligence in content. While many organizations invest in content management solutions, the ability to expose and use the human intelligence buried in the content is compromised. In isolation, content management systems are inadequate as they provide a single organizing construct of folders and file cabinets that mimic the paper constructs that preceded them. Enterprise search adds a needed, but insufficient, capability where words are indexed and retrieval is based on the appearance of specific words in a document. While a start, search engines lack an understanding of the context in which a word or phrase is used as well as the relationships between concepts. This lack of context means that the human intelligence is poorly communicated, or worse - wrongly communicated.
Content intelligence is the starting point for an explosion of innovation in the information space. An examination of history says that in the beginning, there was paper and business was manual. In the 1970s, transactions lived in hierarchical data structures and businesses became automated. In the 1980s, data was organized into relational databases, which were self-describing, in the sense that you could query the database to understand its structure and the data was available to multiple programs and systems. That one change – the ability of the data to self-describe –led to an explosion of innovation in the structured data space. Data warehouses, data marts, business intelligence platforms and even big data analytics are all innovations that evolved from that one significant change.
Semaphore, Smartlogic’s Content Intelligence platform, is a sophisticated semantic software technology that turns content into a self-describing resource. Semaphore leverages Linked Data standards and graph database technology to unify all information within the enterprise to be used for analysis, to manage information governance, to drive business processes and to gain insight at a fraction of the cost and time without the restrictions of traditional methods. Thirty years after the self-describing revolution in structured data, content can be unified and self-described in a way that allows for true innovation and exploitation. Content becomes Intelligent.
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