More Semantic Technology Trends for 2016: A Deeper Look at What Will Help Increase Business Value

In last week’s post I covered the first five semantic technology trends we expect to see in 2016 that will add value and increase business agility.  As mentioned, the opportunities presented by “making sense” of our data and information comes with new requirements for comprehension, context and connection in order for companies to truly extract the desired value to give them a competitive advantage.

Below are five additional trends we expect to see in semantic technology over the next year.


Do More than just Listen to Social Media

OSINT (Open Source Intelligence) means more than just monitoring all of the available information: it is essential for defining specific criteria in order to establish priorities and achieve goals.  It includes a constant selection process to find and monitor reliable sources, while providing the ability to leverage any and all available information to gain intelligence on the competition.  Companies will increasingly rely on semantics to help identify risks and gather meaningful details from even the weakest signals from all of their various information streams.  The result is reduced operational risks and the ability to anticipate market developments in near real time.

Let’s API

API functionality is everywhere.  One prevalent example is that API functionality is behind the social icons (Twitter or LinkedIn, for example) on a page that allows to share articles. Here, these icons are links that call on the APIs associated with each service to share information. APIs are important because they dictate how developers realize new applications. Although not widespread (yet), intelligent APIs such as semantic APIs are being increasingly used to link, find and understand unstructured information within corporate intelligence, CRM, human resources, data management, knowledge management and social media monitoring applications.

Compliance and e-Discovery

Organizations must manage a wide range of information for regulatory compliance or e-discovery that encompass a diverse range of formats and information types that are not easily reconciled.  Semantic technology helps process structured information across different formats and repositories to enable a standardized view of all information assets, mapping relationships between data, and providing a foundation for information extraction and reporting. As compliance requirements increase, this technology will help minimize the economic burden.

The Programmer of the Future is a Linguist

So much of our content is language driven, making it essential that technology be built with an understanding of words—their roles, their meanings, their contextual variations. The linguist helps technology make sense of text, which in turn enables programmers to decode jumbles of text, to make sense of translations, and to enable discovery of patterns and structures where hidden.

Knowledge and Skills Mapping

Specialized knowledge such as in-depth information specific to customers, projects or sectors, as well as that related to important applications or procedures are, in reality, priceless enterprise assets that often go uncaptured. Locating specialized areas of expertise often relies more on relationships than on corporate procedures or structures. The larger the organization, the more difficult it is to track or manage them.  Organizations will increasingly use semantic technology to build an internal information bank of subject matter expertise. This will enable the real-time matching of required skills and knowledge for a project with the people or teams who are best suited to address it.

Author: Luca Scagliarini, Chief Marketing Officer, Expert System.

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