Harnessing the Power of Semantic APIs for Information Management
In advance of this year’s Enterprise Data World conference in Austin, Texas the organizers invited us to share our thoughts and opinions on some of the trends and influences shaping today’s data management. Two trends stand out to me:
– Data Management has to include unstructured information. Organizations cannot ignore the stream of information coming from outside and from inside the organization. Effective management of these streams provides great value in many activities including Marketing/Business intelligence, Risk Management, Predictive modeling.
– APIs offer an effective way to get access to a multitude of external data (structured or unstructured) that could improve the effectiveness and the value of Data Management.
With our customers and partners, we’re seeing these trends taking shape around three primary challenges: data access, lack of interoperability across deployed data silos and data security.
For industries that are particularly knowledge-intensive and have high sensitivity and privacy concerns, data access and lack of interoperability are issues that they have had to face from day one. With the volume of information available, not to mention the security risks that most any company is vulnerable to, today nearly every industry is experiencing these same challenges on some scale. And at this point, there is no turning back on the volume of information, so, as we’re seeing with our customers, everyone is working hard to get those things right.
Being able to provide access to and normalize disparate data sources is a way to both ensure access to the varieties of information, and to make the most of data spread across deployed knowledge bases.
Using APIs is a smart option as developers can easily integrate into their analysis platforms and applications for faster evaluation and analysis of documents, web pages, social media data or any big data sets or real-time information streams.
In many enterprises, data is often split amongst departments and divisions, all with their own separate documents and often unaware of how they affect the rest of the organization. Technology is helping many businesses solve the problem, implementing several different systems that contain similar information but do not interact with each other. The conundrum is that duplicate data may be processed in different systems, creating replicated, sometimes stale work, and different data structures.
Semantic software provides analysis of structured and unstructured information—and uncovers this data not only from within an organization’s network, but also from the most unstructured corners of the Web. Unlike typical technologies that leverage simple keyword approach, semantics uncovers the true meaning that words express, in their proper contexts, not only to locate all the available pieces of data, but analyze the information to make sure the user gets only the most appropriate data.
This means that duplicate information is eliminated, and crucial information can be identified across departments to ensure that decisions are being made on the basis of the most robust and accurate information.
For more information on Expert System flagship API, visit www.intelligenceapi.com and try our free demo today.