Artificial intelligence is impacting all aspects of the business, including enterprise search and big data applications. But it comes with some challenges Businesses have been relying on search and big data analytics for many years to gain insight into their data.
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In recent years, these technologies have evolved rapidly and now incorporate and
Big data applications today must be built to provide real-time results for businesses to compete in today’s fast-moving marketplace. Powered by search and big data,
As we enter this new age, the time is near for businesses to incorporate these technologies — though they must be cognizant of the challenges that exist and the resources that will be required.
Using Search to Deliver Big Data Analytics
As the result of the growing demand for
In recent years, we’ve seen a shift toward search engines becoming the preferred mechanism for the output and delivery of complex big data applications. Examples include visualization dashboards and question-answering systems. In 2017, we stepped into a new era where search engines have become an integral part of big data, providing natural, total and proactive search and insight discovery.
New Technologies for Better Big Data
Artificial intelligence has been around for a long time, but for many enterprises seeking to extract more meaning from their data, the future is now. A recent Gartner report finds that expectations will soar for
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