Intelligent search is a reimagined enterprise search offering powered by machine learning (ML).
It returns highly accurate information that resides in unstructured data that's spread across the
organization. Intelligent search uses ML technologies such as natural language understanding
(NLU) and deep learning to better understand search query intent and the content meaning and
relationships between structured and unstructured information. Implementing intelligent search
across your organization can be transformational in many ways.
Consider a Fortune 500 global bank that was required to hold cash reserves of close to $1 billion
in anticipation of fines and penalties related to regulatory noncompliance. After implementing
intelligent search capabilities, the bank increased its ability to quickly and accurately detect and
interpret regulatory rules. This, in turn, helped the bank reduce cash reserve requirements, expand
compliance coverage, and achieve a greater degree of transparency in its regulatory process.
How can your enterprise extract the insights buried
within your organization?
Machine learning can help to solve the challenges faced in enterprise search with AI
technologies, such as NLU and deep learning.
Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by
machine learning. Amazon Kendra delivers powerful natural language search capabilities
to your websites and applications so your end users can more easily find the information
they need within the vast amount of content spread across your company.
ML-powered intelligent search technology delivers actionable insights to the enterprise in
seven high-impact areas.
While enterprises are well equipped with tools
and techniques to search structured datasets,
unstructured data remains a challenge
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