SOLUTION: INTELLIGENT SEARCH
The challenge of searching
unstructured data
Finding critical information and accurate answers that reside in unstructured data
requires organizations to adopt intelligent search. Traditional enterprise search
relies on keyword matching and other rule-based methodologies. Intelligent search
utilizes machine learning (ML) technologies, such as natural language understanding
(NLU), to comprehend search query intent and content meaning across structured
and unstructured data.
Deploying intelligent search helps companies operate more efficiently while
reducing their costs. For example, a Fortune 500 global bank could quickly detect
and interpret regulatory rules with intelligent search capabilities. This, in turn,
expands the bank's compliance coverage and achieves a greater degree of
transparency in its regulatory process.
What is the process for extracting hidden insights?
To successfully overcome insight extraction challenges, organizations can deploy
artificial intelligence (AI) and ML technologies, such as NLU and deep learning.
Amazon Kendra delivers powerful natural language search capabilities by enabling
end users to easily pinpoint the exact information they need. ML-powered intelligent
search technologies deliver actionable insights to the enterprise across four
important benefits.
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