Cognitive Search

FAQs are Broken. Here’s Why and What to Do About It

FAQs are Broken. Here’s Why and What to Do About It 2000 1335 SearchBlox
FAQs exist to make it easy to find information. Their purpose is to deflect as many support calls as possible. But, for companies with complex offerings, users rarely have simple, straightforward questions. It begs the question, are FAQs serving anyone? read more

Three Problems That Intelligent Search Solves for You

Three Problems That Intelligent Search Solves for You 1500 844 SearchBlox
If you’re still thinking about enterprise search in terms of keywords, filters, and featured results, your organization risks falling behind. Here’s what’s possible now with SearchBlox. read more
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How Does an Organization Make Its Search Technology Better?

How Does an Organization Make Its Search Technology Better? 2560 1729 SearchBlox
Web search engines and prominent social media sites often provide usable and useful search results within a couple of iterations. However, many organizations’ search engines and systems can’t duplicate that success. Why is this happening? read more

Four Trends Changing Enterprise Search in 2021

Four Trends Changing Enterprise Search in 2021 2500 1668 SearchBlox
The sources of rich, decision-influencing information are everywhere yet it’s increasingly difficult to connect the dots. Too much data is left in silos and it’s holding organizations back. read more

How to Gain Insight From Search Analytics

How to Gain Insight From Search Analytics 2000 1333 SearchBlox
You know about Google Analytics, but are you familiar with the insight hidden in your search query logs? In this introduction, we show you how to use top queries, zero-results queries, natural language queries and click-through links to improve everything from your inventory to your user experience. read more

What is Cognitive Search?

What is Cognitive Search? 1750 1000 SearchBlox
Understand how cognitive search uses powerful indexing, natural language processing (NLP), and machine learning (ML) algorithms “to ingest, understand, organize, and query digital content from multiple data sources.” read more
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