1. Cognitive Search
Industry Trends

2. Cognitive Search – What is it?
“The new generation of enterprise search solutions that employ AI technologies such as natural language processing and machine learning to ingest, understand, organize, and query digital content from multiple data sources”.
- The Forrester Wave™: Cognitive Search And Knowledge Discovery Solutions, Q2 2017
It’s a search platform which provides more human like interaction by means of natural language query and processing rather than key word centric query.
It extracts valuable information from large volumes of complex and diverse data sources and provides a comprehensive 360 degree view of relevant information to the user
It leverages machine learning capabilities to continuously improve the results relevancy. Machine learning algorithms provide added value by continuously refining and enhancing the search results in an effort to provide the best relevancy to users.
Cognitive search provides more personalized and contextual information to the user instead of just retrieving contents.
Along with relevant search results, cognitive search engine also provides personalized and contextual recommendations to the user.

3. Need for Cognitive Search
Search requirements and solutions for an enterprise have been changed a lot from conventional enterprise search products
Key-word based enterprise search is almost obsolete in most of the industries
More than half (54%) of global information workers are interrupted from their work a few times or more per month to spend time looking for or trying to get access to information, insights, and answers
According to IDC, 40% of employees can’t find information to do their jobs while 15% of their time is spent duplicating information. Also, 85% of relevant information is never retrieved in search
Based on InsightSquared’s study, if the median Fortune 1000 company were to increase the usability of its data by 10%, company revenue would be expected to increase by $2.02 billion,.
Modern day enterprise search need is more and more cognitive keeping enterprise features intact
Natural language processing, comprehensive text analytics, relevancy in search results are of prime requirements keeping enterprise features like ability to scale up, connect with different type and source of data, security in search results intact
Search product vendors are modifying their products as per present day needs

4. Journey from Enterprise to Cognitive Search
Source: The Forrester Wave™: Cognitive Search And Knowledge Discovery Solutions, Q2 2017

5. Market Leaders & Contenders
The Forrester Wave™: Cognitive Search And Knowledge Discovery Solutions, Q2 2017
Gartner’s Magic Quadrant for Insight Engines

6. Thank You