Most industries today are well-aware of the potential benefits of technologies such as Artificial Intelligence and Machine Learning.
As the digital transformation drive increases across industries, and more organizations look towards modernizing their operations, ‘Intelligent Search’ is fast emerging as a business necessity.
Almost 80% of all enterprise data is unstructured and is scattered in the form of emails, text documents, social media posts, queries, customer reviews, support requests, images. Most of this data contains valuable information that needs fast and easy access. However, the traditional search tools that are keyword dependent and are unable to discover relevant information in the ever-increasing unstructured data.
This challenge can be solved using Natural Language Processing (NLP). NLP, an AI technique that translates human communication to make it coherent to a computer in the same way that it would be to another human, enables us to deliver ‘Intelligent Search’.
Intelligent Search can be considered the ‘next generation’ of enterprise search. Instead of relying on simple statistics or keywords, Intelligent Search uses AI and ML to help people improve their search accuracy and makes the search more cognitive.
With only keywords, it is challenging to find meaning inherent in a query, and the precision yield of such results is low. But AI changes the search game and makes the search more ‘intelligent’ by facilitating the understanding of grammatical and ungrammatical questions as well as understanding periods queries.
Using Intelligent Search allows enterprise users to:
Organizations can leverage advanced cognitive search features to comprehend human language and extract meaningful information across any knowledge base.
Intelligent Search facilities deeper comprehension of search and semantics that helps users discover the relevant data necessary for their business activities.
Machine Learning and Artificial Intelligence should be use-case specific for these investments to deliver an RoI. However, developing a solution internally can be an uphill task for reasons such as lack of domain knowledge, technical expertise, and modern solution-designing experience.
Good to use, plug-and-play solutions are the ideal choice in this case.
To assuage this challenge, we have used our domain, technological and solutions expertise and developed an ML-based accelerator that helps enterprises leverage the benefits of Intelligent Search.
Using this accelerator, organizations can discover documents specific to a topic and pinpoint the most relevant paragraph for a given query.
Our Intelligent Search accelerator is powered by NLP, Semantic search, and ML techniques and provides semantic information from documents. It also conducts the ‘search’ function by putting the ‘context’ of the question to work.
Using Wissen’s Intelligent Search accelerator, organizations can –
Some of the key features include-
The accelerator has been developed and designed keeping in mind the imperatives of engineering that go into designing highly scalable digital solutions. Our expertise in working with unstructured and semi-structured data from multiple sources and formats and our domain and technology expertise has ensured that this solution can be implemented enterprise-wide on the latest technology stack.
If you feel your organization could benefit from adding ‘intelligence’ to the ‘search’ functionality, connect with us at hello@wissen.com