Introducing Cognitive Search
During these tough times, remote workers find themselves struggling to serve customers, handle employees, and complete tasks to keep businesses afloat. Imagine having quick access to relevant information. Read on to explore ways to handle these challenges.
When employees were working in-office, they know how to get the information they need to perform their job. They also have access to tools that enabled these tasks. However, when remote, this flexibility is absent. This could lead to lowered productivity, and could cause a dip in efficiency.
One of the ways technology can come to the rescue is by enabling fast access to relevant information that aligns with human thinking. Cognitive Search is one such technology.
The solution – Cognitive Search
What is Cognitive Search?
A 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 need for quick information has been heightened by Google and the emergence of sophisticated Ecommerce search engines. Now users demand for more information in shorter periods of time. Natural Language Processing (NLP) powers the next generation search technologies. This has been possible due to remarkable breakthroughs in using advanced Deep Learning technologies to process natural language and understand it (NLU).
The picture below depicts the evolution of ‘Search’ technology the value it brings to business.
As you can see, Cognitive Search takes human computer interaction (HCI) to the next level. And for the first time, it enables humans to interact with the machine in the most natural way possible. Gone are the days of confusing menus. The traditional UI is giving way to Conversational AI, which forms the backbone of chatbot technologies like Engati.
A brief history of Cognitive Search
In the last couple of years, we’ve seen companies like Google, Microsoft, Open AI, Facebook and many more attempting to produce improved language models. The reason? To enable contextual and sematic search which have now become the building blocks for Cognitive Search- in addition to fast inference and scale.
Last year, both Google and Microsoft announced that they are using “BERT" to take Google and Bing respectively to the next level. BERT, an advanced deep learning-based language model, enables more contextual and meaning-based matches of documents to user queries, which are not keyword based. This advanced search technology has proven that it can now be used in other use cases like ecommerce, document search, enterprise search, and so on. The possibilities are endless.
At Engati, we have chosen this advanced AI/NLP technology to enable Cognitive Search via Chatbots. We’ve broken down all barriers to information access to truly provide information at your fingertips.
How Cognitive Search gives you the upper hand
Cognitive search holds the promise of augmenting user’s intelligence. Be it employees or customers, cognitive search enables faster and smarter decisions and additionally, enhances productivity. Not only that, but it will also provide a continuous supply of relevant information to cater to the insatiable thirst for information.
We’ll soon have another article diving deep into Cognitive Search and how we’ve enabled iT in Engati. Until then, start adopting AI with Engati’s chatbot solutions.
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