Did you know that you can improve your search solutions with artificial intelligence (AI)?
Use Natural Language Processing (NLP) to convert questions asked in natural language to queries that the computer can understand and respond to in a conversational user interface like a chatbot. Use Named Entity Recognition (NER) to identify key entities like people, organizations and places in your data and use this information to inprove filtering and relevance. Deploy Machine Learning (ML) algorithms to classify your documents and cluster your search results to help end-users explore your datasets better.
Everything you need to know, in only 15 minutes
Listen to this, 15 minute, recorded, webinar where you will learn how your company can gain from the AI technology “smorgasbord” offered today to make the most out of your information assets. The host, Mickel Grönroos, advisor and senior consultant at Findwise has worked with search technology for over 20 years. He has helped many organisations with a more personalized and contextual search experience.
What is Cognitive Search?
According to Forrester, Cognitive Search Is The AI Version Of Enterprise 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"
Forrester explains that Cognitive search solutions are different because they:
- Scale to handle a multitude of data sources and types.Search is no longer just about unstructured text contained in documents and web pages. Cognitive search solutions can also accommodate structured data contained in databases and even nontraditional enterprise data like images, video, audio, and machine data such as from internet-of-things (IoT) devices.
- Employ artificial intelligence technologies. The distinguishing characteristic of cognitive search solutions is that they use natural language processing (NLP) and machine learning to understand and organize data, predict the intent of the search query, improve relevancy of results, and automatically tune the relevancy of results over time.
- Enable developers to build search applications. Search is not just about a text box on an enterprise portal. Enterprises build search applications that embed search in customer 360 applications, pharma research tools, and many other business process applications. Virtual digital assistants such as Amazon Alexa, Google Now, and Siri would be useless without powerful search behind the scenes. Enterprises wishing to build similar applications for their customers will also benefit from cognitive search solutions. Cognitive search solutions provide SDKs, APIs, and/or visual design tools that allow developers to embed the power of the search engine in other applications.