There is a sea change that’s visible in enterprise search trends in recent times. AI (Artificial Intelligence), just as it has impacted other areas of the enterprise work environment (in addition to impacting our individual lives in a notable manner), has influenced this area as well. Consumer internet search is now becoming more personalized and connected, and outdated enterprise search solutions are getting replaced with ‘insight engines’, which bank on AI technologies to ensure better results. Employees search for internal information is now happening in a different way. Today, we have many open-source platforms that have started replacing the older, traditional search solutions. Today we also have cognitive search, which blends machine learning, natural language processing and image processing to transform the way employees interact within enterprise systems. Voice search, which is gaining popularity, is also helping employees within an enterprise accomplish things easily and with more effectiveness.
In this context, let’s take a look at the enterprise search trends that could be termed very relevant for the year 2019:
4 Tips For Enterprise Search Trends
- Open source search engines are here
- Voice search is getting more popular
- Cognitive search is making it all more intelligent
- Enterprise multimedia content easier to find
Open source search engines that are configurable are now in demand, thereby helping enterprise customers cut costs and save time as well. The open source technology, used effectively, brings to us search solutions that provide flexibility and better search functionality, with no licensing cost. Thus, many enterprise customers are now bidding adieu to the proprietary search platforms that worked on closed, complex systems.
People are now increasingly using voice search to search for information and to do many other things in their day to day lives, including shopping, searching for videos and songs etc. Enterprises too are now seeking to adopt search engines equipped with advanced voice-recognition software, which would help employees do quick searches and access productivity apps by simply using their voice on their mobile devices. This would have a direct impact on employee engagement and would also help in time-saving, cost cutting etc.
Cognitive search, which brings together machine learning, natural language processing and image processing, is making the enterprise search scenario more intelligent. Enterprise users are now able to locate relevant image, text, video files etc from within immensely large amount of data, even unstructured organizational data plus external data. Cognitive search also helps employees sift through the unstructured organizational data, searches within which won’t work well using traditional search programs. The cognitive search technology, which uses AI technologies, makes things easily discoverable and also makes it all much more accurate. Cognitive search systems help identify the person who is making the search and in identifying the kind of content that is being searched.
Enterprise multimedia content is now much easier to find, thanks to the inclusion of voice, face and object recognition technologies and improved natural language processing. AI tools are today used to automate the process of tagging image files, video files etc by writing each file’s metadata based on attributes that can be identified by facial, speech and object recognition technologies. Thus, multimedia content, which was often undiscoverable by traditional search, is rendered easier to find now.
Thus, with newer technologies being applied to enterprise search processes, businesses today can make sure that their employees easily find the information that they need and thus end up doing their work much more effectively.