Purpose of the Article: To bring in leads for MOURI Tech in Enterprise Search space
Intended Audience: Customers who are currently ongoing digital transformation journey
Tools and Technology: Sinequa, Elastic Search, Solr, Lucene, Workplace Search, Enterprise Search
Keywords: Sinequa, Elastic Search, Apache Solr, Lucene, Workplace Search, Enterprise Search, Intranet Search
Several innovative technologies and trends will shape Enterprise Search in the future:
- Artificial Intelligence and Machine Learning:
Among the major trends in Enterprise Search are the increasing use of Artificial Intelligence (AI) and Machine Learning technologies. They are being used to enhance search relevance and accuracy and automate tasks like indexing and categorization. AI and Machine Knowledge, for instance, can be used to analyze user behaviors and identify patterns in which document users typically click for a particular query. Using this information, future search results can be ranked accordingly, giving users a better overall search experience.
- Natural Language Processing:
Among other trends, natural language processing (NLP) is becoming increasingly popular. This enables computers to comprehend and process human language. Natural language processing (NLP) enhances Enterprise Search solutions’ capability to understand Natural Language queries. This way, users do not need to worry about searching for specific words or phrases to find the information they need, leading to a hassle-free search experience.
- Voice Search:
Another area that is expected to grow considerably in the coming years is Voice Search. The increasing use of virtual assistants such as Amazon’s Alexa and Google Assistant will make enterprise search solutions that support voice search more attractive to consumers. Among the steps involved could be the implementation of Natural Language Processing capabilities for understanding and responding to spoken queries and optimizing search results to be delivered via Voice.
- Big Data and Analytics:
Big Data and Analytics also play a significant role in the future of Enterprise Search. Data generated and collected by organizations is increasing rapidly, hyping the need for advanced search solutions that can handle Big Data and provide insights through Analytics. This could involve implementing search solutions that can process and analyze structured and unstructured data from various sources, such as social media, weblogs, and sensor data.
To stay ahead of the curve and continue to improve their search capabilities, organizations can:
- Speak on the latest technologies and trends in Enterprise Search. This could involve attending conferences, and workshops, reading industry publications, and networking with other professionals
- Invest in training and development for their search teams. As new technologies and approaches emerge, it is essential for the search teams to upgrade themselves and have the skills and knowledge needed to take advantage of these technologies
- Reassess and review their search capabilities. By periodically reviewing their search solution, organizations can identify areas for improvement and consider implementing recent technologies and approaches as needed
- Gathering feedback from users. By collecting user feedback about their search experience, organizations can identify areas for improvement and optimize their search solutions accordingly
- Working with a search vendor or a consulting firm like MOURITech. Organizations can benefit from the expertise of a search vendor or consulting firm that has experience in the latest technologies and can help them stay ahead of the curve
Author Bio:
Neha Tak
Specialist - Analytics
Cognitive Search Analyst– Passionate software developer with 4 years' of experience in enterprise search, always eager to explore new possibilities, proficient in Sinequa, C#, Python, with a strong drive to see things through to completion