CIO OPINION
Query parsing
Reformulating user queries for processing against the index .
Response quality
Checking the relevance of responses against the initial query .
Generative AI has the potential to transform enterprise search from a transactional to a conversational experience . AI foundational models , when used in conjunction with search technologies , can also power semantic , conversational search . Semantic search analyses the relationships between words as well as words themselves during indexing and query to deliver more relevant search experiences .
AI-driven search engines can help reshape how users interact with search capabilities through natural language processing , and machine learning .
• Include intended usage scenarios and how to provide user feedback .
This has the potential to democratise access to information , where the users ’ intent is better understood , and vital information is delivered to their fingertips . As a result , it enables them to make business decisions or perform tasks in a more productive manner .
Most businesses today are drowning in a massive sprawl of information , which is difficult to navigate and find . There are a variety of custom and bespoke tools that have been deployed with limited success .
Generative artificial intelligence , in isolation , is neither an alternative nor a replacement for current search technologies . Nevertheless , AI-driven search engines can help reshape how users interact with search capabilities through natural language processing , NLP and machine learning , ML .
Gartner estimates that , by 2027 , generative AI models will underpin 60 % of NLP use cases , a major increase from fewer than 10 % in 2022 .
Generative AI can enable a broad range of searchrelated tasks , including the following :
Summarisation
Generating summaries to be returned in response to searches .
Classification
Capturing and attributing metadata to digital assets and their parts .
The potential to bring a conversational experience to organise and discover information , often in real-time , can be of enormous value for businesses across the globe .
Enterprise search is a horizontal use case and organisations in every industry will benefit from it . Knowledge industries such as information technology , life sciences , financial services , healthcare , telecommunications , media and entertainment will be some of the early adopters .
For example , generative AI-powered enterprise search can enhance the clinician experience in healthcare , enabling care teams to access critical medical information at the point of care .
Deploying generative AI use cases also involve a level of sophistication in leveraging large language models with high degree of cognition , cohesiveness and knowledge grounding . There are a number of SaaS solutions emerging that promise to make enterprise deployments more seamless to implement . p
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