This chapter explores the evolution of enterprise search tools, from on-premise solutions to modern SAS applications, discussing challenges in discoverability, integration, and the contrast between web indexing and enterprise search. It highlights the benefits and challenges of generative AI in search tasks, emphasizing the need for advancements to enhance knowledge management in enterprises.
Prasad Kawthekar is the Co-Founder & CEO of Dashworks, an all-in-one AI search assistant. It enables users to find any document, message, or email and to accelerate a team's productivity. With over 40+ integrations, Dashworks enables teams to find and organize their internal knowledge across apps from one place and leverage their collective expertise.
In our conversation, we discuss:
- The historical evolution of enterprise search tools
- The challenges to enterprise search adoption: such as API integration complexities persist, hindering widespread adoption
- The role of Generative AI in search
- Limitations of current AI models and what the future holds for them.
- What are some considerations for future AI development?
- The potential of retrieval-augmented generative AI (RAG) in providing accurate and factual responses, while also acknowledging its limitations and potential for further evolution
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