'Search' is evolving at a rapid pace with the introduction of chatGPT, Bard and other LLM (large language models), and is acting as a forcing function for organizations to re-define their Search strategy - consumer and enterprise.

In this talk, we'll discuss the historical evolution of search in the last few decades, how user behaviour is shifting to become more interoperable across devices and canvasses, the major trends we're witnessing in the industry with advances in ML models, and how organizations can adapt to this fast paced trajectory.

This talk will arm you with an understanding of what Search might look like in the future, both from a consumer and an enterprise search perspective, and help you gain insights on how you can adapt to these new search trends.

Key Take-aways -

1. Search and Task Automation will tightly integrate to create faster user workflows.
2. Voice technology will see a resurgence as more users employ multiple devices to accomplish tasks.
3. LLM (large language models) will evolve into Multi-modal models to encompass image, video and audio search.
4. Recommendations would become more proactive and actionable i.e. taking the form of actionable AI-generated content.
5. 'Search' as we know it, might not exist.