The release of ChatGPT one year ago unleashed tremendous expectations for enterprises to leverage Large Language Models (LLMs) and Generative AI resources. Businesses are steadily exploring applications and use cases that improve customer experience, employee productivity, and prospects for increased revenue.

A new Opus Research report charts the evolutionary progress in adoption and deployment of intelligent assistance for both self-service and agent-assistance, reflecting a high awareness of Generative AI accompanied by high expectations for LLMs to deliver business value.

A Generational Shift to LLMs and Generative AI
Early bots were not much more than “conversational FAQs,” enabling users to use their own words to query static knowledge repositories. Significant resources have been invested in building language models to support a broader range of activities and outcomes. The next progression has been to employ LLMs and Generative AI resources to improve understanding, recognize
intents, extract insights, and generate personalized and accurate responses

In this 2023 edition of the Conversational AI Intelliview, Opus Research evaluates 15 leading Enterprise Intelligent Assistants providers who are under increasing pressure to leverage emerging technologies for automated, natural-language, self-service solutions and the ongoing refinement of voicebots, chatbots, and other conversational assistants.

Featured Research Reports are available for clients and registered users only.

Click Here to View the Report Summary

For more information on becoming an Opus Research client or to purchase the report, please contact Pete Headrick (pheadrick@opusresearch.net, +1-415-904-7666).

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