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. In this 2023 edition of the Conversational AI Intelliview, Opus Research evaluates 1 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.
We’ve entered the “post-transformer era.” Enterprises of all sizes have high awareness of and expectations for Large Language Models (LLMs) and Generative AI resources to fuel applications and use cases that improve customer experience, employee productivity, and prospects for increased revenue. Leading Conversational AI providers are under increasing pressure to leverage these emerging technologies, while running the risk of obsoleting past investments by enterprise customers in precursor “Conversational AI” technologies, meaning ones focused on natural language processing, intent discovery, and multiple bots.
