Companies are in fierce competition to provide solutions that can effectively bridge the gap between human and machine interactions in the swiftly evolving realm of conversational artificial intelligence (AI).
Openstream, with its Enterprise Virtual Assistant (EVA) platform, seeks to aid businesses in communicating through its newly patented software. The company states that EVA facilitates the development of AI avatars, digital assistants, and voice agents capable of engaging in human-like conversations without the requirement for intricate back-end systems, scripts, or illusions.
In the competitive linguistic AI market, major players such as IBM, Microsoft, Google, Amazon, and Nuance Communications offer their own solutions. Many companies utilize generative AI (GenAI) for such interactions, which may be susceptible to illusions and have limitations in handling complex exchanges. However, Openstream’s innovative approach combines the capabilities of large language models (LLMs) with symbolic AI planning and logic.
Openstream’s CEO and founder, Raj Tumuluri, emphasized the uniqueness of their approach to discourse control, highlighting that they do not depend on pre-designed speech text. By integrating the comprehension of dialog steps, conditions, and entities (the brain element utilizing LLMs) with reasoning and planning capabilities (the symbolic element), Openstream delivers robust features.
In a recent development, Openstream has patented an approach aimed at enhancing the human-like understanding and responses of online service providers, leading to an improved user experience. This innovation introduces additional modalities to convey emotions, enabling the delivery of official statements with warmth and empathy, ultimately enhancing user engagement.
Tumuluri explained that while most companies categorize user inputs to predefined intents and actions, Openstream’s model goes beyond by considering the user’s present emotions and personality traits to respond appropriately with suitable emotions. This personalized approach enhances user engagement and fosters more meaningful interactions.
Voice interaction has become increasingly popular, with a significant number of U.S. consumers engaging with voice assistants regularly. Despite its convenience, voice AI faces challenges related to privacy, security, and ethical data handling, underscoring the need for ongoing advancements in the field.
Looking ahead, Openstream aims to achieve human-level understanding and interaction in conversational AI, focusing on enhancing AI avatars with human-like emotions and personalities. The company is actively addressing challenges such as hallucinations in LLMs by refining datasets and model variations to improve reasoning and planning capabilities.
Moreover, Openstream is developing user-friendly software to facilitate the creation of dialogue domains without the need for programming. Through their neuro-sympathetic dialogue manager, Openstream aims to empower businesses to build intricate dialogue domains using visual tools and existing business documents, democratizing the dialogue domain creation process.
