AI: Natural Interactions Between Man & Machine
In an increasingly connected world, our devices will become an extension of ourselves, embracing elements of ambient intelligence, voice and natural language understanding to not only deliver desired information, but understand our needs/wants in predictive, contextual ways as they learn about us and our surroundings. Enabled by cloud-based intelligent systems and personal assistant technologies, we’re reaching a new level of man/machine interaction through the intelligence behind the way our requests are processed and subsequently entering an era of big data that’ll enable intelligent, natural interactions that anticipate and proactively address our needs. In order to truly capture human interaction, the next generation of technologies need to detect subtle cues from our voice, expressions, gestures and intent. Complex interactions such as these will become just as natural as interacting with another person. How do we make man/machine come together so our interactions are organic?
Chief Technology Officer
As Nuance's Chief Technology Officer, Vlad Sejnoha oversees Nuance's research and focuses on core technology and product strategy, with an emphasis on emerging areas including natural language processing and mobile applications. Prior to joining Nuance, Vlad was the Chief Scientist at L&H, and earlier at Kurzweil AI, where he was responsible for creating technology for a number of commercially successful speech recognition products, including large vocabulary continuous speech dictation systems. Vlad has over 20 years of experience in the field of speech recognition and holds thirteen US patents.