Adam Torres and Rana Gujral discuss advanced Voice-AI engines.
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Show Notes:
Behavioral Signals’ unprecedented success in leveraging its advanced Voice-AI engines at financial institutions was published in a Gartner case study titled ‘Using Emotion AI Technology to help with Underperforming Loans’ and a report titled ‘Three Best Practices for Product Managers to Drive Adoption of Emotion AI Technology’. In this episode, Adam Torres and Rana Gujral, CEO at Behavioral Signals, explore advanced Voice-AI engines and the future of the space.
About Rana Gujral
Rana Gujral is an entrepreneur, speaker, investor and the CEO of Behavioral Signals, an enterprise software company that delivers a robust and fast evolving emotion AI engine that introduces emotional intelligence into speech recognition technology. Rana has been awarded the ‘Entrepreneur of the Month’ by CIO Magazine and the ‘US China Pioneer’ Award by IEIE, he has been listed among 8 A.I. Entrepreneurs to Watch in 2019 by INC Magazine and Top 10 Entrepreneurs to follow in 2017 by Huffington Post. He has been a featured speaker at the World Government Summit in Dubai, the Silicon Valley Smart Future Summit, and IEIE in New York. He is a contributing columnist for TechCrunch and Forbes.
In 2014, Rana founded TiZE, a cloud software for specialty chemicals, and held the role of CEO until 2016. Prior to TiZE, He was recruited to be a part of the core turnaround team for Cricut Inc. At Cricut, Rana led the initiative to build a first of its kind, innovative product for the DIY community and prompted the turnaround of Cricut’s EBITDA position from bankruptcy to profitability within a span of 2 years. Previously, Rana held leadership positions at Logitech S.A. and Kronos Inc., where he was responsible for the development of best-in-class products generating billions in revenue and contributed towards several award-winning engineering innovations.
About Behavioral Signals
Behavioral Signals (Behavioral Signal Technologies, Inc.) develops technology to analyze human behavior from voice-data. Using the Oliver API for Emotions & Behavior Recognition, our flagship product, enterprises can track emotions and behaviors in conversations and get a complete view of related key performance indicators.
Our award-winning emotion recognition and behavioral prediction analytics technology utilizes cognitive modeling and advanced machine learning algorithms. This enables us to provide enriched conversational insights for interaction with voice assistants, chatbots, robotic virtual assistants, social healthcare robotics and mobile voice assistants. We understand not only what is being said but how it is being said, the emotions, intentions, state-of-mind and behaviors of each person.
We leverage huge amounts of voice-data and deep learning to provide valuable data-informed business insights, while technically enabling human-to-machine conversational AI to have meaningful interactions, making the experience feel like chatting with a friend or someone who really understands you and responds appropriately.
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