Maria Pocovi
About Maria Pocovi
Maria Pocovi is the Senior Director of R&D for Emotion AI at Uniphore, where she has worked since 2023. She has extensive experience in the field, having previously held senior roles in product marketing and video AI, and contributed to significant advancements in Emotion AI technology.
Current Role at Uniphore
Maria Pocovi serves as the Senior Director of R&D for Emotion AI at Uniphore, a position she has held since 2023. In this role, she focuses on advancing Emotion AI technologies that integrate emotional intelligence with computer vision. Her work aims to enhance the understanding of human emotions in digital interactions, contributing to the development of innovative solutions in the field.
Previous Experience at Uniphore
Prior to her current role, Maria Pocovi worked at Uniphore in various senior positions. From 2022 to 2023, she was the Senior Director of Video AI Business. Before that, from 2021 to 2022, she held the position of Senior Director of Product Marketing. Her tenure at Uniphore began when her company, which specialized in Emotion AI technology, was acquired.
Leadership Experience
Maria Pocovi was the CEO of Uniphore + Emotion from 2013 to 2022. During her nine years in this role, she led the company in developing Emotion AI solutions. Her leadership contributed to the growth and integration of advanced emotional intelligence technologies within the organization.
Educational Background
Maria Pocovi has a diverse educational background. She studied Marketing at ESIC Business & Marketing School, where she achieved a Licentiate degree from 1993 to 1998. She also completed an MBA at Universidad Católica de Valencia San Vicente Mártir from 2006 to 2007. Earlier, she studied Logistics at ADL for one year in 1997-1998.
Contributions to Emotion AI Technology
Maria Pocovi has made significant contributions to the field of Emotion AI. She played a key role in creating 'Q for Sales,' an EQ-based sales solution that offers real-time and post-call sentiment analysis for B2B sales teams. Additionally, she developed 'Multimodal Emotion AI' technology, which combines facial and speech analysis to improve the understanding of human emotions.