LEADING IN THE INDUSTRY
TECHNOLOGY AND MEDIA VETERANS
BUILT FOR MEDIA, BY MEDIA
I have had a lifelong passion for technology, great product design, delighting customers and building innovative businesses.
My great fortune led to being a co-founder and chief executive of Questra, one of the first large-scale (Internet of Things) companies, along with significant time spent at companies like General Electric and Xerox
What we’re now doing at Resonance AI, though, is the most exciting work I’ve ever been a part of.
Using AI to look at video like a human would, but on a vast scale, marries nuance with immense processing power, allowing for applications that touch every aspect of video, from greenlighting new content to online moderation.
The creation and consumption of video continues to explode globally, and we see Resonance AI as an essential tool in understanding not only what is being watched, but who is watching it.
President, Co-Founder, COO
I’ve spent almost 20 years advancing the industries of media and advertising, leading strategic planning, developing new revenue streams and executing multiplatform initiatives for both traditional and digital media properties.
As technology kept progressing, I began to realize that both media and advertising faced a serious lack of decision-making based on data.
This is what inspired the founding of Resonance AI.
We harness artificial intelligence and machine learning to get to the heart of the questions that these industries are trying to answer, namely how to attract audience, retain that audience and increase revenue.
Knowing what media and advertising truly need, and providing those crucial insights based on data, is how Resonance AI is helping them thrive heading into the future.
Chief Data Scientist
Monitoring basic vital signs over time saves lives. As a data scientist with a background in clinical medicine I am partial to simple metrics that can provide clear insight into complex processes.
Similarly, content lifecycles are also multidimensional and determining which factors lead to positive outcomes is not a trivial task.
I am fascinated by the concept and challenge of leveraging machine learning to create vital signs for video: translating an incredibly complex process to simple actionable metrics.
From news broadcasts to movies, video content has many different forms, characteristics, and goals. How we watch and engage with content evolves everyday.
Over the last year and a half, my team has researched and developed models to watch and listen to video content and relate these experiences to a continually evolving set of viewership data.
The models function together to extract core content attributes and align them with audience responses.
Our efforts have resulted in a Resonance Score, the vital sign for video content.