Humphrey Chen: How AI Can Revolutionize the Way We Consume Video
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Humphrey Chen is the CEO and Co-Founder of CLIPr. He has a BS in Management Science from MIT. His work in tech specializes in the use of technology to make people and companies more productive.
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Here’s the timestamps for the episode:
(00:00) – Introduction
(01:36) – CLIPr operating premise is that not all minutes of video content are equally relevant to everyone. So it uses machine learning to fully index that video and make it fully searchable.
(05:02) – Watching a whole video can be inefficient when a participant only wants to watch specific sections. CLIPr team’s speeds up and accelerates more efficient automations to be helpful for both consumers and enterprises.
(06:42) – The tools that CLIPr provides are a way to guarantee target audience engagement rates to be really informative. CLIPr focuses on this video insight when it comes to engagement and interaction around the video itself in a category called video analysis and management.
(08:04) – CLIPr aims to hand out the tools to efficiently find content that matters, bookmark it, share it, react to it, comment on it.
(08:27) – The tools and the skills required to edit a video are completely opposite from the skills and tools required for editing inside of a document. CLIPr bridges the two effectively, by building a video-based document type.
(11:57) – There has not been as much disruption around video. Some use cases that have been thought out include recording customer meetings; customers’ feedback, integrations with a CRM record, and also, provide a score over time around the actual probability of closing a sale based on the relative perception for the customer reaction.
(14:20) – AI, additionally with the hospitals and the medical universities and researchers alike are still using antiquated technology and they’re not extracting insights from these video moments. CLIPr is also useful in telemedicine. For surgeons, CLIPr means high value, highly visual, high-impact in a short time.
(24:26) – Machine learning, in general, it’s all about the data and about engagement and interaction and training new models around the data. So, machine learning allows people to create things and bring solutions. Technology is actually going to find meaningful problems to solve more effectively and more efficiently.
(28:21) – The purpose of services is to build businesses and to augment either with the stable technology or the experimental technology for what will be the future of AI, of natural language processing of emotion, detection of different technologies. Additional progress still needs to happen beyond the data in telemedicine, EMRs or courtrooms.
(31:49) – As new features get uncovered with specific use cases, anyone can benefit from CLIPr video analytics and management platform. There is continued acceleration for product led growth, closing a 5 million seed round with a strategic partner and keeping focus on machine learning and cloud-based services. Rather than just being an endpoint, it analyzes the data, allows for referential utility, allows for collaboration and allows for monthly recurring revenue.