AI in Action E285: Dan Kokotov, VP of Engineering within Speech Technologies at Rev.com
AI in Action, Podcast | November 22 2021 | JP Valentine
Welcome to episode 285 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today’s guest is Dan Kokotov, VP of Engineering within Speech Technologies at Rev.com. Founded in 2010, Rev is a venture-backed internet startup headquartered in Austin with an office in San Francisco who offer speech-to-text services by combining the world’s best AI with the fine-tuning of the human ear to transcend the limits of audio.
They continually enhance their best-in-class technology to deliver services with true-to-word accuracy and industry-leading turnaround times at-scale, at all times and for the best price. Rev are obsessed with the intricacies of language and have built intuitive tools to streamline workflows, including platforms for transcription, video captioning and world-language subtitling.
In the episode, Dan will discuss:
Rev’s interesting work in innovative speech-to-text services
The role of AI & Data Science in enhancing their products & services
Benefits that Rev AI brings to customers
How the tech team has evolved and interesting projects they work on
Helping you become more efficient in a remote working world
To find out more about Dan and all the great work happening at Rev, check out the website www.rev.com or follow them on Linkedin and Twitter @rev. You can also connect with Dan on Linkedin.
What did you think of Dan’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from The Alldus Podcast then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
Welcome to episode 285 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today’s guest is Dan Kokotov, VP of Engineering within Speech Technologies at Rev.com. Founded in 2010, Rev is a venture-backed internet startup headquartered in Austin with an office in San Francisco who offer speech-to-text services by combining the world’s best AI with the fine-tuning of the human ear to transcend the limits of audio.
They continually enhance their best-in-class technology to deliver services with true-to-word accuracy and industry-leading turnaround times at-scale, at all times and for the best price. Rev are obsessed with the intricacies of language and have built intuitive tools to streamline workflows, including platforms for transcription, video captioning and world-language subtitling.
In the episode, Dan will discuss:
Rev’s interesting work in innovative speech-to-text services
The role of AI & Data Science in enhancing their products & services
Benefits that Rev AI brings to customers
How the tech team has evolved and interesting projects they work on
Helping you become more efficient in a remote working world
To find out more about Dan and all the great work happening at Rev, check out the website www.rev.com or follow them on Linkedin and Twitter @rev. You can also connect with Dan on Linkedin.
What did you think of Dan’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from The Alldus Podcast then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
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