AI Transform with Ryo Katsuki

By: Ryo Katsuki Dave McCombs Douglas Kirkpatrick
  • Summary

  • News, analysis and interviews on digital transformation in business and government. While big data, machine learning and artificial intelligence are transforming organizations across the globe, we showcase the trends, technology and business leadership behind human-centric AI.
    2021 My Ninja Media
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Episodes
  • About Face: AI and the Future of Public Experience
    May 4 2022

    News items:
    Japanese researchers show biometrics accurately predict sentiment
    Northeastern University narrows focus on human-centric AI
    US, Singapore ally on AI research, platforms
    --read by Douglas Kirkpatrick
    --commentary by Ryo Katsuki and Dave McCombs

    Interview:
    Andrew Schwabecher, CEO of Japan Computer Vision Corp. Andrew shares his insights on the vast potential for facial recognition and he is working with major companies in Japan to transform experiences using the technology. He also delves into how JCV has developed an ethical approach that is winning trust from users who may be concerned about the potential abuses of facial recognition technology. JCV has identified 10 million potential locations for facial recognition in Japan and has already developed 35 use cases for the technology. This is a company that’s on the cutting edge of deploying a technology that is almost certain to play a key role in transforming how we go about shopping, working and traveling.
    --Interview by Ryo Katsuki

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    33 mins
  • AI and the Business of Paying Attention
    Apr 12 2022
    Along with a prime selection of news on data science and artificial intelligence, this special episode takes a look at the Ignitus AI Interest Indicator Index. Ignitus AI Executive Director Ryo Katsuki walks and talks us through how his team built this tool, how they're using it and where it's heading in terms of use cases.
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    19 mins
  • AI and the Mind of a Maestro: Beethoven X
    Dec 31 2021

    Some of the world's leading AI researchers put musicologists, scholars and composers together with artificial intelligence tools to complete Beethoven's unfinished 10th symphony. This audacious experiment in computer-assisted creativity helps define the outer limits of what the technology can do, while highlighting all that is indelibly human about great works of art. To explore this, we interviewed Rutgers computer science professor and Beethoven X AI team leader Ahmed Elgammal, and composer Walter Werzowa. Beethoven scholar and composer Barry Cooper and author/composer Jan Swafford give us their views on where Beethoven X falls short.

    Be sure to check out Dr. Elgammal's website https://www.playform.io
    There you will find fun, easy-to-use tools for exploring the power of AI to generate images, manipulate photos and help artists be more creative.

    Sony has been working away at using AI to generate music. Their projects include a fantastic Web site and app called Flow Machines. Check it out here: https://www.flow-machines.com/

    Here is the "fruit" of Sony's earlier effort to use AI to clone a Beatle's song: https://www.youtube.com/watch?v=LSHZ_b05W7o

    Amazon also gets you in on the fun by making it easy to explore machine learning while making music. They've cut the price of their $99 keyboard/computing resources package to $39.99 for the "AWS DeepComposer" set. Find details here: https://aws.amazon.com/deepcomposer/

    Back in 1988, before AI could have been considered as a creative tool, Dr. Barry Cooper was bringing the world his version of Beethoven's 10th -- the first movement. You can listen to that 1988 recording here: https://youtu.be/To4HHCZtNXg

    AI Transform with Ryo Katsuki is brought to you by IgnitusAI. For more about how IgnitusAI initiates and orchestrates hyperagile business transformations with tools from the world of machine learning, neural networks and natural language processing, go to www.ignitus.ai

    The podcast is produced by hyperagile digital branding studio My Ninja Media.

    Thanks for listening, subscribing, liking and sharing this podcast.

    We welcome all comments, criticism, praise, suggestions and thoughts sent by email to podcast@ignitus.ai


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    42 mins

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