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Startup Funding Espresso – Diligencing AI Startups

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Content provided by Hall T Martin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hall T Martin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Diligencing AI Startups Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Artificial intelligence or AI brings new capabilities and applications. Many startups launch their business around AI technology. Investors considering an investment in an AI startup should check the following: Source of data. Does the startup have access to data sets? Unique data. Does the startup have a data set that others do not have access to? Clean data. Is the data clean and ready for use or must it go through a costly cleaning process? Quantity of data. Does the startup have access to a substantial amount of data? Cost of processing. How much does it cost to process the data? Machine learning. Also called ML. Do they have their own ML model or are they using an open-source one? Core competency. What is their core competency -- core data, machine learning, user interface, and others? ML skills. Does the team have a core skill set around developing ML? Data collection regulatory Does the team gather and use the data sets within compliance? Consider these factors when you are conducting your diligence on an AI startup. Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let’s go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at: Check out our other podcasts here: For Investors check out: For Startups check out: For eGuides check out: For upcoming Events, check out For Feedback please contact [email protected] Please , share, and leave a review. Music courtesy of .
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2437 episodes

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Manage episode 476219552 series 2414821
Content provided by Hall T Martin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hall T Martin or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Diligencing AI Startups Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Artificial intelligence or AI brings new capabilities and applications. Many startups launch their business around AI technology. Investors considering an investment in an AI startup should check the following: Source of data. Does the startup have access to data sets? Unique data. Does the startup have a data set that others do not have access to? Clean data. Is the data clean and ready for use or must it go through a costly cleaning process? Quantity of data. Does the startup have access to a substantial amount of data? Cost of processing. How much does it cost to process the data? Machine learning. Also called ML. Do they have their own ML model or are they using an open-source one? Core competency. What is their core competency -- core data, machine learning, user interface, and others? ML skills. Does the team have a core skill set around developing ML? Data collection regulatory Does the team gather and use the data sets within compliance? Consider these factors when you are conducting your diligence on an AI startup. Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let’s go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at: Check out our other podcasts here: For Investors check out: For Startups check out: For eGuides check out: For upcoming Events, check out For Feedback please contact [email protected] Please , share, and leave a review. Music courtesy of .
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