Showing results by author "AI For The People" in All Categories
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Reading a Person Like a Book Podcast
- Written by: Reading a Person Like a Book: An AI Podcast
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"Reading a Person Like a Book" - Unlock the Secrets of Human BehaviorWelcome to Reading a Person Like a Book: The AI Perspective! In this podcast, we delve into the groundbreaking principles of understanding human behavior, inspired by the transformative book Reading a Person Like a Book. Whether you’re looking to enhance your personal relationships, excel in your career, or simply become a more intuitive observer of the world around you, this podcast is your ultimate guide.Each episode is uniquely crafted using cutting-edge AI technology, offering you insightful summaries, actionable ...
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AI For The People
- Written by: AI For The People
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Welcome to AI For The People, your gateway to the world of artificial intelligence, creativity, and mental well-being! Join me as we explore AI tools, automation, and their real-life applications. Each episode features engaging discussions with experts who share insights on harnessing AI for personal and professional growth. I also prioritize mental health, offering strategies to maintain balance in our tech-driven lives. Whether you're a pro or just curious about AI, AI For The People is your go-to resource for education, inspiration, and community! ☕https://buymeacoffee.com/klovesl...
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Hidden in Plain Sight: The Enterprise Revenue Intelligence Podcast
- Written by: people.ai
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Welcome to Hidden in Plain Sight: The Enterprise Revenue Intelligence Podcast for revenue leaders in yes, sales, marketing and customer success. Because we all share the same goal: revenue growth. Always more. Always faster. We’ll learn how to drive revenue as we examine real-life insights from multiple angles with human flavor since “people buy from people”. Hosted by Mariana Cogan and Art Harding.
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Tic-Tac-Toe the Hard Way
- Written by: People + AI Research
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A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
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