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The End of Focus Groups? How This AI Reads Your Mind Before You Speak

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Manage episode 476298076 series 3507779
Content provided by Block Fuel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Block Fuel 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://ppacc.player.fm/legal.

In this episode of the Block Fuel Podcast, we dive into the innovative world of Beelines.ai with CTO Greg and Head of Business Development and Marketing, Isaac. Discover how they are transforming market research and customer insights through their cutting-edge 'human intelligence model.' Learn about their unique systems including the personality engine, skills engine, and knowledge and memory aspects that mimic human behavior. Explore how Beelines.ai helps brands like Nike understand their target audiences by creating digital twins and simulating customer interactions. Uncover the economic opportunities for consumers to engage with their own digital twins and participate in tailored focus groups. We also delve into the powerful implications for Web3, including decentralized platforms, open source code bases, and micropayments through crypto. Don't miss out on this fascinating discussion on the future of AI, marketing, and consumer insights, all while enhancing accuracy and engagement.00:00 Introduction to the Human Intelligence Model00:58 Welcome to the Block Fuel Podcast01:14 Understanding Beelines AI and Its Applications02:31 Simulating Customer Personas with AI04:32 Human Interaction and AI Training11:57 Web3 Integration and Decentralization12:55 Introduction to BNS and Discoverability13:26 Economic Integration with Wallets13:57 Developer Interface and Toolkits15:00 Ad Platform and Consumer Insights15:30 On-Chain Elements and Web3 Power16:09 Market Research and Feedback19:17 Influencer Marketing and Audience Engagement21:08 Future Developments and Tools23:58 Conclusion and Final Thoughts

  continue reading

104 episodes

Artwork
iconShare
 
Manage episode 476298076 series 3507779
Content provided by Block Fuel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Block Fuel 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://ppacc.player.fm/legal.

In this episode of the Block Fuel Podcast, we dive into the innovative world of Beelines.ai with CTO Greg and Head of Business Development and Marketing, Isaac. Discover how they are transforming market research and customer insights through their cutting-edge 'human intelligence model.' Learn about their unique systems including the personality engine, skills engine, and knowledge and memory aspects that mimic human behavior. Explore how Beelines.ai helps brands like Nike understand their target audiences by creating digital twins and simulating customer interactions. Uncover the economic opportunities for consumers to engage with their own digital twins and participate in tailored focus groups. We also delve into the powerful implications for Web3, including decentralized platforms, open source code bases, and micropayments through crypto. Don't miss out on this fascinating discussion on the future of AI, marketing, and consumer insights, all while enhancing accuracy and engagement.00:00 Introduction to the Human Intelligence Model00:58 Welcome to the Block Fuel Podcast01:14 Understanding Beelines AI and Its Applications02:31 Simulating Customer Personas with AI04:32 Human Interaction and AI Training11:57 Web3 Integration and Decentralization12:55 Introduction to BNS and Discoverability13:26 Economic Integration with Wallets13:57 Developer Interface and Toolkits15:00 Ad Platform and Consumer Insights15:30 On-Chain Elements and Web3 Power16:09 Market Research and Feedback19:17 Influencer Marketing and Audience Engagement21:08 Future Developments and Tools23:58 Conclusion and Final Thoughts

  continue reading

104 episodes

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