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Inhalt bereitgestellt von DataStax and Charna Parkey. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von DataStax and Charna Parkey oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
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Transforming Food Systems with Regenerative AI with Ethan Soloviev

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Manage episode 443179549 series 3604986
Inhalt bereitgestellt von DataStax and Charna Parkey. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von DataStax and Charna Parkey oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Ethan Soloviev, Chief Innovation Officer at HowGood, reveals how generative AI can revolutionize the food and agriculture industry. Discover the potential of AI to create a regenerative, sustainable, and net-positive food system that benefits the planet and all living beings.
Timestamps

1. Introduction and Background (00:00:00 - 00:01:16)

2. Ethan's Journey (00:01:16 - 00:05:12)

3. The Role of Food and Agriculture (00:05:12 - 00:06:52)

4. Investment in Regenerative Agriculture and Generative AI (00:06:52 - 00:07:44)

5. Levels of AI Impact (00:07:44 - 00:12:42)

6. HowGood's Use of AI (00:12:42 - 00:13:20)

7. Consumer Impact and Corporate Responsibility (00:13:20 - 00:15:44)

8. Future of AI in Food Systems (00:15:44 - 00:20:30)

9. Innovative Perspectives on AI Training (00:20:30 - 00:21:10)

10. Action models in agriculture, optimizing water and soil use on a larger scale. (00:24:14 - 00:25:28)

11. Discussion on integrating human cultural geography into AI models. (00:27:37 - 00:30:00)

12. Charna and Ethan discuss procurement decisions and their impact on sustainability. (00:30:20- 00:40:15)

13. The ethical implications of AI in corporate and government decision-making. (00:42:01 - 00:54:31)

14. Leo brings up the impact of AI on consumers, discussing how AI can change purchasing decisions by highlighting product sustainability. (00:54:40 - 00:55:30)

15. Charna elaborates on using AI to understand different business models and how generational changes affect consumer choices. (00:55:47 - 00:57:32)

Quotes

Ethan Soloviev

"What if we're using ecological data? What if we're training on trees and insects and animals and whale song? What kind of questions would a gen AI trained on whale song and hummingbird language ask us?"

Charna Parkey

"If we have this great translator that is Gen AI, we already have text and language to code. We can do code generation. We can already interpret this code and tell me what it's going to do. Take that code to language. Why can't we do that with some of these other senses and these other measurements?"

Connect with Ethan
Connect with Charna

  continue reading

103 Episoden

Artwork
iconTeilen
 
Manage episode 443179549 series 3604986
Inhalt bereitgestellt von DataStax and Charna Parkey. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von DataStax and Charna Parkey oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Ethan Soloviev, Chief Innovation Officer at HowGood, reveals how generative AI can revolutionize the food and agriculture industry. Discover the potential of AI to create a regenerative, sustainable, and net-positive food system that benefits the planet and all living beings.
Timestamps

1. Introduction and Background (00:00:00 - 00:01:16)

2. Ethan's Journey (00:01:16 - 00:05:12)

3. The Role of Food and Agriculture (00:05:12 - 00:06:52)

4. Investment in Regenerative Agriculture and Generative AI (00:06:52 - 00:07:44)

5. Levels of AI Impact (00:07:44 - 00:12:42)

6. HowGood's Use of AI (00:12:42 - 00:13:20)

7. Consumer Impact and Corporate Responsibility (00:13:20 - 00:15:44)

8. Future of AI in Food Systems (00:15:44 - 00:20:30)

9. Innovative Perspectives on AI Training (00:20:30 - 00:21:10)

10. Action models in agriculture, optimizing water and soil use on a larger scale. (00:24:14 - 00:25:28)

11. Discussion on integrating human cultural geography into AI models. (00:27:37 - 00:30:00)

12. Charna and Ethan discuss procurement decisions and their impact on sustainability. (00:30:20- 00:40:15)

13. The ethical implications of AI in corporate and government decision-making. (00:42:01 - 00:54:31)

14. Leo brings up the impact of AI on consumers, discussing how AI can change purchasing decisions by highlighting product sustainability. (00:54:40 - 00:55:30)

15. Charna elaborates on using AI to understand different business models and how generational changes affect consumer choices. (00:55:47 - 00:57:32)

Quotes

Ethan Soloviev

"What if we're using ecological data? What if we're training on trees and insects and animals and whale song? What kind of questions would a gen AI trained on whale song and hummingbird language ask us?"

Charna Parkey

"If we have this great translator that is Gen AI, we already have text and language to code. We can do code generation. We can already interpret this code and tell me what it's going to do. Take that code to language. Why can't we do that with some of these other senses and these other measurements?"

Connect with Ethan
Connect with Charna

  continue reading

103 Episoden

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