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תוכן מסופק על ידי DataStax and Charna Parkey. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי DataStax and Charna Parkey או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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What is Neuro-Symbolic AI? | Emin Can Turan

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שתפו
 

Manage episode 470797832 series 3604986
תוכן מסופק על ידי DataStax and Charna Parkey. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי DataStax and Charna Parkey או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

In this episode, we dive deep into the world of neuro-symbolic AI with Emin Can Turan, CEO of Pebbles AI. Learn how this technology combines neuroscience, behavioral economics, and AI to revolutionize B2B go-to-market strategies. Emin explains how neuro-symbolic AI bridges the gap between human logic and machine learning, enabling smarter, context-aware systems that democratize complex workflows for startups and enterprises alike.
Timestamps
[00:00:00] - Introduction by Charna Parkey and introduction of Emin Can Turan.

[00:02:00] - Emin’s journey to AI and his background in go-to-market strategies.

[00:06:00] - Emin explains his deep R&D phase and the development of neuro-symbolic AI.

[00:08:00] - Emin describes the architecture of their AI system, including neuro-symbolic AI, generative AI, and agentic frameworks.

[00:10:00] - Explanation of neuro-symbolic AI and its relevance to domain-specific problems.

[00:12:00] - Discussion on the components of go-to-market strategies and the role of psychology and communication.

[00:16:00] -The limitations of generative AI and how they applied strict communication tactics.

[00:22:00] - Discussion on the importance of contextual science and data insights.

[00:24:00] - The three agentic frameworks they use in their system.

[00:26:00] - Explanation of how users control the product and the two co-pilots (strategy and execution).

[00:36:00] - The ethical implications of AI and the potential for misuse.

[00:38:00] - Discussion on the future of AI and the balance between dystopian and hopeful outcomes.

[00:40:00] - Emin emphasizes the importance of truth and transparency in AI development.

[00:42:00] - Emin shares his personal motivation for building his AI startup.

[00:48:00] - Closing remarks and discussion on the user experience of their platform.

[00:50:00] - Charna and Leo discuss the connection between Emin's work and the open-source community.

Quotes

Emin Can Turan

"I felt that this was the future and that AI was the only technology that can digitalize this level of complexity for everyone to use. Nothing else could, you know, you can't use normal neural networks to do this. Even generative AI is not sufficient enough."
Charna Parkey

I would love to be able to use Gen AI for more personal things. I love technology. I have the Oura Ring. I've got the Apple Watch. I want to feed that data into something that can somehow tell me and others, here's your state of mind. Here's what you're going to be affected by.

  continue reading

103 פרקים

Artwork
iconשתפו
 
Manage episode 470797832 series 3604986
תוכן מסופק על ידי DataStax and Charna Parkey. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי DataStax and Charna Parkey או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

In this episode, we dive deep into the world of neuro-symbolic AI with Emin Can Turan, CEO of Pebbles AI. Learn how this technology combines neuroscience, behavioral economics, and AI to revolutionize B2B go-to-market strategies. Emin explains how neuro-symbolic AI bridges the gap between human logic and machine learning, enabling smarter, context-aware systems that democratize complex workflows for startups and enterprises alike.
Timestamps
[00:00:00] - Introduction by Charna Parkey and introduction of Emin Can Turan.

[00:02:00] - Emin’s journey to AI and his background in go-to-market strategies.

[00:06:00] - Emin explains his deep R&D phase and the development of neuro-symbolic AI.

[00:08:00] - Emin describes the architecture of their AI system, including neuro-symbolic AI, generative AI, and agentic frameworks.

[00:10:00] - Explanation of neuro-symbolic AI and its relevance to domain-specific problems.

[00:12:00] - Discussion on the components of go-to-market strategies and the role of psychology and communication.

[00:16:00] -The limitations of generative AI and how they applied strict communication tactics.

[00:22:00] - Discussion on the importance of contextual science and data insights.

[00:24:00] - The three agentic frameworks they use in their system.

[00:26:00] - Explanation of how users control the product and the two co-pilots (strategy and execution).

[00:36:00] - The ethical implications of AI and the potential for misuse.

[00:38:00] - Discussion on the future of AI and the balance between dystopian and hopeful outcomes.

[00:40:00] - Emin emphasizes the importance of truth and transparency in AI development.

[00:42:00] - Emin shares his personal motivation for building his AI startup.

[00:48:00] - Closing remarks and discussion on the user experience of their platform.

[00:50:00] - Charna and Leo discuss the connection between Emin's work and the open-source community.

Quotes

Emin Can Turan

"I felt that this was the future and that AI was the only technology that can digitalize this level of complexity for everyone to use. Nothing else could, you know, you can't use normal neural networks to do this. Even generative AI is not sufficient enough."
Charna Parkey

I would love to be able to use Gen AI for more personal things. I love technology. I have the Oura Ring. I've got the Apple Watch. I want to feed that data into something that can somehow tell me and others, here's your state of mind. Here's what you're going to be affected by.

  continue reading

103 פרקים

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