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Unlocking Intelligent Digital Products: AI, ML, and Trust in Data - A Conversation with Joseph Reeve from Amplitude's AI R&D Team

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Contenuto fornito da Tina Yazdi. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tina Yazdi o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Joseph Reeve from Amplitude Analytics' AI R&D team explores the world of building intelligent digital products using AI and ML. In our conversation we cover:

  1. Data Governance: Discussion on the importance of data governance, including proactive and reactive strategies. Proactive governance involves planning data collection, while reactive governance focuses on fixing data issues after they occur.
  2. Interdisciplinary Collaboration: Highlighting the interdisciplinary nature of AI projects and the significance of collaboration among different roles to achieve success.
  3. AI in Digital Products: Delving into the role of AI in the future of digital products, emphasizing integration into every feature for personalized experiences.
  4. Key Takeaways: Exploring lessons learned from their journey, such as the importance of trust in data, robust data governance, and rapid iteration.
  5. Team Structure: Describing the team at Amplitude, consisting of product engineers and machine learning scientists, and their unconventional formation from a data governance sub-team.
  6. Collaboration: Emphasizing the importance of shorter feedback loops, tight collaboration, and a clear product roadmap in achieving success.
  7. Large Language Models: Discussing the introduction of Large Language Models (LLMs) internally, with a focus on smaller features that garnered more adoption.
  8. Stakeholder Management: Addressing the challenges of managing stakeholders and effectively communicating the scope and impact of AI projects within the organization.

Overall, the conversation provides insights into building intelligent digital products with a strong focus on data governance, collaboration, and the evolving role of AI in the digital product landscape.
Episode References:

Connect with Joe here:

Useful? Let us know with a ⭐️ ⭐️⭐️⭐️⭐️ rating

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🎙️ The AI-First Business Podcast 🤖 We take you behind the scenes with the leaders and teams writing the playbook on transitioning to an AI-First world

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8 episodi

Artwork
iconCondividi
 
Manage episode 379529963 series 3515340
Contenuto fornito da Tina Yazdi. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tina Yazdi o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Joseph Reeve from Amplitude Analytics' AI R&D team explores the world of building intelligent digital products using AI and ML. In our conversation we cover:

  1. Data Governance: Discussion on the importance of data governance, including proactive and reactive strategies. Proactive governance involves planning data collection, while reactive governance focuses on fixing data issues after they occur.
  2. Interdisciplinary Collaboration: Highlighting the interdisciplinary nature of AI projects and the significance of collaboration among different roles to achieve success.
  3. AI in Digital Products: Delving into the role of AI in the future of digital products, emphasizing integration into every feature for personalized experiences.
  4. Key Takeaways: Exploring lessons learned from their journey, such as the importance of trust in data, robust data governance, and rapid iteration.
  5. Team Structure: Describing the team at Amplitude, consisting of product engineers and machine learning scientists, and their unconventional formation from a data governance sub-team.
  6. Collaboration: Emphasizing the importance of shorter feedback loops, tight collaboration, and a clear product roadmap in achieving success.
  7. Large Language Models: Discussing the introduction of Large Language Models (LLMs) internally, with a focus on smaller features that garnered more adoption.
  8. Stakeholder Management: Addressing the challenges of managing stakeholders and effectively communicating the scope and impact of AI projects within the organization.

Overall, the conversation provides insights into building intelligent digital products with a strong focus on data governance, collaboration, and the evolving role of AI in the digital product landscape.
Episode References:

Connect with Joe here:

Useful? Let us know with a ⭐️ ⭐️⭐️⭐️⭐️ rating

📺 Watch on Youtube

🔥 Subscribe

📲 Socials
🎙️ The AI-First Business Podcast 🤖 We take you behind the scenes with the leaders and teams writing the playbook on transitioning to an AI-First world

  continue reading

8 episodi

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