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The Potential & Pitfalls of AI in the Consumer Goods Industry with Lasse Holmstedt

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Manage episode 417349885 series 3514811
Contenu fourni par Alloy.ai. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alloy.ai ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

AI in supply chains isn't just about crunching data—it's about creating bridges between complex info and everyday decision-making.
In this episode, Lasse Holmstedt, VP of Engineering at Alloy.ai, joins us to discuss the dynamic role of generative AI and large language models within the consumer goods sector. Throughout the conversation, we delve not only into the innovative application of AI technologies that encompass forecasting and data harmonization but also highlight the critical importance of maintaining clean and accurate data for AI effectiveness.
Listen in for a deeper understanding of the potential and pitfalls of using pre-trained AI models. Along the way we’ll also explore strategies to safeguard sensitive business data and discover how AI can transform sales and demand planning processes.
Three Key Takeaways:

  • Explore leveraging textual and qualitative data in addition to numerical approaches to enhance decision-making processes while mitigating risk
  • Consider applications of AI for enhanced visibility and predictive capabilities in inventory management, forecasting, and cross-platform product matching for more efficient operations
  • Establish a clear data governance framework to ensure that data fed into AI systems is accurate, up-to-date, and free from errors, laying a solid foundation for reliable AI outputs
  continue reading

Chapitres

1. The Potential & Pitfalls of AI in the Consumer Goods Industry with Lasse Holmstedt (00:00:00)

2. AI in Consumer Goods Industry (00:00:02)

3. Using Large Language Models in Business (00:14:04)

4. AI Strategy for CPG Companies (00:19:03)

15 episodes

Artwork
iconPartager
 
Manage episode 417349885 series 3514811
Contenu fourni par Alloy.ai. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Alloy.ai ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

AI in supply chains isn't just about crunching data—it's about creating bridges between complex info and everyday decision-making.
In this episode, Lasse Holmstedt, VP of Engineering at Alloy.ai, joins us to discuss the dynamic role of generative AI and large language models within the consumer goods sector. Throughout the conversation, we delve not only into the innovative application of AI technologies that encompass forecasting and data harmonization but also highlight the critical importance of maintaining clean and accurate data for AI effectiveness.
Listen in for a deeper understanding of the potential and pitfalls of using pre-trained AI models. Along the way we’ll also explore strategies to safeguard sensitive business data and discover how AI can transform sales and demand planning processes.
Three Key Takeaways:

  • Explore leveraging textual and qualitative data in addition to numerical approaches to enhance decision-making processes while mitigating risk
  • Consider applications of AI for enhanced visibility and predictive capabilities in inventory management, forecasting, and cross-platform product matching for more efficient operations
  • Establish a clear data governance framework to ensure that data fed into AI systems is accurate, up-to-date, and free from errors, laying a solid foundation for reliable AI outputs
  continue reading

Chapitres

1. The Potential & Pitfalls of AI in the Consumer Goods Industry with Lasse Holmstedt (00:00:00)

2. AI in Consumer Goods Industry (00:00:02)

3. Using Large Language Models in Business (00:14:04)

4. AI Strategy for CPG Companies (00:19:03)

15 episodes

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