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Alloy.ai에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alloy.ai 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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The Potential & Pitfalls of AI in the Consumer Goods Industry with Lasse Holmstedt

25:46
 
공유
 

Manage episode 417349885 series 3514811
Alloy.ai에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alloy.ai 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

챕터

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)

16 에피소드

Artwork
icon공유
 
Manage episode 417349885 series 3514811
Alloy.ai에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alloy.ai 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

챕터

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)

16 에피소드

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