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Episode 16: Francois Lopitaux, Chief Product Officer @ Odaseva

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Manage episode 386381533 series 3476455
Inhalt bereitgestellt von Aquiva Labs - Salesforce Summit Partner. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Aquiva Labs - Salesforce Summit Partner 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.

What are the challenges and considerations in monetizing AI features within Salesforce applications? How can companies balance the cost implications of AI with the need to provide substantial added value to their customers? What are the key factors to consider when integrating Gen AI into Salesforce applications?

In this podcast episode, Jakub Stefaniak interviews Francois Lopitaux, the Chief Product Officer at Odaseva. A significant part of the conversation revolves around the role of generative AI in the Salesforce ecosystem. Francois emphasizes the importance of integrating Gen AI not merely for its innovation but for its relevance to the company's mission and customer expectations. He likens the transformative impact of Gen AI to the introduction of the iPhone, stressing the need for thoughtful adoption considering data privacy and usage.

The discussion then moves to the monetization of AI features, underscoring the costs involved and the necessity for AI applications to provide substantial added value. Francois advises starting with basic AI models and progressively enhancing them, rather than aiming for perfection initially.

Furthermore, this episode covers challenges in keeping up-to-date with AI advancements, and the importance of security and compliance in AI applications.

Overall, the episode provides a comprehensive view of the evolving use of AI in the Salesforce ecosystem, highlighting practical applications, ethical considerations, and the necessity of aligning AI with both business objectives and customer needs.

  continue reading

19 Episoden

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iconTeilen
 
Manage episode 386381533 series 3476455
Inhalt bereitgestellt von Aquiva Labs - Salesforce Summit Partner. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Aquiva Labs - Salesforce Summit Partner 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.

What are the challenges and considerations in monetizing AI features within Salesforce applications? How can companies balance the cost implications of AI with the need to provide substantial added value to their customers? What are the key factors to consider when integrating Gen AI into Salesforce applications?

In this podcast episode, Jakub Stefaniak interviews Francois Lopitaux, the Chief Product Officer at Odaseva. A significant part of the conversation revolves around the role of generative AI in the Salesforce ecosystem. Francois emphasizes the importance of integrating Gen AI not merely for its innovation but for its relevance to the company's mission and customer expectations. He likens the transformative impact of Gen AI to the introduction of the iPhone, stressing the need for thoughtful adoption considering data privacy and usage.

The discussion then moves to the monetization of AI features, underscoring the costs involved and the necessity for AI applications to provide substantial added value. Francois advises starting with basic AI models and progressively enhancing them, rather than aiming for perfection initially.

Furthermore, this episode covers challenges in keeping up-to-date with AI advancements, and the importance of security and compliance in AI applications.

Overall, the episode provides a comprehensive view of the evolving use of AI in the Salesforce ecosystem, highlighting practical applications, ethical considerations, and the necessity of aligning AI with both business objectives and customer needs.

  continue reading

19 Episoden

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