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Oracle's Greg Pavlik Reveals AI Strategies for Enterprise Success | Cloud Wars Live

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Manage episode 440907228 series 2536260
Contenu fourni par Bob Evans. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Bob Evans 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.

Efficient AI Model Economics

The Big Themes:

  • GenAI and its practical application: GenAI has emerged as a major focus in enterprise settings, with organizations exploring its potential to enhance core business processes. While many have successfully integrated generative AI into their workflows, others face challenges moving beyond continuous prototyping to actual production deployment. Key to overcoming these hurdles is understanding the limitations and capabilities of AI models.
  • Economic advantages of smaller AI models: Smaller AI models, such as the 35 billion parameter models from Cohere, represent a significant economic shift in the AI landscape. These models, which can be run on a single GPU, offer a more cost-effective alternative to larger models, reducing the financial burden associated with AI deployment. These mid-sized models are not only cheaper but also capable of covering the majority of use cases effectively.
  • AI integration into Oracle's software-as-a-service (SaaS) portfolio: Oracle has integrated generative AI into its software-as-a-service (SaaS) portfolio, enhancing various business functions without additional charges. This integration includes features like automated job postings and Salesforce optimization. Greg notes that this approach adds significant value to Oracle's offerings.

The Big Quote: “People try to chase the latest and be on the frontier but never really commit to making something work for production."

  continue reading

441 episodes

Artwork
iconPartager
 
Manage episode 440907228 series 2536260
Contenu fourni par Bob Evans. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Bob Evans 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.

Efficient AI Model Economics

The Big Themes:

  • GenAI and its practical application: GenAI has emerged as a major focus in enterprise settings, with organizations exploring its potential to enhance core business processes. While many have successfully integrated generative AI into their workflows, others face challenges moving beyond continuous prototyping to actual production deployment. Key to overcoming these hurdles is understanding the limitations and capabilities of AI models.
  • Economic advantages of smaller AI models: Smaller AI models, such as the 35 billion parameter models from Cohere, represent a significant economic shift in the AI landscape. These models, which can be run on a single GPU, offer a more cost-effective alternative to larger models, reducing the financial burden associated with AI deployment. These mid-sized models are not only cheaper but also capable of covering the majority of use cases effectively.
  • AI integration into Oracle's software-as-a-service (SaaS) portfolio: Oracle has integrated generative AI into its software-as-a-service (SaaS) portfolio, enhancing various business functions without additional charges. This integration includes features like automated job postings and Salesforce optimization. Greg notes that this approach adds significant value to Oracle's offerings.

The Big Quote: “People try to chase the latest and be on the frontier but never really commit to making something work for production."

  continue reading

441 episodes

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