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

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."


Visit Cloud Wars for more.