Earlier today, Google published a case study documenting our work developing and scaling a Generative AI framework for business.

Google Gemini Case Study

The case study highlights the following value proposition:

  • Built private, secure generative AI framework with Gemini and Cortex Framework in just a few weeks.
  • Reduced time spent on routine tasks by 70% with homegrown Gemini-enabled tool and Cortex Framework for data grounding.
  • $2.3M saved with AI-generated efficiencies in first year.
  • Real-time data with Google Cloud analytics and AI improves insights for continuous compliance.
  • 50K pages translated in six months with Translation Hub for an estimated cost savings of $500K.

The content for the article was produced several months ago, therefore we have continued to see positive adoption and value, achieving 65,623 hours (2,734 days) saved, resulting in an estimated ROI $3,145,104.

Google Gemini Case Study

If you want to learn more, I have documented our journey over a series of blog posts.

Congratulations to the team for the public recognition!

enterprise architecture ea enterprise_architecture artificial_intelligence ai machine_learning ml generative_ai large_language_model llm natural_language_processing nlp transformer data prompt_engineering google gemini gemini_pro gemini_at_work imagen imagen_3 bard lifeinwork