What is the current stage of your AI/ML project? Which of the following describes how your company works with generative AI models? No model deployed to production 25% 4% Evaluating use cases No plans to work with generative AI models One or more models deployed 38% 26% Generative AI models Developing the first in production model/application 22% 25% One model/ Plan on working with application deployed generative AI models to production 27% 33% Multiple models/ Experimented with applications deployed generative AI models to production The Evolution of AI Adoption 22% of organizations have one businesses can adapt to evolving Many organizations are increasingly Application and model develop- Technical organizations are model in production with 27% requirements while mitigating risks dedicating time to evaluating use ment follows use case selection. ahead of the curve with genera- of total respondents reporting associated with relying on a single cases to ensure alignment with Deploying generative AI in an tive AI adoption. Software and multiple models in production. model. The growing number of business objectives. Thorough use enterprise setting involves a internet companies are leading the Deploying multiple generative AI models in production reflects the case evaluation allows companies multi-step process, including data pack with 48% of organizations models in production allows orga- progression of proof-of-concepts to to identify applications with high preparation and pre-processing, reporting generative AI models in nizations to leverage specialized production deployments. ROI potential, assess feasibility and model selection and architecture production. Conversely, only 24% capabilities, avoid vendor lock-in, risk, and prioritize implementation design, hyperparameter tuning of government and defense entities and scale multiple use-cases. By 49% of organizations are still either efforts. and training, API development for have generative AI models in pro- comparing performance across evaluating use cases or develop- integration, monitoring feedback, duction. models and maintaining flexibility, ing the first model or application. and test and evaluation. 14 15