The FDA is accelerating its digital transformation by deploying an AI research tool, developed by the agency’s Center for Drug Evaluation and Research (CDER), across all centers by summer. Key takeaways from this initiative include the standardization of performance metrics, improved data analysis capabilities, and holistic coordination across departments. By enabling faster and more informed decision-making, the FDA is showcasing a strategic application of custom AI models in public sector operations.
For businesses in marketing and martech, this move provides a valuable blueprint. Just as the FDA enhances consistency and efficiency through AI, organizations can deploy custom Machine Learning models to integrate fragmented data, optimize customer interactions, and boost campaign performance. Holistic data analysis powered by AI consultancy can help uncover deeper insights into customer behavior and satisfaction, which are vital in today’s highly dynamic and personalized marketing environments.
An enterprise-level use-case could involve building a custom AI model via an AI agency to analyze and predict customer churn based on historical CRM data, inquiry logs, and product usage patterns. By centralizing these insights on a single platform—similar to the FDA’s tool—companies can proactively tailor marketing strategies and significantly increase customer satisfaction and retention. This demonstrates how AI experts can bring public sector innovation into the B2B or B2C domains for tremendous business value.