U.S. Department of Justice (DOJ) and U.S. Department of Homeland Security (DHS) agencies are adopting AI/ML to enhance their mission capabilities, though the degree of adoption varies among teams. Common challenges include:
- Complexities and time needed for iterative cycles to train, test, select and retrain the ML model for optimal prediction accuracy
- Need for collaboration among cross-functional teams to refine workflows, processes and share tools and best practices
- Repeated dependency on IT operations for provisioning and managing infrastructure to support experimentation and scaling
Red Hat discussed how Red Hat OpenShift AI can help data science cross-functional teams speed up the delivery of AI-powered applications and simplify the iterative process of integrating ML models and continued redeployment for prediction accuracy to quickly deliver AI insights to mission apps.
Discover how Red Hat can assist your federal law enforcement agency in overcoming challenges with AI today!