5 1 Human- Machine Collaboration 2 Responsible AI 3 Video Analytics 4 Social Media Incitement 5 Crypto- currency 6 IoT Devices 7 Drones Time till mainstream adoption: NEAR TERM Technologically advanced solution vendors and law enforcement organizations are beginning to incorporate LLM technology into their systems. For example, LLM technology is being used within Cognyte’s threat intelligence solution to provide a daily intelligence feed to cyber analysts, which is contextualized and personalized to their specific organization and provides actionable insights. LLM-powered ‘co-pilot’ - incorporating LLM-powered capabilities within investigative solutions such as network intelligence and decision intelligence can provide valuable decision augmentation and decision support to users. A ‘co-pilot’ can provide contextual information, generate descriptive, diagnostic and predictive analytical insights and suggest recommended actions and next steps to human users. It will also enable users to obtain results through a natural language interface that understands the intelligence and investigative context, gathers data across all systems and investigations, and recommends next best actions – removing the need for complex queries. Law enforcement organizations deal with sensitive data which is typically stored on-premise. Therefore, they will need solutions that can securely access data in their private networks while also tapping into data from the web and external sources. Technology capabilities needed: + Has your organization mapped where AI technologies could accelerate the work of investigators and analysts? Key questions: 1 Human- Machine Collaboration LEARN MORE ABOUT DECISION INTELLIGENCE