The Future of Decision Intelligence To fully unlock the potential of decision intelligence, law enforcement must navigate new trends such as quantum computing, Responsible AI and real-time analytics. Quantum Computing The sheer volume of data generated today - structured and unstructured - continues to grow exponentially. From surveillance footage to social media activity, law enforcement must integrate these diverse datasets into a cohesive view to uncover actionable insights. As datasets grow larger and more complex, traditional computing struggles to keep up. Quantum computing offers a breakthrough in processing encrypted data and analyzing massive volumes of information quickly, making it a critical enabler for decision intelligence platforms in the future. Responsible AI With the growing adoption of AI technologies, demands for law enforcement agencies to work according to Responsible AI practices are increasing. Responsible AI aims to ensure fairness and privacy, as well as accountability when bias and inaccuracies are identified. To maintain trust and legal validity, decision intelligence solutions must transparently demonstrate how raw data is transformed into insights – therefore features such as model explainability, auditing and data lineage are becoming critical components. Without this, decision intelligence solutions risk losing credibility and their ability to drive effective outcomes. Real-time Analytics Real-time analytics has emerged as a key need, enabling law enforcement agencies to process and act on incoming data rapidly and thus respond to threats and evolving situations with unprecedented speed and precision. As decision intelligence platforms evolve, real- time analytics will play a pivotal role in ensuring that insights are not only actionable but also delivered when they matter most. 7 1 Introduction 6 About NEXYTE 2 Law Enforcement Investigation Process 4 Accelerating Investigations with Decision Intelligence 5 What’s Next in Decision Intelligence 3 Decision Intelligence for LEAs