18 Data Fusion and Analytics for Chief Investigators, 2022 Survey Report The Most Important Capabilities Currently Missing in Investigation Workflow To get the other side of the conversation, we asked respondents what is missing in the investigation workflow. 73% of respondents reported missing important capabilities. The top important capabilities currently missing in the investigation workflow are independently tailoring analytics to your needs (40%), using AI/ML to predict potential threats (35%), and extracting identifiers from unstructured data (23%). These are closely tied to the capabilities of AI/ML, customizing analytics to contextual needs, and accessing predictive capabilities. This is the area the government sector is moving towards, so it's no surprise to see these as desired capabilities. These answers suggest that while a large percentage are using data science, AI and machine learning, their current capabilities are still insufficient for advanced use cases. Figure 12: The Most Important Capabilities Currently Missing in Investigation Workflow *Question allowed more than one answer and as a result, percentages will add up to more than 100% 40% 35% 25% 23% 23% 19% 18% 18% 27% Independently tailoring analytics to your needs Using AI/ML to predict potential threats Extracting identifiers from unstructured data Running queries on data from multiple sources Independently connecting new data sources Assessing the risk level for entities and events Mapping relationships between entities Identifying suspicious patterns and anomalies Do not need more capabilities AI/ML analytics