Key aspects to consider Key solution requirements Flexibility to add new analytical capabilities desired e.g. face recognition, video analytics, etc. Flexibility to add new types of data sources relevant for investigations or operations (e.g., cryptocurrency wallets, biometric data, etc.) Flexibility to add new machine learning models customized to a specific organization Open design enabling integration to third party analytical engines Codeless data modeling enabling the addition of new data sources, or new entities from an existing data source – easily and without the need for programmers Customizable machine learning infrastructure enabling a customers’ data scientists to use or expand the platform’s machine learning models or build their own models based on their organization’s unique data sources and challenges. A Practical Guide to Adopting a Digital Intelligence Solution 12