Over 10,000 physical typewritten documents from 1932 to 1941 had to be digitised, structured, and connected in order to create a single, centralised source of knowledge, for enabling the analysis of historical processes.
The emergence or disappearance of patterns in your data can be a mission-critical moment. That's why Hume provides continuous monitoring of patterns of interest, ensuring that stakeholders never miss an important update.
This video will showcase how effortless it is to use the Alerting feature in Hume and receive instant notifications of any changes in your data. When conducting an investigation, it is likely that you will want to keep track of specific interactions made by a person of interest, such as their communication and calls, or their presence in a specific location.
The Hume graph analytics solution's Alerting feature will ensure that you are kept abreast of customisable patterns. This can all be done without the need for coding, thanks to the Advanced Expand feature.
Read more about the benefits of automated Alerting and stay on top of emerging trends and patterns of intelligence analysis.
*The data used in the video are entirely fictitious.
Traversing a graph database has never been easier than with Hume! With just a few clicks, you can effortlessly navigate through your knowledge graph, no GQL Cypher writing required. Hume makes graph database traversal simple and effective.
This video will demonstrate how Hume's Advanced Expand feature makes it straightforward to explore data and uncover insights without requiring any coding knowledge. Even those without experience in Neo4j's graph query language, Cypher, can benefit from Hume's low technical requirements.
Advanced Expand is a useful feature of Hume, a no-code query builder that allows analysts to easily access and connect pertinent data. For example, the video demonstrates how it can be used to swiftly connect witness statements in a murder investigation, thereby aiding in the identification of a primary suspect.
*The data used in the video are entirely fictitious.
Run complex intelligence analysis with ease using Hume Actions - customised queries that offer the full power of Neo4j's Cypher query language. With a single click, unlock answers to investigative questions and unlock the power of your data.
In this video, we will explore how Hume Actions can help you answer these questions and more. With Hume Actions, you can quickly and easily query your data to gain insights into a person of interest's connections, affiliations, and activities. This feature allows you to quickly pull up profiles and data associated with a particular person, allowing you to gain a better understanding of the person's criminal background and potential connections. Hume Actions also helps you to keep track of your investigations and can even alert you when new information becomes available. With Hume Actions, you can quickly gain a better understanding of criminal activity and get closer to solving your case.
The Actions feature in Hume makes it easier for analysts to answer important questions quickly. Learn more about the powerful Hume features that enable fast and accurate analysis.
*The data used in the video are entirely fictitious.
With the aim to monitor, prevent, and predict cyber attacks on various systems and infrastructures, the cyber defence company needed a solution to ingest and connect all available data and discover threat patterns.
Graphs can be truly transformational for law enforcement agencies. Learn how a cutting-edge graph solution removes obstacles from the criminal intelligence process and increases its efficiency.
A Fortune 500 Retailer saved $6M using Hume to prevent scams. The soft production was deployed in 3 months, and within 6 months it exceeded the scam detection KPIs by 300%.
Hume is a mission-critical graph analytics solution that allows analysts in financial institutions to easily visualise and monitor complex flows of money and detect patterns of suspicious activities.
Learn more about how to quickly act to disrupt fraudulent behaviour and protect your clients and your business.
Dive deeper into Hume Orchestra, our data-driven orchestration tool, with our CTO, Christophe Willemsen.
Limbik is an AI-powered system that surfaces potentially impactful mis- and disinformation activities and informs effective response options. Unlike other technologies and consultative services that are purely reactionary, Limbik utilizes proprietary predictive analytics to enable customers to proactively mitigate the scale and speed of today's information threats.
Graphs are commonplace in investigative, intelligence, and law enforcement work. One of the primary advantages of a graph is to connect data from various data sources, digital and human, and maximize insights across deep and complex networks of connections, bringing them together in fusion centers for a centralized view of suspicious activities. For analysts, data quality and trust is key. The reliability, validity, and general consistency of data sources that contribute to forming real world fused entities is a factor that influences the analysts’ interpretation of events. This session talks about the challenges related to surfacing these aspects of data provenance and various approaches that can be employed to address them using Neo4j. We will touch on graph modeling, implications for data security, and how sources and information ratings can be effectively shared with analysts who need access to them.
