Resources - Hume - page 2

Videos, Slides, Case Studies and other GraphAware related resources

Hume Features - Alerting

18 Jan 2023 videos Hume Law Enforcement

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.

REQUEST A DEMO or learn more about Hume.

Hume Features - Advanced Expand

18 Jan 2023 videos Hume Law Enforcement

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.

REQUEST A DEMO or learn more about Hume.

Hume Features - Actions

18 Jan 2023 videos Hume Law Enforcement

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.

REQUEST A DEMO or learn more about Hume.

High Tech Security Firm Limbik Uses GraphAware Hume and Neo4j Graph Database to Create Information Defense System

24 Jun 2022 casestudies Hume

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.

Read the Case Study

Tracking Data Sources of Fused Entities in Law Enforcement Graphs

18 Jun 2022 videos Hume law Enforcement

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.