Resources - chatbots

Videos, Slides, Case Studies and other GraphAware related resources

New Case Study

Hume for Law Enforcement

Harness connected data to safeguard your community

16 Sep 2022 casestudies Hume Law enforcement

Hume provides a single view of intelligence enabling analysts to quickly identify links and patterns of interest in the vast amounts of information they have access to. On a single canvas, analysts quickly find connections between entities, understand geographical and temporal context, and perform advanced network analysis.

Learn more about how Law enforcement agencies are already using Hume to power their intelligence analysis and achieve success.

Download the Leaflet

Knowledge Graphs to Power Financial Chat Bots

28 May 2020 videos KG chatbots search

Mayank Gupta, SVP of Data and Wren Chan, VP of Foundational Architecture and Innovation from LPL Financial present how they use GraphAware Hume and Neo4j to power financial chat bots.

When privacy matters! Chatbots in data-sensitive businesses

05 Nov 2018 slides chatbots security NLP

When privacy matters! A series of challenges for chatbots in data-sensitive businesses such as healthcare and finance by Christophe Willemsen

Meetup: Integration of Chatbots in Healthcare and BFSI, Dubai, 1.11.2018

Knowledge graphs + Chatbots with Neo4j

29 Mar 2018 slides KG chatbots Neo4j

View Christophe’s slides from the GraphTour Meetup that took place March 1, 2018.

Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa

28 Mar 2018 videos KG Neo4j NLP chatbots

Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data. In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.

Knowledge Graphs and Chatbots with Neo4j and IBM Watson

19 Dec 2017 videos KG NLP unstructured data chatbots

In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.

Chatbots and Voice Conversational Interfaces with Amazon Alexa, Neo4j and GraphAware NLP

27 Jun 2017 slides NLP Neo4j chatbots

During this talk, Christophe, Principal Consultant at GraphAware will walk you through the design of building Conversational Bots. To this end, he used Amazon Alexa and combined it with a Natural Language Processing stack backed by a Neo4j Graph Database.
You will discover the basics of an Amazon Alexa skill and how the user experience with voice devices can be enhanced with graph based algorithms such as recommendations.