Resources - videos - page 5

Videos, Slides, Case Studies and other GraphAware related resources

Christophe on stage with Amazon Alexa

Voice-Driven Interfaces with Neo4j and Amazon Alexa

09 May 2018 videos Neo4j

The age of touch could soon come to an end. From smartphones and smartwatches to home devices and in-car systems, touch is no longer the primary user interface. In this talk, Christophe will guide you through the design of Voice-Driven UIs and show why Neo4j, the world’s leading graph database, is a suitable engine for storing and computing context-aware intents in order to improve the user experience.

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.

Graph-Powered Machine Learning

28 Mar 2018 videos ML

Graph-based machine learning is a trend in Artificial Intelligence that is gaining popularity due to its many advantages. When using graphs as a basic representation of data for ML purposes, you can benefit from the data being explicitly modeled for further analysis, representing connections and relationships between things and concepts. Additionally, graphs can easily combine multiple sources into a single graph representation and learn from them, creating powerful knowledge graphs. These benefits can lead to improved computation performance and higher quality results. During this talk, you’ll learn about the many benefits of using graph-based machine learning and how it can be applied in the context of recommendation engines and natural language processing. Don’t miss out on this opportunity to learn more about this exciting trend and how it can help you unlock the full potential of your data.

Neo4j Online Meetup #30: Spring Data Neo4j 5 and OGM3

19 Nov 2017 videos

SDN is a Spring Data project for Neo4j. It uses Neo4j-OGM under the hood (very much like Spring Data JPA uses JPA) and provides functionality known from the Spring Data world like repositories, derived finders or auditing. Neo4j recently released Spring Data 2.0 (Kay) / Spring Data Neo4j 5.0 and in this session we’ll show some of the new cool features. This release contains support for dynamic properties, schema based loading, field access only, and more.

Knowledge Graph Search with Elasticsearch — Luanne Misquitta and Alessandro Negro, GraphAware

16 Nov 2017 videos

In this talk, Luanne will share insights about the business value of knowledge graphs and their contribution to relevant search in an e-commerce domain for a Neo4j customer. With text search and catalog navigation being the entry point of users to the system and in fact, driving revenue, the talk will explain the challenges of relevant search and how graph models address them. Dr. Alessandro will then talk about various techniques used for information extraction and graph modelling. He will also demonstrate how to seamlessly introduce knowledge graphs into an existing infrastructure and integrate with other tools such as ElasticSearch, Kafka, Apache Spark, OpenNLP and Stanford NLP.