Graph-Powered Machine Learning and Chatbots with Neo4j and Amazon Alexa (Dubai)
Details
Graph-Powered Machine Learning
Alessandro Negro, Chief Scientist at GraphAware
Graph-based machine learning is becoming an important trend in Artificial Intelligence, transcending a lot of other techniques. Using graphs as basic representation of data for ML purposes has several advantages: (i) the data is already modeled for further analysis, explicitly representing connections and relationships between things and concepts; (ii) graphs can easily combine multiple sources into a single graph representation and learn over them, creating Knowledge Graphs; (iii) improving computation performances and quality. The talk will discuss these advantages and present applications in the context of recommendation engines and natural language processing.
Dr. Alessandro Negro (https://twitter.com/alessandronegro?lang=en) is Chief Scientist at GraphAware. He has been a long-time member of the graph community and is the main author of the first-ever recommendation engine based on Neo4j. At GraphAware, he specializes in recommendation engines, graph-aided search, and NLP.
Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa
Christophe Willemsen, Principal Consultant at GraphAware
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 for Amazon Alexa.
Christophe Willemsen (https://twitter.com/ikwattro) is a Principal Consultant at GraphAware. He is a Neo4j expert and has been involved in many projects for recommendation engines and relevant search. He is now leading the development of the GraphAware Knowledge Platform, a graph-based cognitive solution for Enterprises.
Agenda:
6:00 - 6:30 pm - Guests arrival
6:30 - 7:15 pm - Graph-Powered Machine Learning
7:15 - 7:30 pm - Coffe Break
7:30 - 8:15 pm - Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa
8:15 - 9:00 pm - Networking
For any futher requests or support contact the event organiser Jitka Svedova on tel. +971 54 443 7334.