Acquiring skills you can use in your daily work is no easy feat, and Connected Data skills are no exception. We know earning our badges has been hard, so we are trying to make things easier for you.
When we announced Connected Data London 2019, we wanted our first ever workshops to be a center piece of our offering. Today we are happy to unveil our program and instructors.
We picked some of the most sought after topics, and some of the most knowledgeable people to show how it’s done. We have 2 Lab sessions – the Knowledge Graph Lab, with Panos Alexopoulos and Andrea Volpini, and the Graph Databases Lab, with Mark Needham and Victor Lee. You can mix and match to your heart’s content.
KGLAB1: From Taxonomies and Schemas to Knowledge Graphs with knowledge graph guru Panos Alexopoulos
Our main program features speakers from the likes of Microsoft, Uber, nVidia, Bayer, GSK, and JP Morgan, and combo tickets are on sale!
Need to convince your manager? We got you a kit, start working on it!
Do you have experience in data modeling, or in classification, and want to get the boost needed to upgrade to building knowledge graphs? Then going from taxonomies and schemas to knowledge graphs is what you need.
Panos Alexopoulos, Head of Ontology in Textkernel, a CarrerBuilder company, has been building knowledge graphs for many years. In his session in Connected Data London 2018, Panos shared what to think about when crafting a knowledge graph strategy.
On October 3, between 9:30 am and 12:30 pm, Panos gets hands on, and he’ll help us recognize and tackle the pitfalls of large-scale semantic modeling. His session will go from an intro to knowledge graphs and Semantics, to doing interactive semantics CSI: exploring the issues in public knowledge graphs, so you can learn how to avoid pitfalls when building your own.
Need help getting started with graph databases? You’re in the right place. Learn about graph use cases and Labeled Property Graph modeling. Learn how to write graph queries using Cypher, the query language used by databases like SAP HANA Graph, Redis, AgensGraph and Neo4j. And start using graph algorithms.
Mark Needham is a graph advocate and software engineer for Neo4j, the company behind the Neo4j graph database. He previously worked as a field engineer helping customers embrace graph data and Neo4j building sophisticated solutions to challenging data problems. He blogs about his experiences of being a graphista.
On October 3, between 9:30 am and 12:30 pm, Mark will introduce you to what a graph database is. His session will start with an intro to the graph property model, and you will then learn how to set up your development environment, and get to learn Cypher, the graph query language used by many graph databases. Finally you’ll get an introduction to graph algorithms.
Using graphs can improve machine learning and produce explainable AI. Boost your machine learning arsenal, learn how graph algorithms apply to unsupervised learning, and build machine learning pipelines that integrate graph analytics with conventional machine learning.
Dr. Victor Lee is Director of Product Management at TigerGraph. He brings a strong academic background, decades of industry experience, and a commitment to quality and service. Victor has been focusing on graph data mining and early approaches to graph-related machine learning.
On October 3, between 1:30 pm and 4:30 pm, Victor will address data scientists, application developers, and graph users who want to know practical ways graphs can enhance machine learning & explainable AI. His session will go from a hands-on survey of graph algorithms to techniques for feature extraction & graph embedding, to using an open-source machine learning platform & implementing a full pipeline.
Do you want to learn how to use the low-hanging fruit of knowledge graphs — schema.org and JSON-LD — to annotate content and improve your SEO with semantics and entities? Then going from knowledge graphs to AI-powered SEO will give you superpowers.
Andrea Volpini, CEO of Wordlift, has 20 years of world-class experience in online strategies and web publishing. Andrea has been helping people with semantic content enrichment, artificial intelligence, and search.
On October 3, between 1:30 pm and 4:30 pm, Andrea will share the fundamentals of his trade, and he’ll help us use taxonomies, schemas and knowledge graphs to improve search engine rankings and web publishing workflows. His session will go from the elements of modern SEO and structured linked data to using entities and graphs with JSON-LD.
Tickets for each session sold separately. All tickets, including main event tickets for October the 4th, at 10% discount until the end of July.
You can attend the main event, one or more workshop sessions, or everything – the more you buy, the more discounts you will get!
And if you want to book your accommodation, we have secured special discounted rates at the Hilton Doubletree Tower of London, where the event takes place. Staying at a top notch hotel, being right where the action is, and getting a discount – it does not get much better than this!
We built our workshops based on a set of simple principles, to make sure you get the most out of them:
- Sessions will strike a balance between providing necessary background and being hands-on.
- The tools we will use for the hands-on part are free and/or open source.
- Minimum requirements in terms of equipment or knowledge/skills attendants should have are clearly stated.
- The material used is part of the package and will be made available to attendants.
Our workshops would not be possible without our awesome instructors and workshop sponsors. Kindly sponsored by:
Neo4j – The Fastest Path To Graph Success. Neo4j is the graph database platform powering today’s mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
TigerGraph is the fastest and most scalable graph database analytics platform—