Knowledge Graph applications in the Legal profession & Fashion industry

Details

We have 2 great speakers for our July meetup - JHok-Him Poon of & George Cushen of Farfetch.

As per usual there will be pizzas & refreshments available courtesy of our sponsors - www.connected-data.london . Doors open at 6.30pm with talks starting at 7pm.

To speed up entrance to the CodeNode please register for the meetup on their website https://skillsmatter.com/meetups/12837-knowledge-graph-applications-in-the-legal-profession-and-fashion-industry?admin_preview=true
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Speaker
Hok-Him Poon, CTO Aspirant Analytics

Title
Transforming legal recruitment with a market knowledge graph

Abstract
Running a law firm can be like running a football club – you pay a high price in order to convince a key player to join your team. It's no easy task. How to find the right person – with the right experience – with the right book of clients? A live knowledge-base of lawyers can answer that where LinkedIn cannot. In this talk we explore how we at Aspirant Analytics used graph technology to build a highly automated knowledge eco-system, and turned a side-project into a legal market insight product. We'll see how being able to explore the legal market in this manner also inspired unexpected ways in which the knowledge graph creates value.

Bio
Hok-Him is the Founder & CTO of Aspirant Analytics, a People Analytics startup based in Shoreditch. With a Computer Science degree from Cambridge University, Hok-Him had a past career of over 10 years as a software developer and tech lead at Bloomberg and Goldman Sachs. A keen rock-climber, nature-lover and geek at heart, he is drawn to challenges, life-hacks and self-improvement. He is a strong believer of social responsibility and the key role that technology plays to achieve it.

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Speaker: George Cushen, Lead Data Scientist @ Farfetch

Title:
Knowledge Graphs and AI to Hyper-Personalise the Fashion Retail Experience at Farfetch

Abstract:
What is the key to the holistic success of the fastest growing and most successful companies of our time globally? Well, often the key is the rapid increase in collected and analysed data. Graph databases provide a way to organise semantically by classes, not tables, are web-aware, and are superior for handling deep, complex relationships than traditional relational or NoSQL data stores. It is these deep, complex relationships that can provide the rich context for hyper-personalising your product offering, inspiring consumers to purchase. In this talk, we describe how we are using artificial intelligence at Farfetch to not only help build a knowledge graph but also to evolve our insights with state-of-the-art graph-based AI.