GraphConnect

We showcase the use of Neo4j as a backend to our AI technology in eBay's virtual shopping assistant: eBay ShopBot. We will discuss how we used Neo4j as a probabilistic graph model to drive conversations. We also touch upon the key learnings for deployment and scalability in Google cloud platform. We will touch upon the following application oriented learnings of using neo4j for a year in production:

1. How we deploy at scale in GCP, how we scaled to 1TB graph data

2. How neo4j can form the backend for a conversational engine like shopbot

3. Discussions and recommendations on the use of procedures against cypher in Neo4j

4. Future plans

We are building our next generation technology intelligence platform onNeo4j graph database. Capturing data from literature, patents, websites and news media, we create acoherent knowledge graph to help connect our scientists and engineers with external collaborators todeliver the most innovative solutions.

Xfinity xFi is Comcast’s personalized Wi-Fi experience that is tailored to cater customers’ individual needs. In this session, Jessica will discuss the innovations she expects to be providing with the Xfinity Profile Graph, and how Neo4j connects and provides context for these features. Jessica will describe how Comcast’s smart home platform will help make customers feel safer and more comfortable, while providing personalized content and services to the entire household.

Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for television, the internet and emerging platforms. Their U.S. lifestyle portfolio comprises popular television and internet brands HGTV, DIY Network, Food Network, Cooking Channel, Travel Channel and Great American Country, which collectively engage more than 190 million consumers each month, and HGTV was among the top 10 cable networks in 2016. 

Managing the asset and instance-level metadata for Scripps' historical media portfolio is critical to their business. It affects everything from broadcast availability to viewing behavior to the ability to syndicate content to non-linear and international broadcast partners. In this session, the speakers will discuss:

• Applying graph technology to federate relevant metadata across multiple digital asset management systems into a cohesive multi-media library
• Leveraging the advantages of graph DB over traditional relational databases
• Facilitating modeling via graph technology of complex, multi-dimensional relationships between multiple domains (shows, seasons, episodes, formats & versions)

Neo4j allows UBS to trace lineage of all metrics for all initiatives across the bank.  What's unique about our solution is the combination of real time response time and agility.  Lineage spans across dozens of levels of entities and dependencies, and resolving these kinds of dependencies using traditional technologies would be impossible to do in real time.  Also, our business analysis are constantly changing requirements.  Neo4j does not rely heavily on predefined schema or indexes, and thus was able to keep pace with the changes.

Learn how UBS was able to meet regulatory requirements for initiatives within a short window and limited resources.

We have all heard about the explosion of data in the last decade and going forward. Financial Analysts are overwhelmed by the deluge of information and struggle to keep on top. Turning that stream of news and research into a knowledge graph allows much more precise targeting and deeper insight. Being able to connect the vast amount of data together in a streamlined and elegant way is where TR and Neo4j have made the biggest difference.

TR plans to demonstrate this end to end process using TR tools and Neo4j database culminating in a demonstration of a real time, personalized portal that integrates disparate TR content streams into Neo4j for display in an application. Neo4j is used as the operational graph data store and to personalize the content displayed to each user based on their profile, preferences, and behavioral history. Thomson Reuters Big Open Linked Data Solution combines cutting edge NLP, the worlds largest financial knowledge graph and a unique data integration environment - Data Fusion. Using Neo4J for graph analysis delivered excellent performance at significant scale.