Neo Technology and Monsanto to Co-Present at Strata + Hadoop World 2016 in New York

SAN MATEO, CA--(Marketwired - Sep 21, 2016) - Neo Technology, creator of Neo4j, the world's leading graph database, announced today that its founder and CEO, Emil Eifrem, will speak at Strata + Hadoop World, taking place September 26-29, 2016 in New York City. Eifrem will be joined onstage by Tim Williamson, data scientist at Monsanto Company (NYSE: MON), to discuss how organizations use graph databases to operationalize insights from big data.

Strata + Hadoop World is the largest conference of its kind, a deep-immersion event where data scientists, innovators and executives get up to speed on emerging techniques and technologies.

Session At-A-Glance

What: "Using Graph Databases to Operationalize Insights from Big Data"
Who: Emil Eifrem, founder and CEO of Neo Technology, and Tim Williamson, data scientist at Monsanto
When: Wednesday, September 28 at 11:20 am ET
Where: Javits Center, 655 W 34th Street, New York, NY 10001 in room 3D 12
How: Register at https://conferences.oreilly.com/strata/hadoop-big-data-ny/public/register

Session Description:
Enterprises that pursue data-driven operations and decisions are approaching the conclusion that graph analysis capabilities yield critical competitive advantages. However, for this impact to be fully realized, the results of any graph analysis must be available, in real time, to operational applications, data scientists and developers across the enterprise.

Tim Williamson and Emil Eifrem draw on Monsanto's real-world experience to explain how organizations use graph databases to operationalize insights from big data. Tim and Emil discuss Monsanto's Big Data stack, using examples from Monsanto's substantial experience with graphs, and describe the service-oriented graph architecture that has already handled over one billion requests and is available to over 150 developers, data scientists and applications throughout Monsanto.

About the Speakers
Emil Eifrem is co-founder and CEO of Neo Technology. Committed to sustainable open source, he guides the Neo4j team along a balanced path between free availability and commercial reliability. Before founding Neo4j, Emil was the CTO of Windh AB, where he headed the development of highly complex information architectures for enterprise content management systems.

Tim Williamson is a data scientist at Monsanto, where he leads a full stack data engineering team focused on creating distributed analysis capabilities around complex scientific datasets in genomics, genetics and agronomic performance.

Neo Technology to Host Fifth Annual GraphConnect San Francisco Conference
GraphConnect San Francisco, the only conference that focuses on the rapidly growing world of graph technology, will take place on October 13-14, 2016. GraphConnect SF will bring together graph enthusiasts from around the globe to learn how Global 2000 enterprises and hot startups leverage the power of graphs to solve their most critical connected data issues.

The conference will feature sessions that include technical deep dives for intermediate and advanced developers, business and technical case studies and "getting started" sessions.

For additional information and registration, visit: http://graphconnect.com.

Useful Links

• Neo4j Website
• Top 10 Reasons for Choosing Neo4j
• Twitter
• Graph Databases, published by O'Reilly
• Monsanto Case Study in Forrester Research
• Monsanto's Presentation at GraphConnect 2015

About Neo Technology
Neo Technology is the creator of Neo4j, the world's leading graph database. Neo4j is a highly scalable native graph database that leverages data relationships as first-class entities to help companies build intelligent applications that meet today's evolving connected data challenges including fraud detection, real-time recommendations, master data management, network security and IT operations.

Global enterprises like Walmart, UBS, Cisco, HP, adidas Group and Lufthansa and hot startups like Medium, Musimap and Glowbl rely on Neo4j to harness the connections in their data.