By Kamille Nixon, Product Team | August 17, 2015
As we put the finishing touches on the GraphConnect San Francisco agenda, I’ve noticed a heart-warming trend I’d like to share with you.
Several of the speakers scheduled for the conference on October 21st will describe how they use graph database technology to make the world a better place. Each of them has used graph databases to start solving important (and previously intractable) problems as wide ranging as transparency in the global food supply chain and catching international fraudsters.
This trend has even surfaced at non-Neo4j events as well.
For example, in his keynote address at this summer’s Big Data Day L.A., Los Angeles’ Chief Data Officer Abhi Nemani made the point that, “Our work is about people, not data. We use data to help people.”
At Neo Technology, our mission is simply to help the world make sense of data, and most of us joined the Neo4j endeavor because we’d like to make a positive difference on the planet. Now, with so many different organizations using graph databases for greater global good, it’s encouraging to see the difference we’ve been anticipating for years.
At this year’s GraphConnect San Francisco, there are at least four (and maybe more!) talks that cover how organizations use graph databases to do good in the world. Here they are:
- Developing the world’s economies – presented by the World Economic Forum
- Catching global fraudsters – presented by Hamish Boland-Rudder of the International Consortium of Investigative Journalists (ICIJ)
- Helping feed the planet’s growing population – presented by Tim Williamson of Monsanto
- Increasing transparency in the global food supply chain – presented by TraceOne
About the Author
Kamille Nixon, Product Team
Kamille Nixon provides marketing savvy and thought leadership about the positive impact of good technology design on business goals. Prior to this, Kamille identified through original research the trend that data governance would become a major market force in systems architecture and data modeling. She guided a leading database tools company to successfully tailor its offering for data governance before the rest of the market recognized the trend.
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