I wanted to thank the participants of our $100,000 Graph Analytics Challenge. It took our judges much deliberation to choose the winner, because each of the six finalists presented a complex problem and offered a unique, innovative solution. The entries spanned a number of diverse topics, from medical research to social collaboration to sports analytics. I could not be more pleased that graph analytics is drawing such high calibre experts who are so passionate about their work to better society.
As graph analytics gains traction, customers and analysts have asked me how I believe graph analytics can improve existing technologies and address real business concerns. Apart from my opinion, our contest has demonstrated the applicability of graph analytics to high impact use cases. From discovering a cure for autism or preventing crimes to predicting baseball outcomes – all are important issues with significant business and human impact.
The Graph Analytics Challenge has shown that the most complex problems involve discovering the previously unknown. Discovery is challenging because you don’t know in advance what queries you will run, or what data you will need. To quote Ilya Shmulevich from the Institute of Systems Biology: In the amount of time it takes to explore one hypothesis, we can now explore thousands of hypotheses, massively improving our success rate, I think that summarizes the YarcData value proposition in a nutshell.
I’d like to extend my thanks to all our contest participants and especially to our first, second, and third place winners respectively: Ilya Shmulevich, Brady Bernard, and Andrea Eakin, of The Institute for Systems Biology; Adam Lugowski, John Gilbert, and Kevin Dewesse, of the University of California at Santa Barbara; and Abraham Flaxman of the University of Washington Institute for Health Metrics and Evaluation. We look forward to seeing where all your research takes us into the future and how through systematized Discovery you are making the world a better place.