Analytics Section of INFORMS NewsStanford team wins Syngenta Crop Challenge
Syngenta and the Analytics Society of INFORMS named Xiaocheng Li, Huaiyang Zhong and associate professors David Lobell and Stefano Ermon – a team from Stanford University – as the winners of the inaugural Syngenta Crop Challenge in Analytics. The team was awarded a $5,000 prize for their entry, “Hierarchy modeling of soybean variety yield and decision making for future planting plan,” which modeled a system for predicting soybean seed variety selection.Read More
Analytics Section of INFORMS NewsInnovative Applications in Analytics Award
The Innovative Applications in Analytics Award (IAAA), which recognizes creative and unique developments, applications or combinations of analytical techniques used in practice, has garnered significant interest in its brief life. The IAAA for 2016 was awarded to an MIT-led team for its submission entitled, “An Analytics Approach to the Clock Drawing Test for Cognitive Impairment,” during the recent INFORMS Conference on Analytics & Operations Research in Orlando. Fla.Read More
Analytics Section of INFORMS NewsWelcome to the Analytics Society!
The Analytics Section has become INFORMS’ newest society, and we are now the Analytics Society of INFORMS. Achieving society status recognizes our significantly increased membership base and our vastly expanded scope of activities, all of which were on display at the 2016 INFORMS Conference on Business Analytics & Operations Research in Orlando, Fla. We are still the fastest growing subdivision of the Institute!Read More
IDC forecasts big growth for Big Data
International Data Corporation (IDC) recently released a worldwide Big Data technology and services forecast showing the market is expected to grow from $3.2 billion in 2010 to $16.9 billion in 2015. This represents a compound annual growth rate (CAGR) of 40 percent or about seven times that of the overall information and communications technology (ICT) market.
“The Big Data market is expanding rapidly as large IT companies and startups vie for customers and market share,” says Dan Vesset, program vice president, Business Analytics Solutions at IDC. “For technology buyers, opportunities exist to use Big Data technology to improve operational efficiency and to drive innovation. Use cases are already present across industries and geographic regions.
“There are also Big Data opportunities for both large IT vendors and start-ups,” Vesset continues. “Major IT vendors are offering both database solutions and configurations supporting Big Data by evolving their own products as well as by acquisition. At the same time, more than half a billion dollars in venture capital has been invested in new Big Data technology.”
Additional findings from IDC's study include the following:
• While the five-year CAGR for the worldwide market is expected to be nearly 40 percent, the growth of individual segments varies from 27.3 percent for servers and 34.2 percent for software to 61.4 percent for storage.
• The growth in appliances, cloud and outsourcing deals for Big Data technology will likely mean that over time end-users will pay increasingly less attention to technology capabilities and will focus instead on the business value arguments. System performance, availability, security and manageability will all matter greatly. However, how they are achieved will be less of a point for differentiation among vendors.
• Today there is a shortage of trained Big Data technology experts, in addition to a shortage of analytics experts. This labor supply constraint will act as an inhibitor of adoption and use of Big Data technologies, and it will also encourage vendors to deliver Big Data technologies as cloud-based solutions.
The study, Worldwide Big Data Technology and Services 2012-2015 Forecast (IDC #233485) examines the Big Data technology and services market for 2010–2015. IDC defines Big Data technologies as a new generation of technologies and architectures designed to extract value economically from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis. Further, the study segments the Big Data market into server, storage, networking, software and services segments.