Big data is now an active frontier for innovation. The analysis of large data sets is increasingly important in business, medicine, finance, government, and beyond. As this new resource for growth and understanding in our world explodes, experts at the forefront of big data frequently share their insights at the world’s leading big-data conferences. These meetings, rich with information about new tools, methods, and best practices in big data, are your best resource for discovering how to make the most of data analysis and insight. Check out these big-data conferences that every budding data scientist should know about and try to attend:
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- London, England: October 27-28, 2015; Berlin, Germany: November 3-4, 2015; San Francisco, California: 2016
- The eMetrics conference brings big data to marketing. This conference is useful for organizations in development mode as well as early adopters, with featured tracks for mobile, social, tech, web, strategy, management, and executives interested in the application of big data. Keynote speakers include Adobe customer analytics evangelist Brent Dykes, Intel’s Global Digital Analytics Manager Chuck Hemann, and Anupam Mishra, Senior Director of Digital Analytics and Optimization at CVSHealth.
IEEE Big Data 2015
- Santa Clara, California: October 29 – November 1, 2015
- Hosted by the IEEE Computer Society, the International Congress on Big Data provides an international forum about the ongoing technology and business revolution in which big data is playing a major part. The conference has tracks on research and work in progress, along with industry and applications. Big Data 2015 also explores scalable cloud data management, as well as big data in the humanities, social science and geoscience applications, big data for sustainable development, and more. Attendees who can’t make it to California can participate in satellite sessions offered worldwide.
Big Data Innovation Summit
- Las Vegas, Nevada: January 28-29, 2016
- The Big Data Innovation Summit’s 2016 conference will explore topics and themes about getting real-world results from big-data applications. This conference aims to help companies gain an advantage over competitors and achieve business success. A few of the main areas to be discussed are driving customer satisfaction and business decisions with analytics, confronting the Hadoop security gap, and enabling big data through innovative privacy. Other topics include emerging algorithms, machine learning, data security, and more.
- New York, New York: March 28-31, 2016
- An O’Reilly/Cloudera conference, Strata attracts big data’s leading strategists and practitioners. This conference is focused on big data in business, finance, media, and government. Attendees can learn how to build a data-driven business with information shared by speakers, information sessions, an expo, and networking events. Strata offers guidance for real business applications, as well as career and education opportunities for data professionals. Session topics will include Apache Spark and Beyond, The Internet Of Things and Real-Time, Hadoop Use Cases, and tracks on Visualization And User Experience and Law, Ethics, and Governance.
Predictive Analytics World for Business
- San Francisco, California: April 3-6, 2016
- Predictive Analytics World focuses on real-life case studies of predictive analytics, straight from the horse’s mouth. Find out how Fortune 500 businesses and other top analytics practitioners deploy predictive modeling, and how they benefit. The agenda will cover high-value topics and advanced analytics techniques for advertising, project management, health care applications, loss prediction, food safety, sales forecasting, and survival analysis.
- Hilton New York Midtown in New York, New York: May 10-11, 2016 (pre-conference workshops Monday, May 9)
- Designed for businesses aiming to become data-driven, the Data Summit explores big-data management and strategic applications. Attendees will learn about big-data technologies including Hadoop and NoSQL, as well as how to solve business problems and drive innovation through analytics. The Data Summit also features a Data Solutions Showcase marketplace featuring products and service solutions related to big data.
2016 ACM SIGMOD/PODS
- San Francisco, California: June 26 – July 1, 2016
- ACM SIGMOD/PODS is a leading international gathering for database researchers and practitioners, developers and users. Attendees will be able to explore the latest ideas and exchange new techniques and experiences. The 2016 conference agenda is still under development, but the 2015 program covered presentations on big data with big implications for business. Topics included database integration in data science, the need for hardware improvements to support the evolution of data analytics, and current research on semistructured data, data streams, and uncertain data.
- San Francisco, California: August 13-17, 2016
- Another conference sponsored by the Association for Computing Machinery (ACM), KDD is a leading interdisciplinary conference for professionals dealing with data science, data mining, knowledge discovery, large-scale data analytics, and big data. Among the attractions are presentations of refereed papers, as well as panel discussions and invited talks by leading academic and industrial experts. Past highlights have included a data scientist’s guide to monetizing start-ups, a look at multi-task learning algorithms, and a data-driven investigation of how networks grow.