Dr. David Belanger, Senior Research Fellow, Howe School of Technology Management, and Chief Scientist, AT&T Laboratories (retired)
We have been in the realm of Big Data for more than a decade, and have seen a generation of innovations in the form of valuable application types. These applications are increasingly supported by widely available tools, both commercial and open source, as well as an increasing pool of trained data professionals. The net result is that the advantages of Big Data are starting to become accessible to a much wider audience, making a broader array of innovations possible.
We now see new, innovative sources of data and novel types of applications ready to emerge in the Big Data arena. Many of these are concerned with data generated by devices, rather than individuals, and enable applications that are real time, or even predictive. The toolsets are also evolving to satisfy the needs of these applications. These innovations will make the benefits of Big Data accessible to a wider audience, and at the same time make the requirements for governance more demanding.
This presentation will discuss directions in the application of Big Data.
David Belanger firstname.lastname@example.org is currently a Senior Research Fellow at Stevens Institute of Technology. In this role he continues his work in Big Data Technology, Applications, and Governance. He also teaches and helps lead in the Business Intelligence & Analysis Masters Degree program and the Center for Big Data Innovation.
Prior to joining the Howe School, David was Chief Scientist of AT&T Labs, and Vice President: Information, Software, & Systems Research at AT&T Labs. He created the AT&T InfoLab, an early participant in “Big Data” research and practice.
Dave joined Bell Laboratories in 1979. He has led research in software systems and engineering, information mining, information visualization, and development in very large-scale data systems. He built the Software Engineering Research Department which provided software tools and techniques used across AT&T Bell Labs, and via open source, across the world.
Prior to AT&T, Dave was associate professor of Mathematics and Computer Science at University of South Alabama, and co-founder of Gulf Coast Data Systems (a computing services company). He received his B. S. from Union College (NY) in Mathematics, and an M. S. & Ph.D., in Mathematics, from Case Western Reserve University.
In 1998, Dave was awarded the AT&T Science and Technology Medal for contributions in very large-scale information mining technology. In 2006, he was named an AT&T Fellow for “lifetime contributions in software, software tools, and information mining.” In 2009, he was given the IEEE Communications Society Industrial Innovator Award.
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