IBM Big Data in a Minute: Securing and Protecting Data

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Data breaches are even scarier today as the risk level increases with more data and devices. We all are acquainted with a Twitter, Facebook or email hack, but how much more critical would these hacks be if the data breach revolved around our personally identifiable data or financial data? Jason Keenaghan, senior project manager at IBM, declares “what it involves is actually needing to have an intelligent framework that’s able to keep track of [and] capture the events that are going on in the environment within your network.”

Analytics: How Big Data Can Solve our Most Complex Problems

Data rates are growing some 40% each year, and the sheer amount of data has outstripped common analytics and staffing levels — creating a serious data analysis gap. To move forward, organizations must transform big data into smart data, which means being able to analyze data on a massive scale and quickly use it to provide deeper insights, create new products, and differentiate services. New data science is built on velocity (fast moving data), variety (different kinds of data), and volume (large amounts of data). This panel will explore what kinds of approaches and analytic tools are now being used and to what end. It will also examine the opportunities, risks, and likely developments the near future holds as analysis helps us transform the commodities of big data into valuable smart data.
Drake Baer
Robert Schukai
Don Tapscott
Guruduth Banavar
Bill Thoet, Moderator

Big Data Lesson By Tim Smith

There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades – stimulating globalization of the internet along the way, whilst ‘solving’ their big data problem. Tim Smith plots CERN’s involvement with big data from fifty years ago to today.

Lesson by Tim Smith, animation by TED-Ed.

View full lesson: http://ed.ted.com/lessons/exploration-on-the-big-data-frontier-tim-smith

Susan Etlinger: What Do We Do With All This Big Data?

Does a set of data make you feel more comfortable? More successful? Then your interpretation of it is likely wrong. In a surprisingly moving talk, Susan Etlinger explains why, as we receive more and more data, we need to deepen our critical thinking skills. Because it’s hard to move beyond counting things to really understanding them.

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Big Data, Small World: Kirk Borne at TEDxGeorgeMasonU

Talk given at TEDxGeorgeMasonU, April 6th 2013.
Read full bios and event information at www.TEDxGeorgeMasonU.com

Dr. Kirk Borne is a Multidisciplinary Data Scientist and an Astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences (SPACS). He received his B.S. degree in physics from LSU and his Ph.D. in astronomy from Caltech. After 20 years working in NASA, he changed course and became a data scientist in the then new field of ‘Data Mining’. His TEDx talk covers some of the basic ideas behind data mining, and how it influences us every day. If you are a Twitter user, you can follow him there as he actively tweets about Big Data, Data Science, and Astronomy under the handle @KirkDBorne.

TEDxGeorgeMasonU
Curator: Joe Renaud (@JoePRenaud).
Filming: GMU TV and Adam Scott.
Production Manager: Jessica Teaford (@jessicateaford).
TEDxGeorgeMasonU Team: Andrew Hawkins, Kathleen Wills, AZ Zeller, Brittny Steward, and Myurajan Rubaharan.
Major Sponsors: GMU Office of Student Scholarship, and GMU Office of the Provost.

About TEDx:
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

Deep Learning: Intelligence from Big Data

Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm – 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA

A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.

Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.

Moderator
Steve Jurvetson, Partner, DFJ Ventures

Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain

Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI

** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl