Strata looks at three things: Big, open data; ubiquitous computing and the democratization of IT; and new interfaces that make complex, multidimensional data accessible and usable.
Put those three things together, and you’ve created an entirely new way of thinking. No longer do we learn by rote; we phone a friend. Compelling infographics have taken the place of political discourse. And any device that can send an SMS is tied to the most powerful computers in the world.
How will this change us? Will it make us shallow and distracted, as Nicholas Carr suggests? Will it prepare us for a truly connected society, where antiquated ideas like broadcast marketing and representative democracies give way to one-to-one buying and direct voting?
The change is slow, but inexorable. A few short years ago, we were warned not to put our real names on the Web. Today, every site has a share button, and we freely track our own activities for all to see. Each of those acts leaves a crumb of data; take away our smartphones, and we feel like we’ve had a digital stroke, leaving us without faculties we otherwise take for granted.
It’s maybe an understatement to say that connected access to the sum of all knowledge changes us. It’ll shape how we work and play. It’ll change how we learn. It may even alter who—and what—we love.
In this panel discussion, we’ll look beyond the bytes and algorithms to think about humanity awash in a sea of information.
Alistair has been an entrepreneur, author, and public speaker for nearly 20 years. He’s worked on a variety of topics, from web performance, to big data, to cloud computing, to startups, in that time. In 2001, he co-founded web performance startup Coradiant (acquired by BMC in 2011), and since that time has also launched Rednod, CloudOps, Bitcurrent, Year One Labs, the Bitnorth conference, the International Startup Festival and several other early-stage companies.
Alistair is a chair for Strata + Hadoop World conferences; Techweb’s Cloud Connect; and the International Startup Festival. He’s written four books on analytics, technology, and entrepreneurship, including the best-selling Lean Analytics which is being translated into eight languages. He lives in Montreal, Canada and tries to mitigate chronic ADD by writing about far too many things at Solve For Interesting.
Toby Segaran is the author of the O’Reilly titles, “Programming
Collective Intelligence” and “Programming the Semantic Web” and a
contributing editor of “Beautiful Data” . He frequently speaks on the
subjects of machine learning, collective intelligence and freedom of
data at conferences worldwide.
Toby previous worked as a Senior Data Scientist at Metaweb before it
was acquired by Google in 2010. He now works on large-scale data
reconciliation problems at Google. Prior to Metaweb he founded
Incellico, a biotechnology software company which was acquired in
Toby holds a B.Sc in Computer Science from MIT and is deemed a “Person
of Exceptional Ability” by the USCIS. He loves applying data-analysis
algorithms to everything ranging from pharmaceutical trials to online
dating to financial risk models.
Amber Case is the Director of Esri’s R&D Center, Portland, where she works on open source developer tools and next generation location-based technology. Previously, she was the CEO of and co-founder of Geoloqi, a location-based software company acquired by Esri in 2012. She is an advocate of privacy, data ownership and calm technology. You can follow her on Twitter @caseorganic or at caseorganic.com.
Bradford has been doing applied research since 2001. His interests are in Maths, Statistics, Computer Science, Learning Theory, Network Theory, Information Retrieval, Natural Language Processing, and engineering at scale.
Most recently, Bradford is co-founder and head of research for FlightCaster, where is responsible for the statistical learning and supporting architecture that power Flightcaster’s predictive algorithms.
Prior to Flightcaster, Bradford spent 2 years at ThoughtWorks.
Bradford began his research work in the hedge fund business, where he developed statistical trading strategies and the underlying software infrastructure. During this time he founded a few small trading partnerships and worked with O’Higgins Asset Management. In the process of building trading systems, he collaborated with SmartQuant on a project that was subsequently sold to QuantHouse and re-branded as their suite of research tools for algorithmic trading strategy development.
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