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Everybody talks about the “cloud” as if it is a digital savior. A beautiful white fluffy (free) cloud on a blue-sky day. Sounds nice, huh? But what if it’s a storm cloud? Today – there is a mad rush to move pictures, video, and event private data to the cloud. We live in a world today of constant connection. We’re blessed with unlimited access to pervasive communications. We are, in fact, shifting from an era of mere content abundance to an avalanche of undifferentiated data. Our hard drives runneth over. So - you can't blame your self for wanting to move to the cloud. Unlimited space for all your crap - and free. Who wouldn't sign up? Today the noisy web has resulted in the emergence of a handful of private, walled garden webs. A closed web. Will our cloud providers become information overloads? Can we save the web from privatization, and regain control over our data and our identities? Only if we move fast. Before ‘Big Data’ becomes ‘Big Government.’ Find out how digital ‘overload’ can insure power in the human web.
by Becky Wang
Today, we have data – lots of it. We can process information – in many ways. We have models to understand our process. With these tools and a dash of creativity, we are discovering surprising patterns of human behavior and by extension, a way to accurately predict our desires and our future. In fact, we can quantify movements, behaviors, desires, and moods on a scale that wasn’t possible before a series of advances in processing power, developments in psychology, the science of social networks and collaboration, and most importantly, access to data. As we have evolved from Web 1.0 to 4.0 – in this anticipatory era – what will we dream up next? Beyond addressability and ad relevance, marketing initiatives and product development, how else can businesses utilize these advances? In advertising, industry, & humanity, can we make the leap from inductive logic to intuition? Can we supplement our brain mechanics with these new tools to finally predict what makes us happy?
by Erik Swan and Michael Wilde
WTF is Big Data & Why Should I Care?Love that smartphone? Navigate with your GPS? Tweeting about this session? Everything other than brushing your teeth has is generating data. Every action we do generates data & a record of that action. According to a recent study by McKinsey, 15 out of 17 industry sectors in the US have more data stored per company than the Library of Congress. The sheer volume of data, driven by new devices & disparate data sources, requires a shift in how to capture & analyze information. If you could mine data generated by your audience, what questions might you ask? Improving your perspective on what users are doing or how they're interacting with you can yield some amazing returns. Analyzing big data can be as easy as surfing the web. We'll show some cool ways to ask questions, in realtime, to some fun data sources & get amazing answers. See how to turn data into information, information to knowledge & knowledge to action.
What do modern day cybersecurity attacks look like? This panel will evaluate of the current state and evolution of cybersecurity, and discuss how big data plays a role in understanding where to dig in and monitor for suspicious activity. Attacks are financed by governments and organized crime, combining various attack techniques that skirt traditional tools — come learn how to keep your company off the front page of The New York Times. While this session will highlight hands-on tactics, the panel is intended to stretch the audience and invite them to engage with panelists on concepts that are forward-looking and challenge the mundane.
by Ravi Iyer
Moral psychology and data analysis will eventually converge because successful organizations no longer serve physical, but psychological needs. This presentation will show how, in an age where consumption is about values (e.g. Whole Foods) and happiness (e.g. Zappos) rather than survival, moral psychology is essential knowledge for any organization. Leveraging our work at YourMorals.org, I will present research showing: 1) why emotional profiles are more important than demographic profiles, 2) how social networks form from moral agreement, and 3) why the ideological identification of employees and customers is important knowledge. Organizations will both use and contribute to the world's knowledge of moral psychology. Leveraging my dual experience as a data scientist for Ranker.com and as a moral psychologist at USC, I will illustrate how you can use recent moral psychology research to better help your customers and employees understand and live up to their values.
by Arnab Gupta
Using Big Data Takes Machines & Humans Man vs. machine – usually, good (man) versus evil (machine) – has long been the stuff of scary science fiction. And now as machines master more advanced processes, the prospect that thinking machines will outperform and ultimately replace thinking humans becomes more real and threatening. Example: IBM’s Watson, an advanced AI machine that’s squared off against Jeopardy’s best human contestants and won.But Arnab Gupta, CEO of Big Data analytics firm Opera Solutions, believes “humans vs. machines” is the wrong construct. Humans PLUS machines is far more powerful. Marrying machines’ ability to discern patterns in Big Data with humans’ ability to derive meaning from this output enables far better decisions. It’s the next wave in productivity.How to accomplish this, when machines and people speak different languages and “think” differently? At SXSW, Arnab will explore the power of “machine + humans” and discuss ways to create collaboration.
Technological innovation has dramatically increased the types andvolume of personal information created and captured. Social networks,mobile devices, thermostats, cars, even kitchen appliances collect andaggregate data from and about users. Personal data is among the mostvaluable assets for the current crop of tech startups. On the darkside, consumers have very little conception of the amount of data theyare creating and sharing and little appreciation of the potential risksand harms. On the bright side, data-based innovation can lead to newproducts, more efficiency, and lower costs. How can we protectourselves, without overreacting, in the age of data abundance? Can wetrust in the market to deliver the appropriate controls and usereducation, or do we need regulatory intervention? This session is sponsored by CNET / CBS Interactive.
There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.”
As the amount of data in the world explodes, the ability to manage all of this information has become increasingly difficult. In 2009, over $4 trillion dollars was spent to manage close to 800,000 petabytes of data (1 PB = 1M GB) - by 2020, total data is expected to be 44 times that!
And 70% of this data is media.
As businesses move their infrastructure to the cloud, it’s critical to understand the ramifications of doing so. This panel will look at the technologies and practical applications of media data management – what they are, how they work, how companies can benefit from them, and the risks and limitations.
Topics covered will include the basics of the cloud, the differences between consumer facing and enterprise technologies, where things are today, and what to expect in the next 5 years.
Get together with other Big Data professionals for an hour of brainstorming, idea-buidling, networking, friend-making and career-enhancement. Or, attend this Meet Up to learn more about this segment of the industry -- or if you are looking to hire a Big Data expert for your company.
by Eric Wheeler
All we read about these days is the promise of “Big Data.” Companies like Google, Facebook, and Amazon are just beginning to tap into the mass information they possess, and one shudders to imagine just how much these companies know about what we’re up to online. There’s no telling how much data there currently is, and may become available in the future, and still no clear path on how to balance the opportunity with the risk. The only thing that is certain is that data is the hottest topic this industry’s seen in a long time – and all of the data in the world won’t help marketers without the right filter. The real power lies here: in the Social Graph. The Social Graph is the missing link between advertising and our interactions on the Web. By tapping into the social connections and relationships between a brand’s loyalists and her closest friends, the Social Graph revolutionizes the degree of advertising effectiveness, with infrastructure that respects consumer privacy.
Our wallets are one of the last remaining bastions of a pre-digital lifestyle, relics of an era of payment that has since come and gone.
Coupons are now Groupons, rewards cards are digitally stored on our smartphones and Square wants to power all our payments. With all these new ways to slim down and streamline our wallets, why are we still getting a paper receipt every time we check out at the grocery store? With so much progress, why are men still sporting the infamous Costanza bulge and women toting around pocketbooks that look like small filing cabinets? As more commerce shifts from offline to online, and even offline retailers are experimenting with digital marketing & transactions, the Costanza wallet is due for a makeover.
What are the brands and startups that are changing how we think about receipts? What will the implications of Big Data and privacy be in this transition? And what systems will ultimately come to define how we all chronicle our shopping experiences moving forward?
Our wallets have been ceding themselves over to the digital age for quite some time now. It’s about time we took that final leap and made the upgrade to Wallet 2.0.
by Gilad Lotan
“My real competition is 30 billion status updates,” PepsiCo Head of
Digital Shiv Singh has said of the challenge of being a brand in the
social space. Attention is the new bottleneck, and brands often adopt
counter-productive strategies to try and break through. They swear by
a certain time of day or spend an inordinate amount of time trying to
reach certain Twitter users deemed "influencers."
But what if there's something else at work in the massive flow of
information on Twitter? What if its not so much these so-called
"influencers" that propel a piece of information to major viral
broadcast, but the micro-networks and the aggregated interactions that
amass around them instead? Part case study of how massive spreads of
information and half how-to on the tools brands need to create and
manage micro-networks, this presentation will unlock that data
patterns on social that, when intelligently predicted and captured,
can be used to amplify the spread of a message on a grand scale.
9th–13th March 2012