Inbound + Nate Silver = Inspired Chimps

At Infochimps, we take professional growth development seriously. Last week, Infochimps gave the marketing team the opportunity to attend Hubspot’s Inbound 2013 conference in the beautiful city of Boston.

The 4-day inbound marketing conference delivered everything from product demos, educational sessions, and networking opportunities well beyond my expectations. The high level of excitement for the keynote speakers was anticipated due to the heavy lineup, but nothing could have prepare me for the inspiration each of them delivered.

Keynote speakers Inbound + Nate Silver = Inspired Chimps

Seth Godin inspired me to become someone everyone remembers when I’m out of the room, Arianna Huffington inspired me to renew myself, Scott Harrison inspired me to give back, and of course, there was Nate Silver, the statistician who has made a big name for himself in the Big Data space, inspired me to be more creative in business.

If I had to focus on one keynote speaker for this blog post, it would undoubtedly be Nate Silver. He was the perfect keynote for us Big Data marketing nerds. Famous for his predictions for the last two presidential elections through data analysis, Nate Silver explained the gap between the promise and the reality of Big Data and proposed 4 suggestions for using data to make better business decisions.

The following image was my favorite slide – representing Big Data’s challenge – compliments to Christopher Penn for capturing a better image than my own.

Big Data Issue1 Inbound + Nate Silver = Inspired Chimps

Too awed to jot down all his inspiring quotes, I tried the best I could.  Then I came across this article, “9 Inspirational Quotes from Nate Silver at HubSpot’s INBOUND 2013“, that pinpoints some spot-on incredible quotes. My favorite quote is, “if you don’t know where you are in the present, it’s hard to take quality steps toward the future.”

Nate concluded his keynote with this final slide, his final suggestion to the road of wisdom:

photo 1024x646 Inbound + Nate Silver = Inspired Chimps

Thank you Infochimps for valuing my professional growth, thank you Hubspot for a successful Inbound conference, and thank you to all the marketers who thrive to inspire each and every day.




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5 Reasons to Not Care About Predictive Analytics

predictive analytics 5 Reasons to Not Care About Predictive AnalyticsTechnology: complex and alienating, or promising and fascinating?

I’ve seen plenty of people roll their eyes and give all sorts of reasons they don’t pay much attention to predictive analytics, the increasingly common technology that makes predictions about what each of us will do—from buying, thriving, and donating, to stealing and crashing your car. Here are 5 reasons to go ahead and ignore this prognostic power… or not—you may choose to pay close attention after all.

1. Predictive computers don’t affect me. Not true. You are predicted every day by companies, government, law-enforcement, hospitals, and universities. Their computers say, “I knew you were going to do that!” These institutions seize upon newfound power, predicting whether you’re going to click, buy, lie, or even die. Their technology foresees who will drop out of school, cancel a subscription or get divorced, in some cases before they are even aware of it themselves. Although largely unseen, predictive proaction is omnipresent, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.

2. Corporations invade privacy with data and prediction. This is sometimes true. Predicting human behavior is a new “super power” that combats financial risk, fortifies healthcare, conquers spam, toughens crime-fighting, boosts sales, and wins votes. Organizations gain this power by predicting potent yet—in some cases—sensitive insights about individuals. Companies ascertain untold, private truths—Target figures out that some customers are pregnant and Hewlett-Packard deduces who’s about to quit his or her job. We must each make our own judgment about judges and parole boards who rely every day on crime-predicting computers to decide who stays in prison and who goes free.

3. Prediction is impossible. Not so fast. Nobody knows the future, but putting odds on it to lift the fog just a bit off our hazy view of tomorrow—that’s paydirt. Organizations win big by predicting better than guessing, and they are continually cranking up the precision of predictive technology. Per-person prediction is the key to driving improved decisions, guiding millions of per-person actions. For healthcare, this saves lives. For law enforcement, it fights crime. For business, it decreases risk, lowers cost, improves customer service, and decreases junkmail and spam. It was a contributing factor to the reelection of the U.S. president. Predictive analytics is one of this century’s most important emerging applied sciences.

4. Science is boring—I drive a car but I don’t care how it works. Think again. Cars are simple: little explosions push them. But a computer that learns to predict? That’s a conceptual revolution. There’s an inevitable parallel to be drawn between how a computer learns and how a person learns that only gets more interesting as you examine the details of the machine learning process. It gets even more exciting when you see the heights this technology can reach, such as that achieved by IBM’s Watson computer, which defeated the all-time human champions on the TV quiz show Jeopardy! by “predicting” the answer to each question.

5. I hate math. That’s OK. You don’t need formulas to see how this fascinating science works. Predictive analytics learns by example. The process is not so mysterious: If people who go to the dentist most often pay their bills on time, this factoid is noted and built upon to help predict bill payments. At its core, this technology is intuitive, powerful and awe-inspiring—learn all about it!

Eric Siegel, Ph.D., is the founder of Predictive Analytics World (www.pawcon.com)—coming in 2013 and 2014 to Toronto, San Francisco, Chicago, Washington D.C., Boston, Berlin, and London—and the author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (February 2013, published by Wiley). For more information about predictive analytics, see the Predictive Analytics Guide (www.pawcon.com/guide).




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Infochimps, a CSC Company = Big Data Made Better

Post by Jim Kaskade, CEO

What’s a $15B powerhouse in information technology (IT) and professional services doing with an open source-based Big Data startup?

 

It starts with “Generation-OS”. We’re not talking about Gen-Y or Gen-Z. We’re talking Generation ‘Open Source’. announcement 240x240 Infochimps, a CSC Company = Big Data Made Better

Massive disruption is occurring in information technology as businesses are building upon and around recent advances in analytics, cloud computing and storage, and an omni-channel experience across all connected devices. However, traditional paradigms in software development are not supporting the accelerating rate of change in mobile, web, and social experiences. This is where open source is fueling the most disruptive period in information technology since the move from the mainframe to client-server: Generation Open Source.

Infochimps = Open Standards based Big Data

Infochimps delivers Big Data systems with unprecedented speed, scale and flexibility to enterprise companies.  (And when we say “enterprise companies,” we mean the Global 2000 – a market in which CSC has proven their success.) By joining forces with CSC, we together will deliver one of the most powerful analytic platforms to the enterprise in an unprecedented amount of time.

At the core of Infochimps’ DNA is our unique, open source-based Big Data and cloud expertise. Infochimps was founded by data scientists, cloud computing, and open source experts, who have built three critical analytic services required by virtually all next-generation enterprise applications: real-time data processing and analytics, batch analytics, and ad hoc analytics – all for actionable insights, and all powered by open-standards.

CSC = IT Delivery and Professional Services

When CSC begins to insert the Infochimps DNA into its global staff of 90,000 employees, focused on bringing Big Data to a broad enterprise customer base, powerful things are bound to happen. Infochimps Inc., with offices in both Austin, TX and Silicon Valley, becomes a wholly-owned subsidiary, reporting into CSC’s Big Data and Analytics business unit led by Sashi Reddi, VP and GM.

The Infochimps’ Big Data team and culture will remain intact, as CSC leverages our bold, nimble approach as a force multiplier in driving new client experiences and thought leadership. Infochimps will remain under its existing leadership, with a focus on continuous and collaborative innovation across CSC offerings.

I regularly coach F2K executives on the important topic of “splicing Big Data DNA” into their organizations. We now have the opportunity to practice what we’ve been preaching, by splicing the Infochimps DNA into the CSC organization, acting as a change agent, and ultimately accelerating CSC’s development of its data services platform.

Infochimps + CSC = Big Data Made Better

I laugh many times when we’re knocking on the doors of Fortune 100 CEOs.

“There’s a ‘monkey company’ at the door.”

The Big Data industry seems to be built on animal-based brands like the Hadoop Elephant. So I keep running with the animal theme, by asking C-levels the following question when they inquire about how to create their own Big Data expertise internally:

“If you want to create a creature that can breathe underwater and fly, would it be more feasible to insert the genes for gills into a seagull, or splice the genes for wings into a herring?”

In other words, do you insert Big Data DNA into the business savvy with simplified Big Data tools, or insert business DNA into your Big Data-savvy IT organization? In the case of CSC and Infochimps, I doubt that Mike Lawrie, CSC CEO, wants to be associated with either a seagull or a herring, but I do know he and his senior team are executing on a key strategy to become the thought leader in next-generation technology, starting with Big Data and cloud.

Regardless of your preference for animals (chimpanzees, elephants, birds, or fish), the CSC and Infochimps combination speaks very well to CSC’s strategy for future growth with Big Data, cloud, and open source. At Infochimps, we look forward to leveraging CSC’s enterprise client base, industrialized sales and marketing, solutions development and production resources to scale our value proposition in the marketplace.

“Infochimps, a CSC company, is at the door.”

Jim Kaskade

CEO

Infochimps, a CSC Company

 

 

 

 

Announcing Infochimps Cloud 3.2

AllCloudServices 1024x515 Announcing Infochimps Cloud 3.2

Moving petabytes or even hundreds of terabytes of data to the public cloud can be costly and time consuming work. Since its conception, the goal of the Infochimps Cloud has been to provide the elasticity, scalability, and resiliency of cloud-based big data infrastructure, but in any environment you choose. That may mean the public cloud such as Amazon Web Services, but that may also mean a virtual private cloud, an outsourced data center such as Switch SuperNAP, or your own internal corporate data center.

With the latest release of the Infochimps Cloud, we’re excited to fully realize that vision of easily to moving your data analytics solution to your data, not just moving data to your analytics solution.

Full Private Cloud Support
Infochimps provides not only provides analytics cloud services, but also virtualization integration. With this newest release, the Infochimps Cloud fully integrates with VMware® vSphere®. This integration empowers customers to deploy the full Infochimps stack internally, leveraging their own data center and their own hardware, and either their own VMware software or an integrated Infochimps + VMware solution.

private cloud deploy options 1024x505 Announcing Infochimps Cloud 3.2

This virtualization integration framework, powered by Ironfan and Chef, enables the Infochimps Cloud to deploy to any data center where hardware and virtualization are available. For example, Infochimps partner Switch has a Tier 4 facility in Las Vegas with a 100% data center uptime guarantee, where Infochimps can quickly and seamlessly deploy big data solutions that have unrivaled reliability and high availability.

Ultimate in Cloud Mobility
One of the amazing differentiators of utilizing Infochimps Cloud is the concept of cloud mobility. Start in one environment, such as Amazon Web Services, to quickly build your application and provide a development and testing platform for your team. At any time, you can quickly migrate both your cloud services infrastructure and your big data application logic to a different environment, such as SuperNAP or your internal data center, for your final production application.

cloud hybrid and migration 1024x201 Announcing Infochimps Cloud 3.2

This is enabled by both the Ironfan homebase and application Deploy Pack frameworks, which provide folder structures to encapsulate your infrastructure and application code, and seamlessly allow them to plug into different hardware and different cloud services nodes respectively.

While this capability makes a lot of sense for applications that have sensitive data or security concerns, this also is extremely useful when customers want to get started as quickly as possible. Infochimps can turnover a completely configured Amazon Web Services environment in just a few days, developers and analysts can begin cranking away, and simultaneously a data center environment can be prepped for the eventual second stage of infrastructure deployment.

Improved Developer and Data Scientist Tools
Also major improvements have been made the user experience in working with Infochimps Cloud platform.

Wukong 3.0 is the latest DSL and command line toolkit for rapid big data application development:

  • Updated wukong-hadoop for writing Hadoop Streaming jobs with simple micro-scripts
  • All new wukong-storm for taking your Wukong flows (stitching together data sources, “processors,” and data destinations) and deploying them as Storm topologies
  • All new wukong-deploy for quickly generating Deploy Packs for encapsulating your application logic that can be tested locally, then be deployed to your Infochimps Cloud solution

The Infochimps Cloud API has been enhanced for more cross-platform functionality:

  • Unified monitoring metrics are available for understanding what is happening within the platform
  • It’s even simpler to store configuration values and settings, which can be utilized by any of your applications across the various Infochimps cloud services

To learn more about the Infochimps Cloud and the latest enhancements, request a demo today.

[Webinar] Gnip+Infomart+Infochimps: Real Returns in Real Time

Real Returns in Real Time: Easy Application Development Using Infochimps Cloud
Hosted by Gnip
Thursday, June 13 @ 10amMDT, 11amCT, 12pmET

How can social data analysis provide immediate and actionable insight? Gnip has invited Infochimps, a member of their Plugged In partner program, to show how we leverage Gnip integration in Infochimps Cloud to deliver real-time analysis to Infomart, a joint client.

Join this webinar to learn how companies are using easily developed social data analysis apps to solve key business challenges in real time.

REGISTER 300x75 [Webinar] Gnip+Infomart+Infochimps: Real Returns in Real Time

 

 

Meet the Presenters:

  • Tim Gasper [Webinar] Gnip+Infomart+Infochimps: Real Returns in Real TimeTim Gasper, Director of Product for Infochimps, has led the product design and strategy for Infochimps, originally founded Keepstream, a social media analytics and curation startup, and is an accomplished writer and speaker on entrepreneurship, lean startup methodology, and Big Data.
  • Jennifer Stein [Webinar] Gnip+Infomart+Infochimps: Real Returns in Real TimeJennifer Stein, General Manager of Platform & Experience for Infomart, has worked with Infomart and its predecessor products for over ten years. Her responsibilities include providing leadership for the ongoing development of Infomart, Postmedia Network’s media monitoring & intelligence platform for Canadian business. She is also responsible for the direction of the Client Success team, a cross-functional group whose role includes client support & outreach, training, and facilitating retention.
  • Seth McGuire [Webinar] Gnip+Infomart+Infochimps: Real Returns in Real TimeSeth McGuire, Director of Business Development for Gnip, Inc, previously managed research and sales for the Corporate Executive Board, a D.C. based best-practices consulting  firm serving Fortune 1000 clients. Following that, he completed an MBA at the University of Virginia. Founded in 2008, Gnip is the leading provider of real-time social media data for enterprise applications ranging from hedge funds to social media monitoring firms and business intelligence companies.





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Big Data: The Marketer’s (potential) Goldmine

Gold 300x225 Big Data: The Marketers (potential) GoldmineIn a world littered with seemingly endless streams of data, marketing has some interesting challenges.  What exactly are we supposed to do with terabytes, even petabytes, of data?  Unfortunately, there is still a lot of buzz in the phrase, “big data”.  Most believe it’s still just a marketing term that provides little value in the long run.

However, big data is quite powerful.  While its relevance may seem obvious for certain industries that are heavily structured around data, for most organizations, big data still represents an unknown.  Most marketing organizations have now implemented some form of customer relationship management (CRM) systems, but most of these programs have been poorly executed.  Storing huge amounts of consumer data may seem appealing, but how exactly can marketing teams use this data to the company’s advantage?

There are numerous examples of analytical tools and campaign software.  How does big data fit into this mix?  How can marketers leverage these tools to notice trends in a timely manner that would allow us to properly direct resources, thereby eliminating waste and improving ROI? How can big data provide insights that might otherwise be overlooked?

Raw data can tell us what, but it can’t tell us how or why.  Insights are key.  It can seem like searching for a needle in a haystack.  But as more advanced technology surfaces, big data can help marketers turn information into insights at a relatively break-neck pace.  This offers substantial competitive advantages.

Here are a few areas where big data can help marketers gain a competitive edge:
Predictions:  Big data is fundamentally about predicting outcomes and behavior.  By analyzing data from multiple channels and multiple points in time, big data can potentially supply marketers with information about customers’ buying and behavior patterns.  We now have highly advanced real-time analytical models to ease these challenges.  Instead of taking data from only the past, we can now use big data to find patterns based on real-time data, not simply averages over certain periods of time.

Better Decisions:  When we have accurate predictive models in place, we can make better decisions about all aspects of a marketing campaign.  And more importantly, these decisions can now be based on evidence, rather than guesswork.  How many times have you seen marketing and sales teams make decisions based on gut feelings?  Gut instinct is a nice way of saying gambling.  As creative marketers, we certainly like intuition and creativity, but, for the most part, decisions in this context need to be based on evidence.  If we can know what, how, why and when, there is no need to rack our brains on “what if” scenarios.

Social Media:  When social media began to surface, it made us realize that companies can interact and engage with customers (and potential customers) immediately.  And with further development of analytics, it’s becoming more important to evaluate those interactions to determine customer opinions and perceptions, and identify ways to improve.  Social media has given the public a platform to voice their opinions, which can go viral in the blink of an eye.  Depending on what has been said, there may be a need for serious damage control.  Never before has the public had the power to make or break a company with an expression of their thoughts and experience.  Big data can help gather the information and make predictions based on that data.  Just as governments, NGOs and other organizations have used data to predict patterns in crime, health epidemics, and even financial events and fraud patterns, companies can utilize the huge amounts of data in social platforms to not only observe customer thoughts, but to analyze their online behavior to predict the success of a company’s product or service.

Customer Experience Management:  Consumer data is extremely valuable.  It’s the marketer’s currency.  And with recent advancements in technology, there are now ways that data can help us discern what is valuable to the customer, what influences customer loyalty and what makes them return.  This is relevant because having this insight can help marketers tailor advertising campaigns to current and perspective customers.

Automation:  Marketing automation is now expanding into more advanced functionality, partially with the help of machine learning.  Big data is giving marketers the ability to create advertising and content that is highly personalized.  When actions are automated, machines and humans can form a partnership and the platforms can eventually decide what is released to the customer, why it’s released, and how.  This can be very powerful because the more relevant the material for consumers, the more likely they are to make a purchase.

Marketing Evaluation and Performance:  One of the most valuable aspects to big data is that the technology can be used to measure nearly everything.  It not only gives marketers insight into their customers, but also into their own organization’s efficiency.  Big data makes it possible for marketers to monitor the productivity of marketing programs through constant analysis and evaluation.  Campaigns are virtually useless if their performance isn’t being measured.

The Bottom Line:
Big data is often a missed revenue opportunity.  If marketing teams can incorporate data management into their strategy, the payoff is potentially huge.  Think of data as the essential ingredient to an overall strategy.  The combination of insights from big data, decisions based on those insights, and the actions taken will ultimately prove worthwhile.

Jessica Marie is a consultant, writer and recovering banker.  After nearly 10 years holding various positions in commercial banking and finance, she moved on to pursue her passion for enterprise technology and corporate strategy.  In her spare time, she is a volunteer with non-profits and a concert pianist by night.  Reach her via Twitter @jessicamariemba.


   
       
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Image Source: Standard.net

How To Do a Big Data Project: A Template for Success

BDPTscreenshot How To Do a Big Data Project: A Template for SuccessBig Data is sweeping the business world – and while it can mean different things to different people, one thing always rings true: data-driven decisions and applications create immense value by utilizing data sources to discover, present, and operationalize important business insights.

While there is broad industry consensus on the value of Big Data, there is no standardized approach for how to begin and complete a project. This how-to guide leverages our repeated success at working with enterprises to stand up Infochimps Cloud solution in complex organizations and technical environments.

DOWNLOAD 300x80 How To Do a Big Data Project: A Template for Success

 

 

We’ve narrowed it down to 4 key steps to successfully implementing your Big Data project. This part how-to, part working doc will empower your organization to achieve your defined business objectives through Big Data, regardless of the various technical environments.

This Template Also Includes:

  1. Real-life Use Cases
  2. Technical Requirements Worksheet
  3. Business Overview Worksheet
  4. Tips, Tricks, and How-To’s

Download Now and achieve a faster path to ROI; prove the value of Big Data internally; and scale to support more data sources and use cases.

“We’ve successfully empowered a number of Fortune 1000 companies with Big Data systems used to increase bottom lines, and we’ve done so at incredible speed. We’ve done this by combining the power of cloud as a delivery model, along with best practices represented in this project guide.”

PRcta 300x71 How To Do a Big Data Project: A Template for Success

 

 

Serial entrepreneur Jim Kaskade, CEO of Infochimps, the company that is bringing Big Data to the cloud, has been leading startups from their founding to acquisition for more than ten years of his 25 years in technology. Prior to Infochimps, Jim was an Entrepreneur-in-Residence at PARC, a Xerox company, where he established PARC’s Big Data program, and helped build its Private Cloud platform. Jim also served as the SVP, General Manager and Chief of Cloud at SIOS Technology, where he led global cloud strategy. Jim started his analytics and data-warehousing career working at Teradata for 10 years, where he initiated the company’s in-database analytics and data mining programs.




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The President + Infochimps + Austin

obama21 The President + Infochimps + Austin

As Austin continues to thrive, making Top 10 Lists for everything from innovation to affordable housing, President Obama himself came to see what’s going on. “I’ve come to listen and learn and highlight some of the good work that’s being done,” Obama said during his visit to Austin. “Folks around here are doing something right.”

We are doing something right – these lists speak for themselves:

  • Best City for Small Business nationally by The Business Journals
  • #1 large city for young entrepreneurs according to Under30CEO
  • #1 among the 100 largest U.S. metros based on amount recovered from pre-recession peak to the present based on employment, unemployment, output, and house prices according to Brookings Institution
  • #3 fastest-growing tech job market according to Dice.com
  • #3 “Best Cities for Good Jobs” list according to Forbes

In his recent visit to Austin, President Obama stopped by Capital Factory, an incubator for technology startups where he learned about Austin’s technology community, and was introduced to Infochimps. Wanting to move to Austin?

Come Work With Us >>





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Source: http://austintexas.gov/rankings

Tell Your Children to Learn Hadoop

I spent some time with several vendors and users of Hadoop, the formless data repository that is the current favorite of many dot coms and the darling of the data nerds. It was instructive. Moms and Dads, tell your kids to start learning this technology now. The younger the better.

I still know relatively little about the Hadoop ecosystem, but it is a big tent and getting bigger. To grok it, you have to cast aside several long-held tech assumptions. First, that you know what you are looking for when you build your databases: Hadoop encourages pack rats to store every log entry, every Tweet, every Web transaction, and other Internet flotsam and jetsam. The hope is that one day some user will come with a question that can’t be answered in any way other than to comb through this morass. Who needs to spend months on requirements documents and data dictionaries when we can just shovel our data into a hard drive somewhere? Turns out, a lot of folks.

Think of Hadoop as the ultimate in agile software development: we don’t even know what we are developing at the start of the project, just that we are going to find that proverbial needle in all those zettabytes.

Hadoop also casts aside the notion that we in IT have even the slightest smidgen of control over our “mission critical” infrastructure. It also casts aside that we turn to open source code when we have reached a commodity product class that can support a rich collection of developers. That we need solid n.1 versions after the n.0 release has been debugged and straightened out. Versions which are offered by largish vendors who have inked deals with thousands of customers.

No, no, no and no. The IT crowd isn’t necessarily leading the Hadooping of our networks. Departmental analysts can get their own datasets up and running, although you really need skilled folks who have a handle on the dozen or so helper technologies to really make Hadoop truly useful. And Hadoop is anything but a commodity: there are at least eight different distributions with varying degrees of support and add-ons, including ones from its originators at Yahoo. And the current version? Try something like 0.2. Maybe this is an artifact of the open source movement which loves those decimal points in their release versions. Another company has released its 1.0 version last week, and they have been at it for several years.

And customers? Some of the major Hadoop purveyors have dozens, in some cases close to triple digits. Not exactly impressive, until you run down the list. Yahoo (which began the whole shebang as a way to help its now forlorn search engine) has the largest Hadoop cluster around at more than 42,000 nodes. And I met someone else who has a mere 30-node cluster: he was confident by this time next year he would be storing a petabyte on several hundred nodes. That’s a thousand terabytes, for those that aren’t used to thinking of that part of the metric system.

Three years ago I would have told you to teach your kids WordPress, but that seems passé, even quaint now. Now even grade schoollers can set up their own blogs and websites without knowing much code at all, and those who are sufficiently motivated can learn Perl and PHP online. But Hadoop clearly has captured the zeitgeist, or at least a lot of our data, and it poised to gather more of it as time goes on. Lots of firms are hiring too, and the demand is only growing.

Infochimps has some great resources to get you started here >>

David Strom is a world-known expert on networking and communications technologies. Whether you got your first PC at age 60 or grew up with an Apple in your crib, Strom can help you understand how to use your computers, keep them secure, and understand how to create and deploy a variety of Internet applications and services. He has worked extensively in the Information Technology end-user computing industry and has managed editorial operations for trade publications in the network computing, electronics components, computer enthusiast, reseller channel and security markets.




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Image Source: huffingtonpost.com

See You @ CloudCon Expo

CloudCon 300x300 See You @ CloudCon ExpoCloudCon Expo & Conference, May 14-15, San Francisco

CloudCon Expo & Conference brings you the opportunity to learn best practices and strategies for cloud deployment. A perfect event designed for IT professionals and decision makers looking to implement cloud technology to achieve benefits like reliability, adaptability and cost reduction. Infochimps will be exhibiting at CloudCon as well as participating in the following sessions:

Title: PaaS on Software Defined Data Centers (SDDC)
Description: Discover the emerging area of Software-defined Data Center. This model provides the culmination of server, storage, and network virtualization where resource pools — regardless of their physical location — are automatically provisioned to fit the demands of an organization’s applications. The model promises an unprecedented level of flexibility and simplicity for companies embracing cloud computing, but the porous nature of the cloud also exposes companies to a greater array of security threats.
Where: Grand Ballroom E
When: Wed, May 15 @ 10:30am-11:30am PT
Speakers:

  • Jim Kaskade, CEO of Infochimps
  • Brandon Hoff, Director of Product at Emulux

Title: POWER PANEL: The Business of Cloud & Big Data
Description: As Cloud computing is becoming a de facto standard, we are collectively storing massive amount of data in the cloud. Companies are now trying to mine this immense source of information. Assuming everything is stored in the cloud, interesting questions arise. Listen to the thought leaders as they discuss business issues and lessons learnt by companies in Cloud and Big Data space.
Where: Grand Ballroom
When: Wed, May 15 @ 12:15pm-1:00pm PT
Speakers:

  • Moderator: Jim Kaskade, CEO of Infochimps
  • Laurance Guillory, CEO of Racemi
  • Chris C. Kemp, CEO of Nebula
  • Martin Mikos, CEO of Eucalyptus Systems
  • Ron Bodkin, CEO of Think Big Analytics

Stop by the Expo, Booth #11, to chat about Big Data or set up a 1-1 meeting with one of our Big Data experts, see you there!




6fefa857 2e95 4742 9684 869168ac7099 See You @ CloudCon Expo