Big Data : The Next Revolution to Transform the Events and Communities?

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A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on events, trade shows and communities. How can the observation of seemingly insignificant details influence important business decisions? How can show organizers harness the power of these new tools?
The key to answering data management questions for onsite and online communities could become big data. This emerging science can translate myriad phenomena-from the price of airline tickets to the text of millions of books- into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come.
Stephen will explain what big data is, how it could impact the trade show industry, and what show organizers and corporate planners should be doing to benefits from these new solutions

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  • Big Data – I am right here. Big data is all around us. It is the information that we choose to collect. It can be as simple as the count of attendees and exhibitors or as complex as genetic algorithms designed to calculate risk or forecasts.When I was asked to speak on Big Data and the impact on the events and communities, I expected to tell you that Big Data is the most important immediate technology trend that is impacting our industry. It is the all end answer to our challenges to recruit exhibitors and sponsors and as we say in the States, “to get butts in seats” – to recruit the attendees that walk our trade show floors and conference halls.This morning, I will tell you Big Data is still extremely important, but it is a more important trend that must be considered for the future. There are very few ways to take advantage of Big Data today. Our events represent original marketplaces. We are often bringing together for the first time, buyers and suppliers to conduct the business of an industry vertical. The most valuable we can provide to that industry, the greater value of our face to face meetings and shows. Show managers and event planners must continually examine the technology that can help us create these introductions. Events and shows create huge volumes of content as we bring together experts in these markets to educate on the latest practices and innovations. In today’s processes, this stream of information can be gathered together and stored for data mining. Data mining is the review of large amount of information in order to look for relevant conclusions to help drive business decisions.So, how can the observation of seemingly insignificant details influence important business decisions?
  • My name is Stephen Nold. I am the president of SCN Partners. We work with large trade shows and corporate events to advise them on selecting, implementing and executing technology into member community.I would like to start by playing two videos that offer a humorous look at the definition of big data.
  • Today I would like to talk to you about Big Data. I want to discuss what happens when Big Data comes to visit your organization. What do you need to prepare? What impact will it have on your business processes. We will discern what is important about big data versus what is hype. What does it take to manage Big Data?I want you to leave with an understanding of Big Data and how it can apply to you. But more important I want you to have three big processes that are valuable today to the way you conduct business.
  • First let’s start with the definition of Big Data.Big data is a collection of large and complex information.Difficult to process using database management tools or traditional data processing applications. Many challenges including Capture, Storage, Search, Sharing, Transfer, Analysis and VisualizationValue?Additional information provides business intelligenceCorrelations to spot business trends, qualify research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.
  • This is the user interface for Google’s Big Data tool appropriately called “Big Query”.
  • This is the architecture diagram of Google’s BigQuery software…
  • Compliments of Dave Turek, the guy in charge of supercomputer development at IBM: From the year 2003 and working backwards to the beginning of human history, we generated, according to IBM’s calculations, five exabytes–that’s five billion gigabytes–of information. By last year, we were cranking out that much data every two days. By next year, predicts Turek, we’ll be doing it every 10 minutes.http://blogs.smithsonianmag.com/ideas/2012/05/big-data-or-too-much-information/
  • An this is an example of report of the output from Google’s BigQuery solution. A census report chart on the married ratio of 109 million US along with mother’s ethnic background and mother age.I have now shown you a Big Data tool, including the algorithms and pipeline for the data and the results. You have now seen Big Data. I hope you feel much smarter.
  • Big Data is just information. A lot of information.Because it is so much information, big data requires lots of computer memory, storage and processing.Big Data = lots of information.More than a single computer node can handle.Software architecture designed to manage large amount of distributed information in order to process algorithmsLibrary shelf 1 of books + library shelf 2 of books = total library shelf of books count.Google Books Library = over 1 million books
  • Memory Scale IssueBig Data –Memory - Little StorageThe IBM Blue Gene/P computer has been used to simulate a number of artificial neurons equivalent to approximately one percent of a human cerebral cortex, containing 1.6 billion neurons with approximately 9 trillion connections. The same research group also succeeded in using a supercomputer to simulate a number of artificial neurons equivalent to the entirety of a rat's brain.Storage160GB hard drive = 171,798,691,840 bytes2GB of RAM = 2,147,483,648 bytes1 byte = 8 million atomsIBM new byte = 96 atoms
  • Amazon Amazon’s product recommendations – sure, I’ll take a JavaScript book, a pair of Asics, and season 1 of Game of Thrones. How do they know me so well?!GmailGmail’s Bayesian spam filter – no more tempting emails from that pesky Nigerian prince!Obama CampaignObama's get out the vote efforts. In 2008 it was called Project Narwal, I don't know what it was called in 2012. NetflixNetflix uses information to shape personal recommendations from customers, and also users big data to improve streaming video, as the Wall Street Journal reports:"Hadoop processing power allows the company to run massive data analyses, such as graphing traffic patterns for every type of device across multiple markets."That effort helps Netflix improve the reliability of video feeds on different platforms and plan for future growth of streaming movies and shows. For example, the greater processing capabilities can allow engineers to see where traffic on the network is running slower, allowing them to plan for additional network capacity.”Netflix
  • Big Data : The Next Revolution to Transform the Events and Communities?

    1. 1. Big DataThe Next Revolution to Transform Events andCommunities
    2. 2. “I’m Big Data”
    3. 3. “A Visit from Big Data”
    4. 4. What is Big Data? Big data is large and complex information Difficult to process Challenges include: Capture, Storage (=DataWarehousing), Search, Sharing, Transfer, Analysis andVisualization Value? Information provides intel CorrelationsBIGD
    5. 5. What is Big Data? Big Data = lots of information. More than a single computer node can handle. Software manages large amount of informationin order to process algorithms Library shelf 1 of books + library shelf 2 of books =total library shelf of books count Google Books Library Project
    6. 6. A Boy and his Atom
    7. 7. Evolution of trade shows tocommunity Role of social media tools and inboundmarketing Discerning between the hype and truth
    8. 8. Big Data Sources Social Media Web Assets Inbound Marketing Mobile Applications Registration Marketing Campaigns Internet Press Releases, Articles, BlogsBIGD
    9. 9. Big Data Usage The latest technology buzz Butts in Seats – Audience Recruitment Exhibitor Profiling Content Marketing Cross Branding and Messaging Business Intelligence Registration Marketing CampaignsBIGD
    10. 10. Big Data Concerns Big data is not magic Strategies are needed Bad big data in = bad big data out Requires resources and money Doesn’t happen overnight (most of the time) Is rocket science at times and hence knowledgeis needed
    11. 11. Big Data InfluencingBusiness Decisions Show organizers should harness the power ofthese new tools Planners can learn from Google in the power ofpredictions
    12. 12. Three New Trends Evolution from Trade Shows and Events toCommunity Data Storage and Management Content Capture and Distribution Launch.IT ExpoBee

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