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GigaOM's Structure:Data 2012 schedule

Wednesday 21st March 2012

  • Opening Remarks

    by Stacey Higginbotham, Om Malik and Derrick Harris

    At 8:30am to 8:40am, Wednesday 21st March

  • Structuring Decisions from Unstructured Data

    by avnur, Seth Grimes, Paul Speciale and Staffan Truvé

    What's the holy grail of Big Data? Cracking the code of mining unstructured data. Text and otherwise, unstructured data represents the majority of the Big Data Universe's "dark matter." But what approaches will work? What are the real benefits and how can your enterprise start making sense of the vastness of the data? Hear from leaders in the field with real world approaches and thoughts about the future of technologies for unstructured data.

    At 8:40am to 9:10am, Wednesday 21st March

  • Machine Learning's Impact on Business Models and Industry Structures

    by Mok Oh, Amarnath Thombre, Skytree, ggilbert41 and Currie Boyle

    These days big piles of data, cheap compute power and insightful algorithms lead to the business world applying machine learning to do business better than before. These smart algorithms provide huge competitive advantages, and in some cases completely restructuring existing industries. In this panel we'll discuss the problems of machine learning at scale and talk about new opportunities result from a world where business minds are aided by machine learning.

    At 9:10am to 9:45am, Wednesday 21st March

  • Querying Google's Big Query

    by Shailesh Rao and Stacey Higginbotham

    Google uses Big Data, Big Compute and “Big Smarts” to huge business advantage. With its recently announced Big Query product, it aims to provide Google-scale data analytics on billion row data sets to customers. The power of such a tool affords many businesses the ability to access powerful data analytics for the first time. In this fireside chat, we talk to Google about its plans for the product and what impacts and opportunities it will create in the marketplace over the coming months.

    At 9:45am to 10:00am, Wednesday 21st March

  • Smart Tools: Dissect, Digest and Deliver on Big Data

    by wearecloud

    No one really needs an army of IT analysts. A new generation of tools is empowering business users of all abilities to derive value from Big Data, one digestible bite at a time. Intuitive interfaces on affordable and powerful cloud services mean that the right tools can be effective for the jobs at hand.

    At 10:00am to 10:10am, Wednesday 21st March

  • Big Data, Security and Innovation

    by Katie Fehrenbacher and James Woolsey

    Massive amounts of energy data will emerge as utilities in the U.S. add information technology to their grids. But this also could make the grid even more vulnerable to security concerns as that energy data could be hacked by people and nations that could use it to their advantage. Woolsey’s background in defense and venture capital puts him in a unique position to discuss the intersections of big data, security, innovation and energy.

    At 10:10am to 10:30am, Wednesday 21st March

  • Datastax Sponsor Workshop

    At 10:45am to 11:30am, Wednesday 21st March

  • EMC Sponsor Workshop

    At 10:45am to 11:30am, Wednesday 21st March

  • Lexisnexis Sponsor Workshop

    At 10:45am to 11:30am, Wednesday 21st March

  • The 3V's of Big Data: Variety, Velocity and Volume

    by ChoozOn

    Today, businesses are hungry for data science that is as theoretically strong as it is fine-tuned. This has led to advances in dealing with the 3V’s of Big Data: Variety, Velocity, and Volume. This talk will map the next frontiers of data science, highlighting its impact on various industries, including health care, consumer services, marketing and advertising, social media and more. Featuring Usama Fayyad, one of the world’s foremost experts on data mining.

    At 11:30am to 11:45am, Wednesday 21st March

  • Enterprise Next: How social data will shape the enterprise

    by Cameran Evans, Mathew Ingram and David Gutelius

    E-mail without a doubt completely changed the way we work and what is expected of us as workers. As workers bring new mobile technologies and new messaging tools into the workplace, we stand at a time where we are generating huge amounts of data about the way we work, who we work with, and what we work on. In this session we talk to two leading data scientists who are using data to shape enterprise tools of the future and will learn how data will drive the evolution of enterprise software.

    At 11:45am to 12:05pm, Wednesday 21st March

  • Puzzling

    by Jeff Jonas

    Much in the same way a jigsaw puzzle incrementally reveals the big picture, vast information collections come together in a computationally similar way. This context accumulating process is the essential magic necessary for computers to really make sense of the world. Four puzzling experiments bring these mechanics to life and bring revelation about what must come next in the area of sensemaking systems. IBM Distinguished Engineer, Jeff Jonas, creates a framework to help attendees pull together and integrate all these pieces.

    At 12:05pm to 12:20pm, Wednesday 21st March

  • Chat

    by Om Malik

    At 12:20pm to 12:40pm, Wednesday 21st March

  • Big Ideas

    by Karthik

    Without Big Ideas, big data is a big back hole for industry. We bring you a curated selection of speakers and companies to present their shining new innovations to you.

    At 12:40pm to 12:45pm, Wednesday 21st March

  • Talk

    by Robert Lefkowitz

    At 12:45pm to 1:00pm, Wednesday 21st March

  • Aspera Sponsor Workshop

    At 1:15pm to 2:00pm, Wednesday 21st March

  • Aster Data Sponsor Workshop

    At 1:15pm to 2:00pm, Wednesday 21st March

  • Marklogic Sponsor Workshop

    At 1:15pm to 2:00pm, Wednesday 21st March

  • Prediction Competitions: Adding the Human Touch to Big Data Problems

    by Jeremy Howard, Ryan Kim and Eric Huls

    Making accurate predictions is the golden goose of data science. The more accurate your predictions, the more competitive advantage you can generate. One phenomena that has been observed to create the most accurate predictions has been that of marketplaces functioning as prediction markets. In this fireside chat we'll talk about one of the most disruptive approaches to applying prediction markets to big data problems.

    At 2:00pm to 2:20pm, Wednesday 21st March

  • Mining the Oil of the 21st Century

    by Derrick Harris and Opera Solutions

    “Crude Oil” underwrote the economic and industrial explosion of the 20th century. In the 21st century the new black gold is “Crude Data”. Plentiful and available. When refined, our expectations are that distilled insights will provide new profitability in an information economy. In this session we talk to the founder of Opera, a company leading the vanguard to be the “Oil Refinery” for customers through applying machine and human smarts to customers with huge vats of “Crude Data”. As the global industry creates more data, what future profitability can we look forward to?

    At 2:20pm to 2:35pm, Wednesday 21st March

  • The Future for Hadoop

    by Mike Olson and Jo Maitland

    Hadoop adoption is surging in the enterprise. One of the early pioneers in this field is Cloudera. We'll hear about their successes in the deployment of Hadoop, its continued growth and success, and the challenges Cloudera will face in its stewardship of the open-source project when conflicted against the demands of the commercial marketplace. We also explore the burgeoning Hadoop ecosystem and what the next 24 months has in store.

    At 2:35pm to 2:50pm, Wednesday 21st March

  • Realizing Real Time Value on the Real Time Web

    by drluckyspin

    To date, Big Data has been mostly focused on batch and Data Science workloads. This is about to change with the advent of the Real Time web. We'll discuss why the next big sea-change in Big Data will be focused on real-time analytics, and why this is critical for delivering compelling user experiences based on Consumer Intelligence.

    At 2:50pm to 3:00pm, Wednesday 21st March

  • Underwriting for the Underbanked Through Data Mining

    by DouglasMerrill and Mathew Ingram

    ZestCash uses online data to help determine the credit worthiness of new customers, offering a more modern way of underwriting for the underbanked. Instead of relying on tools like FICO scores, ZestCash pulls in a wealth of data to help rank a person’s likelihood of defaulting. Using data like cell phone bill payments or the length of stay at a residence help provide a fuller picture about a person’s ability to pay off loans and enables ZestCash to redefine an underserved and often exploited consumer segment.

    At 3:00pm to 3:15pm, Wednesday 21st March

  • Big Data: An Augmented Intelligence for Strategic Decision Making

    by Quid, Inc.

    Humans by nature are not well adapted to consuming millions of rows of numbers in a spreadsheet to make time critical decisions. We need to create new ways for humans to interact with Big Data and make complex decisions. Images are much better for quickly understanding large volumes of information. Hear how you can take unstructured data, process and annotate it to create mathematical models, which in turn are used to drive a visualization platform for decision makers.

    At 3:15pm to 3:30pm, Wednesday 21st March

  • Amplidata Sponsor Workshop

    At 3:45pm to 4:30pm, Wednesday 21st March

  • Rainstor Sponsor Workshop

    At 3:45pm to 4:30pm, Wednesday 21st March

  • Splunk Sponsor Workshop

    At 3:45pm to 4:30pm, Wednesday 21st March

  • 600 Exabytes and Rising: The Future Challenges for Data Centers

    by George Slessman, Edward Newman, Stacey Higginbotham, Lane Patterson and Jim Smith

    The Journal of Science calculated that this year the world is expected to house about 600 exabytes. Where does this data reside? And how will you keep up with this exponential growth? Leaders from the largest data center and storage providers in the world will join together on one panel to discuss how data centers will evolve over the next 18 months.

    At 4:30pm to 5:10pm, Wednesday 21st March

  • Overcoming Fear of Trying

    by John Lucker

    One of the biggest hindrances to companies obtaining benefits from their business analytics initiatives is the impact of behavioral economic factors and cognitive biases within many organizations. Organizational inertia, “tribal wisdoms,” fear of change, and imprecise or incorrect assumptions can compound to inhibit value creation, profit maximization, innovation and efficiency. Hear some of the primary factors organizations must combat and methods to overcome these issues to ensure new and ongoing success with business analytics.

    At 5:10pm to 5:25pm, Wednesday 21st March

  • Big Ideas

    by Chris Burrage

    Without Big Ideas, big data is a big back hole for industry. We bring you a curated selection of speakers and companies to present their shining new innovations to you.

    At 5:25pm to 5:35pm, Wednesday 21st March