Big Data Summit

A forum for innovative IT thought leaders

C-level executives in every industry are faced with large amounts of data, which can be viewed as both a burden and an opportunity. Executives tasked with overseeing company data must strike a balance between everyday data management tasks and effectively leveraging data through analytics and analysis.

The Big Data Summit is a unique opportunity for C-level executives involved in data storage, data management and data analysis to gather and discuss how companies can effectively manage, protect and leverage the growing amounts of data in the enterprise. With a focus on best practices, the event will allow attendees to explore strategies and technologies surrounding real-time data processing, data protection and privacy, meeting industry regulations and compliance, and data storage.

Attendees will learn about key aspects of big data and its capabilities through a unique blend of focused CIO Think Tanks, Executive Visions panel discussions, Analyst Q&As, visionary Keynote Presentations and networking breaks, technology executives will share insight and gain critical takeaways.

Here are a few of this year's discussion topics:

  • The Economics of Data
  • Driving Big Data Business Value by Accelerating Time-to-Answer (TTA)
  • Big Data in Social Media
  • Let the Data Decide: Predictive Analytics in Healthcare

We at CDM Media know that in order for you to take time out of the office, it must be time well spent. The Big Data Summit agenda offers a balanced schedule that will maximize your time and efforts, providing you with ideas and strategies truly capable of changing business practices.

Take advantage of this unique opportunity to get big data issues out on the table, make your voice heard and collaborate with peers on real solutions for your organization.

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Whitepapers

Get the Maximum Value Out of Your Big Data Initiative Companies have been striving to harness and leverage the power of their data assets for decades. Now major U.S. corporations and government agencies are finally realizing business value from Big Data. That is the finding of a survey and series of follow-up interviews conducted by NewVantage Partners with C-level executives and function heads representing companies and government agencies during the second half of 2012.

Solution Brief Market Sensing: Discovering important relationships in financial data to reduce risk and maximize gains Financial markets are rarely predictable. What moves a price one day might have no effect the next, or it might be felt several steps away from where it’s expected. That’s where market sensing plays a role. Broadly defined, Market Sensing is the ability to bring as much relevant information as possible, to bear on trading and risk decision-making.

Multi-Datacenter Replication : A Technical Overview & Use Cases Multi-datacenter replication is a critical part of modern infrastructure, providing essential business benefits for enterprise applications, platforms, and services. Riak Enterprise offers multi-datacenter replication features so that data stored in Riak can be replicated to multiple sites. With Riak Enterprise, data can be replicated across locations and geographic areas, providing disaster recovery, data locality, compliance with regulatory requirements, the ability to “burst” peak loads into public cloud infrastructure, and more.

The disruptive power of Big Data Harvard Business Review says 2.5 exabytes (billion gigabytes) of data are created every day.1 It’s no wonder. In that same day, Facebook users share 1 billion pieces of content, and Twitter users generate more than 200 million tweets. Two million users access the Internet to search and buy, leaving behind click streams, comments, and product reviews. Corporate data has also blossomed to almost unmanageable volumes. Walmart processes more than 1 million customer transactions every hour.2 And smaller enterprises roll out new applications in every part of their business, each of which collects vast amounts of new information. So much data is available that the information technology (IT) industry has spawned a new term to describe it: “Big Data.”

Big Data for Big Industries There is a new universe of data being created by smart meters, mobile devices, social media, RFID, web logs, and other sources. Meanwhile, many industries have only begun exiting the paper-based documentation era. It’s no longer the case that all possible insights about an organization come only from a structured data warehouse full of vetted data developed inside one’s own four walls. Embracing big data means accepting that you can gain valuable insights about your organization, your customers, and the world at large from external sources, and by looking at data in a new way.

Executive Content

Big Data and Analytics_IBM As new expertise and innovations in software and integrated systems make the analysis of Big Data more accessible, these leaders are gaining a greater competitive advantage in the era of "smart."

The Challenges and Rewards of Big Data In this one-on-one interview, Rich Brueckner, President of insideHPC, discusses big data challenges and opportunities, as well as what technologies will help companies deal with their growing amounts of data. InsideHPC is a CIO Summit, CIO Cloud Summit, and CIO Life Sciences Summit event partner.

The Power of Zoom Transforming government through location intelligence The power of zoom represents an evolution in the way government sees and interacts with the world. When location data is coupled with existing government data and expertise, every point on the map can provide historical and predictive perspective to inform complex policy decisions. The map itself has been transformed from a static picture to a living platform for shared decision making and real-time collaboration, focusing the energy of the crowd and empowering government and citizens to work together to respond quickly to challenges at any scale.

How 'Big Data' is Different How 'Big Data' Is Different. These days, lots of people in business are talking about

Analytic Databases for Big Data According to TDWI Research’s 2011 Big Data Analytics Survey, 33% of surveyed organizations are contemplating a replacement of their analytic databases, data warehouses, and similar platforms to keep pace with new and intensifying requirements for advanced analytics in a “big data” world. As user organizations make such platform replacements—or add additional platforms to their expanding data warehouse architectures—they are turning more and more to specialized analytic database management systems (DBMSs).

 
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