08:00–08:50

Registration and Exhibition

Main Conference: Big Data, Deep Analytics and Smart Business

08:50–09:10

Big Data: Augmented Intelligence for Business Decision Making
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.

09:10–10:40

Structuring Insights from Unstructured Data
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.

Realizing Real-Time Value on the Real-Time Data
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.

Implementing Enterprise Information Governance With Big Data Management to Support BI
There are many BI programs, and many of these wrestle with managing
hierarchies and dimensions for reuse. There are few BI programs with effective information governance, but there is growing interest among organizations on how to align BI (downstream) with effective information governance (upstream).

10:40–11:10

Panel
How to Succeed with Deep Analytics for Big Data
Leading-edge organization today are looking beyond traditional business intelligence and data analysis to exploit new sources of information generated by online customer behavior, social networks, sensors, smart phones and tablets, and other systems. These large, often highly detailed “big data” volumes have great potential for generating competitive advantages if organizations can effectively access and analyze them. 

10:40–10:50

Coffee Break | Exhibition | Networking

10:50–12:20

Memory Computing: The Big Data Application Accelerant
Big data isn't just big - it's messy. CIOs are faced with the daunting task of unlocking the value of their data efficiently in the time-frame required to make accurate decisions.

Connecting Millions of Mobile Devices to the Cloud
Mobile devices offer boundless opportunities for collection and presentation of temporally- and spatially-relevant data. But there are obstacles: intermittent connectivity as well as processing, storage and other constraints. 

Enterprise Next: How Social Data Will Shape the Enterprise
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.

12:20–12:50

Panel
Optimizing Business Outcomes With Trusted Big Data
Interest in Big Data Management continues to grow, independent of economic conditions. It is a different way to manage enterprise information as an asset, and it enables so many other efforts in IT and in the business.

12:50–14:00

Lunch, Exhibition and Networking

Track A: Technology and Innovation

Track B: Business Value

14:00–16:00

Finding the Right Analytical Platform for Your Company
Businesses have many choices when it comes to implementing deep analytics for big data. In the last few years, the technology market has witnessed a major expansion with new technologies for columnar databases. We are seeing the market consolidate as startups are acquired by larger vendors.

Getting the Most from Your Hadoop Big Data Cluster
This session looks at the requirements for a multi-tenant big data cluster: one where different lines of businesses, different projects, and multiple applications can be run with assured SLAs, resulting in higher utilization and ROI for these clusters.

Big Data and High Performance Analytics
The exploding volume, variety and velocity of big data present an increasing data management challenge to organizations, but also a significant opportunity to derive deeper insights. As organizations come to grips with managing big data, it’s clear that the value will be derived from the analytics that can be performed on it.

Data Science in Product Development
Data science applied in engineering driven industries is revolutionizing how highly complex products are developed. Unprecedented access to computing power combined with advanced data science tools provide the opportunity to not only increase the speed of development but also improve the final design.

Machine Learning's Impact on Business Models and Industry Structures
Big Data is putting a premium on insight and the speed of turning that insight into actionable decisions. Today's analytics require human experts to ask the right questions.

Big Data Big Costs?
We will talk about costs involved in Big Data projects, covering the apparent and also hidden aspects of these costs. It will also discuss how to build a Big Data solution with lower cost of “per TB Data Managed and Analyzed”

16:00–16:30

Panel
Hadoop in the Enterprise
Panel participants will work directly with some of the leading thinkers in the cloud space to identify/weight major disruption vectors in the Hadoop and enterprise space; evaluate key players in the startup and establishment spheres; produce a predictive analysis of likely disruptors and disrupted companies; and establish actionable next steps.

Panel
Creating Business Value Now from Big Data
Machine-generated big data contains a goldmine of intelligence useful for IT and business, but remains largely untapped. Using real-world examples, this session examines how organizations are laying the groundwork for success and demonstrates the operational value that’s possible from this important source of information.

Track C: Industry Application

Track D: Stratety and Trends

14:00–16:00

Big Data Meets Big Weather
Due to recent advancements in Big Data, cloud computing, and network maturity it's now possible to work with extremely large weather-related data sets. We will discuss how to apply big data principles to the real-world challenge of protecting people and businesses from the financial impact of weather.

The Next Evolution in Big Data Analytics
Data Scientists must deal with many Big Data challenges including volume, velocity and variety of data. These challenges require a new solution - Automated Understanding - a new evolution in software. 

Architecting Virtualized Infrastructure for Big Data
How do you architect big data systems that leverage virtualization and platform as a service? We will walk through a layered approach to building a unified analytics platform using virtualization, provisioning tools and platform as a service.

From Big Data to Big Insights
The ultimate utility of Big Data is transforming it into Big Insights. Charts, graphs, and tables of aggregated data are useful but still require interpretation by the end user. With advances in linguistic algorithms and data processing it is now possible to derive meaningful insights from data and present them in digestible narrative content.

Big DNA Data in the Cloud
As DNA sequencing becomes increasingly affordable and accessible, the massive amount of genomics data represents opportunities to advance personal medicine. But how do you share a data set so incredibly big? In this talk we explore how a cloud data platform strategy will rapidly enable the sharing and analysis of the world’s DNA data with the innovators who need it most.

How to Sell Multidomain Big Data Management to the Business
Many IT organizations struggle to convey the transformational business benefits of implementing Big Data Management across multiple data domains, some even after a successful first domain implementation. Learn how successful IT teams persuade their business partners to take Big Data Management to the next level.

16:00–16:30

Panel
The Future Challenges for Data Centers
The Journal of Science calculated that this year the world is expected to house about 600 exabytes of data. Where does this data reside? And how will you keep up with this exponential growth?

Panel
Mining the Oil of the 21st Century
“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.

16:30–17:00

Exhibition, Networking and Demonstration