Schedule

OPENING REMARKS

Fail Whale to investing: emerging application patterns

After successful runs with both Microsoft and Palm and after being an entrepreneur, Michael Abbott joined Twitter with the task of killing the infamous Fail Whale. He managed to do just that, while simultaneously scaling from 55 million tweets per day to 230 million tweets at his departure. Abbott is an engineering leader who now has taken a seat at the other side of the table and is investing with Kleiner Perkins Caufield & Byers. Find out application and infrastructure trends that Abbott is seeing as an investor, given his unique and high-profile background.

Augmenting algorithms with human input

Eric Berlow is a leading researcher in the field of complex systems in ecology. In this talk he covers how he is innovating new ways to combine human intelligence with computer algorithms to attack complex problems in a shorter time frame.

Where is the big data industry going?

In this talk, industry thought leader Sean Gourley discusses the future of big data, the major trends that will shape it and the products supplied to you and your company.

10:45 AM - Microsoft Sponsor Workshop - Oceanic Suite

Tools to turn emergencies into knowledge: turning 911 into 411

It is expected to be the worst flu outbreak in years, but this type of epidemic can be recognized and tracked earlier with the right tools. Ascribe, a leading supplier of clinically focused IT solutions and Microsoft partner, is using Microsoft’s big data solutions to turn emergencies into actionable data.

10:45 AM - Platfora Sponsor Workshop - Aquitania East Suite

Exploring the Hadoop data reservoir, lessons from practitioners

The world is going through a data awakening and enterprises are looking for ways to get the most out of their data. Hadoop has emerged as an inexpensive, efficient, and scalable central repository, or “data reservoir." Learn how organizations enact this vision to access and explore all data, without limitation.

Improving your primary product with big data insights

Aetna is a model company for its pioneering work using big data, from analyzing insights to improving its patient care and lower operational costs, to creating the first foundations of innovations such as individual medicine. This is a must-attend talk to learn the technologies, practices and strategies that could be applied to your business, too.

The CIA's "grand challenges" with big data

Sensors, agents and an Internet of Things are all producing data, all of the time. It would be a vast understatement to say that the CIA has experience in acquiring, handling and analyzing big quantities of data. In this talk, the CTO of the CIA will talk about the scale of the problems his team deals with now, the coming inflection point in the increase in data, the grand challenges we face and why an emphasis on analytics is critical for the future. This is a talk not to be missed.

1:05 PM - IBM Sponsor Workshop - Oceanic Suite

The big deal about big data: how to boost your analytics IQ

IBM has worked with hundreds of clients to identify the highest impact big data analytics use cases. Learn from the author of “Harnessing the Power of Big Data” about these use cases and the technologies needed to turn big data into a competitive advantage.

1:05 PM - Mu Sigma Sponsor Workshop - Aquitania East Suite

Leveraging big data to drive customer acquisition and loyalty

Analytics based on actual purchase trends trumps methods using simple demographic data. This session will focus on MasterCard's anonymous and aggregated consumer purchase data and Mu Sigma’s analytics aptitude to show how data enrichment is being incorporated into business decisions such as location expansion, benchmarking to competitors, and defining "best" customers.

Innovating algorithms through human competition

Cracking the clever algorithm is an unbeatable business advantage, the new secret recipe of the IT age. Competitions have shown to be powerful mechanisms for enterprises to employ to create rapid innovations in a solution space at a fast rate and very low cost. In this session we talk to a leading data scientist and a leading business school academic about their innovations for groups like NASA and Fortune 500 companies.

Big data bottlenecks: what we need to be aware of

We discuss technology limits, processes and the decision legacies of the past. We sit down with the two leading scientists who coined the phrase "data science" and pioneered the field at Facebook and LinkedIn to get a survey of the issues they see impeding the progress of data science in the near term. Don't miss it!

Active networks: thinking beyond just advertising for machine learning

Machine learning over large data stores to serve up ads inside social networks is hardly new. But what if those systems instead focused on creating high-value human networks to coordinate action and solve problems? Hear from industry experts who are building a new generation of big data learning for purposeful, active networks.

3:45 PM - Basho Technologies Sponsor Workshop - Oceanic Suite

Volume, velocity and variety of data in the wild

Every organization has unique requirements, and selecting the right technologies is critical to turning the "volume, velocity and variety" of data into revenue. Hear stories, knowledge, and insight from an expert panel on what storage and analytics systems they are running in production, and how their decisions impact company success.

3:45 PM - Splunk Sponsor Workshop - Aquitania East Suite

How ADP turns big data into real-time operational insights

Machine data contains a critical record of activity, from customer transactions to device usage. In this talk, Automatic Data Processing (ADP), one of the world’s leading human resources and payroll outsourcing solutions, describes how it uses big data to drive superior customer experience and a 360 degree view of mobile services.

Creating data sharing ecosystems

The technology industry continues to innovate ways to store and secure your masses of data. But what about sharing with your customers and suppliers? What are the principles and practices that you can employ to create successful data-sharing ecosystems that make the data more useful and improve the business context all around? We'll examine the current problems and where the future areas of opportunity lie.

CLOSING REMARKS

REGISTRATION & BREAKFAST

Machine learning and language — just a hop away from the enterprise evolutionary leap

Conversational user interfaces and natural language processing are now possible. By applying a mix of machine learning and the manual task of defining what some of the information means, enterprises and consumer online services can democratize access to deep repositories of knowledge. They take information locked up in documents and databases and start to construct that semi-nebulous concept called the semantic web that allows user to having meaningful interactions using natural language. This panel will examine how products such as Siri, Nuance, and Watson build on common technologies despite the very different jobs they solve.

Seeing everything to get ready for anything: capacity planning at scale

Do you have a problem planning for future infrastructure needs? Deciding on what to buy and what capacity to provision for? Then you should attend this session, where we examine the stories of four people with some of the most extreme use cases on the planet. Come listen and learn from those with responsibility for the biggest purse strings.

Motion, context and integrating intelligence

The world is getting more complicated and more integrated. Understanding and measuring movement — of people, of ideas, of technology, of ideology, of money, of weapons — is more important than ever. New ways to collect, analyze and exploit data are key to safeguarding national security.

11:00 AM - Hadapt Sponsor Workshop - Oceanic Suite

'Invisible loading' unifies data sources while optimizing performance

Hadapt enables the productization of interactive applications on Hadoop for the enterprise. With capabilities such as “invisible loading”, whereby data is persisted into Hadapt with negligible disruption to the cluster's ongoing user workloads, Hadapt is accelerating Hadoop into production as a mission-critical data management and analytics platform.

11:00 AM - Juniper Networks Sponsor Workshop - Aquitania East Suite

Cloud service automation for scale-out architectures

Cloud computing and web applications have fundamentally re-defined networked platforms. Dynamic software systems are required to orchestrate and automate real-time converged systems which must collect, analyze and capitalize on new sources of user and machine data.

Why you should never ask, "How is this better than Hadoop?"

The CTO at Basho will explain why you really don't need a big data strategy. The talk will discuss typical decision-making approaches for technology acquisition and what both users and builders of software and systems can do to improve these approaches so the right technologies and solutions are delivered to solve the right problems.

The DB and the index: why our need for search is shaping our technology

Common thinking says that if you have your data in a database then the need to create a separate index is nullified. Technology thought leader Grant Ingersoll explores why the need for Google-style search is affecting our usage cases and shares his thoughts on the right technologies to explore.

LUNCH

(Optional Sponsored Workshops)

1:30 PM - MapR Technologies Sponsor Workshop - Aquitania West Suite

Raise the bar with Hadoop

Leading companies have improved profitability, increased revenue and increased their competitive position by better leveraging untapped data sources. This presentation details case studies and reference architectures that demonstrate how companies have generated big data insights with less infrastructure costs including the integration of Hadoop and NoSQL (HBase) on one platform.

Think different, think signal processing: approaches to real-time network data

Guavus is undergoing explosive growth with its novel way of network and infrastructure monitoring. Founder Anukool Lakhina talks about his Ph.D. research that led to the formation of Guavus and why we should be thinking as differently as possible to explore the best solutions in the big data space.

Complementing Hadoop with real-time data analysis

We are moving toward an era where batch processing of large amounts of data is no longer sufficient for providing data services. Real-time analytics is a challenging problem to solve, especially when done at scale. At Eventbrite, discovery products like event recommendations and search require immediate data capture. Customers want real-time reports of their events, and internally, the team has real-time data needs for tracking company metrics. In this talk, Vipul Sharma, the director of data engineering at Eventbrite, will go through different techniques he is using to complement Hadoop for more-real-time data processing, and he will discuss various key innovations in the data industry in this area.

3:35 PM - Teradata Sponsor Workshop - Oceanic Suite

Data discovery: finding expected and completely unexpected business value in data

Do you know what questions to ask of your data? How to discover what your customers care about or how to identify fraud or prevent customer churn? By using a hybrid of SQL, MapReduce, R and other analytic techniques in an integrated data discovery platform, leading companies are getting answers.

Analytics at NASDAQ scale

In this talk Ann Neidenbach, the SVP of Analytics at NASDAQ OMX, explains her choices when it comes to infrastructure and her strategies for delivering customers the insights they seek. Learn how business requirements are shaping her choices now and what that means for business leaders of the future.

CLOSING REMARKS