McKinsey consulting predicts a shortage of 140,000 data scientists in the US by 2018, and a shortage of 1.5 Million jobs. The executives, managers, and business users who make decisions based on the data.
Everyone is talking about Big Data. What is it? How can you leverage data to make better decisions across the enterprise? How well-positioned is your organization to take advantage of Big Data? What do you really need to get started? Who are all these vendors knocking at your door? These are some of the questions executives are asking about this emerging trend. Our 2-day event has been developed specifically for the decision-making executive, and will address the questions everyone is asking. Anyone with an interest in Big Data is welcome, but our focus will be on the application of Big Data rather than on the clusters, data warehouses, and coding that support it.
CEO, CTO, CIO, CMO, CSO, CXO, VP, Decision-makers. Business Executives. Analysts. Project managers. Analytics managers. Sales, marketing, human resources and other line-of-business executives. Risk management staff. Technology executives. Business strategists and consultants. Entrepreneurs. Anyone with an interest in learning more about Big Data.
Cut through the noise and interact with knowledgeable Big Data practitioners. Understand what it takes to get Big Data projects off the ground internally. Network with your peers in an open, professional environment. Learn about Big Data technology from a vendor-agnostic organization. Understand costs and ROI. Hear real case studies from Big Data experts. Witness Big Data technology in action during our hands-on lab sessions. Learn from data scientists and hear from seasoned practitioners in the industry. Learn how to recruit and retain data scientists. Learn how to decide whether to insource or outsource your big data projects. Determine how to set your big data strategy. Understand the language of big data.
Hilton crystal city at Washington reagan National airport, 2399 Jefferson Davis Hwy | Arlington, VA 22202 | USA (map)
|7:30AM - 8:15 AM||Registration & Networking|
|8:15AM - 8:30 AM||Introductions and Goal Setting
Overview of Big Data for Executives, covering the purpose of the event, reviewing the agenda, establishing ground rules, and answering participant questions. Time-permitting, attendees will introduce themselves and share what they would like to learn during the two-day event. These goals will then be shared with our speakers so that they may tailor their presentations to the interests of participants.
|8:30 AM - 9:10 AM||The cost of inaction: an executive introduction to Big Data( Keynote Speaker: Dr Satyam Priyadarshy, Chief Data Scientist, Halliburton)
A high-level overview of Big Data from the perspective of business executive, focusing on the opportunity costs associated with standing by while the competition makes a big data play.
|9:10AM - 9:50AM||What, Why and How Much?(Tony Shan, Enterprise Architect, CTS)
Introduction to key concepts and components of Big Data, including parallel processing, clustering, machine learning, analytics, the cloud, hardware, software, and how these can be aligned to bring about real insights from big data.
|9:50AM - 10:00AM||Morning break / networking|
|10:00AM - 10:30AM||Hadoop-Enabled Business Intelligence Use Cases(Ankur Gupta, Director, Sears)|
|10:00AM - 10:30AM||Building Big Data Team(Michael Li, Data Scientist, FourSquare)|
|11:00 AM - 12:00PM||An industry in flux - the Shifting Vendor Landscape(Amrith Kumar, CTO, Tesora)
A high-level overview of current Big Data technologies using the well-publicized Big Data landscape presentation. We will cover infrastructure, Analytics, Applications, Data Sources, Cross-infrastructure, and open source projects
|12:00 PM - 1:00PM||Lunch Break|
|1:00PM - 2:00PM||Put Down That Checkbook! - Big Data without the Big Bucks(Charlie Greenbacker, Director, Altamira Technologies Corporation)
Hiring data scientists sure is expensive. One way to afford top talent is to stop throwing your money away on costly "big data" software that over-promises and under-delivers. This talk will offer an opinionated definition of data science, argue why free & open source software is usually the right choice for data scientists, and describe some of the leading free & open source software tools for data science available today
|2:00PM - 2:30PM||Delivering Insights to the right person, at the right time, in the right manner(Anand S Rao, Partner, PWC)
In this talk we look at how Financial Services companies are using advanced analytics and big data to make strategic and operational decisions; aiding executives, field staff, and consumers to take the right actions at the right time. The talk will cover the key trends in information and analytics, the disruptions and business model changes caused by these trends, and how financial service providers are reacting to them. We will illustrate these through a number of examples in the financial services industry.
|2:30PM - 3:00PM||How to shape project goals (Natalie Robb, Founder, WaveLength Market Analytics)
What’s the best way to begin a Big Data project? Is it with analytics infrastructure or with analytics? Starting a Big Data project requires 2 key components – data and a goal. In this session, veteran data analyst for telecom and technology companies, Natalie Robb of WaveLength Market Analytics, talks about how to start projects and how to make them bloom into critical business assets. Specifically, using case studies, she illustrates the virtuous circle of the data, the goal, analytics, more data, more goals, and then finally analytics infrastructure and processes.
|3:00PM - 3:30PM||Coffee break / networking|
|3:30PM - 4:45PM||Now what? - Where to Big Data concepts to your business(Charles Scyphers, Big Data Architect, Oracle)
Illustrate the how, where, and why of harnessing business data for better business performance. An introduction to big data opportunities in finance, the supply chain, operations, and sales/marketing. We will also cover the concepts of data mining, predictive analytics, clustering, and other common tools and techniques that are practiced in every industry.
|4:45PM - 6:00PM||
Who are all these vendors? - Panel Discussion
|8:00 AM - 8:20 AM||Coffee/networking|
|8:20 AM - 8:30 AM||Recap of previous day’s learning and questions that have come from the day’s event|
|8:30 AM - 9:30 AM||Thinking dynamically about the rapid pace of innovation in Big Data, when designing analytic systems(Jean-Bernard Moens, Founder & CTO, Mckinsey Solutions)|
|9:30 AM - 10:30AM||Setting Sail: How to develop your strategy and build your business case(Imran Siddiqi, Principal, SAP America)
Discussion of key business issues related to launching a big data initiative. Explore the political considerations of bringing about data-driven decision-making internally.
|10:30 AM - 11:00 AM||Coffee/networking|
|11:00 AM - 12:00 PM||In-house? Contracted? Outsourced? Building your team and getting results
Qasim Mueen(CEO, Zigron)
Prasun Sinha(Director, IMPETUS TECHNOLOGIES)
Sean Gonzalez(Founder, Data Community DC) - Moderator
An overview of the different methods companies employ to carry out their big data initiatives using these three primary engagement models
|1:00 PM - 1:45 PM||
Predictive Analytics to Support Healthcare
|1:45 PM - 2:30 PM||Revolutionizing Weather Intelligence(Bill Pardue, CEO, Weather Analytics)
|2:30PM - 3:15 PM||Needle in the hay – Finding, motivating, and retaining big data talent(
Prabakaran Murugaiah(CEO, Techfetch)
‘Data Scientist’ has been referred to as the sexiest job title of the decade. Where will you find yours? How many do you need? How will you measure their capabilities? How are they motivated? What are typical salaries?
|3:15PM - 3:30PM||Coffee break / networking|
|3:30 PM - 4:30 PM||Putting it all together – Strategize, build support, invest, implement, measure(Ajay Bhargava, Big Data Director, TCS)
A recap of all concepts and applications with systematic 1-2-3 step strategies for launching your initiative internally and leveraging big data. Facilitated discussion around attendees’ own ideas and experience from their organizations
|4:30 PM - 6:00 PM||
Industry vertical use cases : Panel Discussion
NOTE: Agenda and speakers subject to change without notice