Data Visualization Summit

Influence Decisions With Data Visualization

April 28 & 29, 2015San Jose Convention Center, San Jose

Confirmed Speakers

• Senior Data Visualization Engineer, Netflix• Data Visualization Engineer, Facebook• Computer Scientist, NASA• Data Scientist, Pinterest• Head of HR Systems & Data Analytics, Tesla Motors• Director, Creative Design, MIT• Engineering Manager, Pinterest• Data Visualization Developer, National Heritage Academies• Director, Social Media Research Society• Senior Designer, Data Visualization, Microsoft Office• Data Visualization Specialist, New York City Economic Development Corporation• Data Visualization Engineer, The New York Times• Data Viz Evangelist, Caterpillar• Data Visualization Engineer, Logitech• Data Visualization Fellow, Center for International Development at Harvard• Data Visualization Guru, Veterans Transformation Center• Data & Visualization Specialist, WWF• Director, Software Engineering, Pacific Biosciences• Experience Architect, Salesforce• Manager, Data Labs, Stitch Fix• Vice President, BI & Market Insights, Western Union• BI Developer, HomeAway• Lead HR Analyst, Tesla Motors• Data Viz Engineer, Capital One• Senior Manager, BI Engineering, Groupon

Confirmed Speakers

F TI L

1

Previous Delegates Include

• Senior Architecht - Nokia

• Senior Data Scientist - Nasa

• Lead Data Analyst - Google

• Director, Advanced Analytics - Nike

• SVP Research - NBC Universal

• Director, Data Visualization - Yahoo!

Who Will You Meet?There is no question that IE. provides the g o l d s t a n d a r d e v e n t w i t h i n D a t a Visualization, helping you connect with decision makers. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

Data visualization greatly enhances not only data comprehension, but it allows for a greater coverage of trends and patterns within structured & unstructured data.

The Data Visualization Summit brings together leaders and experts in the field to   explain and clarify the numerous benefits of using data visualization. One of the top benefits is that data becomes easier to understand, more accessible and presented in a format that helps people better interact with the data as well as analyze it.

Typically data is used for mining and reporting, however there are new sets of data visualization tools that can take your analysis to a whole new level. This has made it possible to quickly understand trends, patterns, and outliers that would not have been noticed with traditional tools.

The Data Visualization Summit will run concurrently with the Big Data Innovation Summit to provide fantastic networking opportunities.

About The Summit

Confirmed Speaker Information

Krishna Gade is the engineering manager for the data team at Pinterest. His team builds core data infrastructure to enable data driven products and insights for Pinterest. They also get to work on some of the cutting edge big data technologies like Kafka, Hadoop, Storm, Redshift etc. Before Pinterest, Krishna lead the data infrastructure team at Twitter where he worked on distributed caching and stream processing.

 Chunyan Wang is a Software Engineer of the data team at Pinterest. He is mostly working on big data analytics and data infrastructure. Before Pinterest,  Chunyan  earned his PhD from Stanford.

Scalable A/B experiments at Pinterest

A/B Experiment is a form of randomized test that many companies use to make data driven decisions. At Pinterest, we have hundreds of A/B experiments running at the same time each day for the launch of new product features, and also improving quality and user engagements. In this talk, we describe how we built a scalable system to process and visualize A/B experiment metrics. We designed the framework in such a way that it is extensible and generic enough to support different kinds of cohort/segmented analysis, and at the same time to scale for large amounts of data generated by ever increasing number of experiments, users and metrics to track. We will also cover some of the challenges we faced in building and deploying this system to production.

Krishna Grade & Chunyan WangData Scientist & Engineering ManagerPinterest

Boryana Dineva is leading the HR Analytics, HR Information Systems and HR Operation teams at Tesla. With a degree in economics from UC Berkeley, Boryana drove an innovative organizational design at Tesla that converges data warehousing, systems and data structures, predictive analytics, and the art of data presentation into an operational powerhouse.   She was instrumental in building an analytics team at Tesla that has emerged as a proactive consulting force providing invaluable and actionable data to scale the company. The team has revolutionized the way the HR organization positions itself within the business by unleashing the power of people data.

Boryana DinevaHead of HR Operations & Data AnalyticsTesla Motors

Charlie Guthrie is a data scientist and data visualization engineer. His work focuses on how best to communicate data science insights through visualization. At the New York Times, he has been building and maintaining up-to-date dashboard visualizations for tracking key business performance indicators and real-time audience behavior. Prior to the New York Times, Charlie was on the data science team at Dstillery, a targeted online advertising firm.   A former school teacher, Charlie has always enjoyed the challenge of explaining difficult concepts. He is a former office ping pong champion, rock climber, and avid ultimate frisbee and soccer player.

Skip the Meeting, Use a Dashboard

Too often, communicating analytics is a tedious and time-consuming process, involving manually-prepared reports and weekly status meetings where few new insights are gained. We can free up analyst resources, however, by providing simple tools to empower the decision-makers to answer their questions themselves. In his talk, Charlie will share his experience in improving this process with customized visualizations and automated, interactive dashboards. The talk will focus on recommendations on dashboard design - noting that dashboards are not always appropriate - and keeping in mind Ben Shneiderman’s mantra: “Overview first, zoom and filter, then details-on-demand”.  

Charlie GuthrieData Visualization EngineerThe New York Times

Romain Vuillemot is a Research Fellow at Harvard University. He leads the Research and Development team of The At las of Economic Complex ity (http://atlas.cid.harvard.edu) at the Center for International Development there. Romain designs novel interactive visualizations for specific application domains such as macro-economics or soccer. He is also interested in more fundamental research on dynamic and streaming data representation. In parallel Romain, strives to make visualization more accessible and casual for diverse audiences. Romain holds a PhD in Computer Science from INSA (Lyon, France) and was a post-doc in the AVIZ group at INRIA (Paris, France) before joining Harvard.

The Atlas of Economic Complexity

In this talk, I will present The Atlas of Economic Complexity (http://atlas.cid.harvard.edu/), a powerful   interactive tool that enables economists, policymakers   and citizens to visualize a country’s total trade, track how these dynamics change over time and explore growth   opportunities for more than a hundred countries   worldwide. The Atlas features tree maps, stacked graphs   and node-links diagrams, among cutting edge   visualizations and interactions. The Atlas is also a   research platform for economists as well as visualization   researchers. This talk will address both design and  technical challenges coming when building and   maintaining a visualization platform for the masses, at the web scale.

Romain VuillemotData Visualization FellowCenter for International Dev. at Harvard

Evan Roberts leads the visualization team within BI and the Tableau COE. His work spans company wide, working with multiple teams on raising the level of visualization in Logitech.   In addition to creating dashboard solutions for departments, his team heads global training on the tools and concepts of visualization.   Before starting the visualization team, Evan managed worldwide market analytics for the PC gaming division at Logitech.

Moving Users from Spreadsheets to Dashboards

Over the last two years, Logitech has gone through a transformation of how we leverage and utilize our data to make business decisions.  We have moved from a world of spreadsheets and tabular reports to a large Tableau user group and dedicated visualization team.   During this process, much has been learned from our failures and successes about key components needed to raise the visualization ability within an organization. Let us share our learning about how to start the process of moving an organization towards the next level of visualization.

Evan RobertsSenior Data Visualization EngineerLogitech

Confirmed Speaker Information

Josh Rood is a mathematician turned visualizer working in education data at National Heritage Academies. At National Heritage Academies, he focuses on making testing data accessible for teachers and school leaders through D3.js and Tableau. The core of his visualizations are driving quick and clear understanding and leading to thorough investigation just underneath the surface.

Necessary Uncertainty: Visual Display of Error in Education

Education is a data rich environment, but not rich enough. Measuring the learning state and progress of 50,000 students efficiently requires imprecision.   However, the display of numbers or visualizations imply precise certainty. In the world of education, data visualization requires teachers and school leaders to understand and carry out action. Teachers take their knowledge of the students they teach, compare it to the data visualization and take action. It is vital to the data visualization’s relationship with the teacher that the confidence of its representation matches the confidence of the visual.

Josh RoodData Visualization EngineerNational Heritage Academies

Marc Knuth, Data Visualization Evangelist, leads the Data Visualization team within the Information Analytics group at Caterpillar Inc.   In this role, Marc works with a diverse group of global business partners throughout the Enterprise advocating and teaching visualization best practices and techniques, as well as designing and implementing dashboard solutions. His passion lies in delivering complex concepts in a simplified manner by taking advantage of “human factors” in his data visualization designs.   When not trying to visualize everything data-related, Marc enjoys spending his time as a runner, scuba diver and world traveler.

Building a Road to Data Visualization

Imagine having only five minutes to make a decision after receiving a report in the form of a massive spreadsheet, requiring you to sift through rows and rows of data to find the information you need. This isn’t uncommon for decision makers at any level in a company who are expected to drive business growth. Marc will share how he combined data visualization techniques that focus on how people see data with awareness and training campaigns to transform Caterpillar's traditional approach to presenting information.

Marc KnuthData Visualization EvangelistCaterpillar

Elijah Meeks is a senior data visualization engineer at Netflix where he develops data visualization for internally facing applications. He is the author of D3.js in Action and was the technical lead on a variety of interactive scholarly works such as ORBIS (orbis.stanford.edu) and Kindred Britain (kindred.stanford.edu). His work in data visualization has included representing complex networks, geospatial data, algorithms and text.

Beyond Line and Pie Charts: Practical Applications of Complex Data Viz

While data visualization has grown in popularity, most of the business application still favors two kinds: charts familiar to everyone (such as pie charts or line charts) or map-based geospatial information visualization. While data viz tools and libraries provide access to more exotic methods, it can be hard to deploy them outside specific domains. This talk will focus on hierarchical data visualization and network visualization and will highlight the strengths and weaknesses of these methods, techniques for gently introducing these methods to potential stakeholders, and best practices for integrating them into data driven applications.

Elijah MeeksSenior Data Visualization EngineerNetflix

Confirmed Speaker Information

Kazuki Sakamoto explores geographic data to inform policy decisions. He is an assistant vice president at the New York City Economic Development Corporation, working on data visualization and spatial analysis. His portfolio includes Hurricane Sandy related resiliency re-development efforts, affordable housing initiatives, and Universal Pre-K rollout in NYC. Prior to joining NYCEDC, Kazuki received his MS from Columbia University, where he is now an adjunct assistant professor in the Urban Studies program. 

Mapping 311 Graffiti Complaints in NYC

New York City residents have access to non-emergency government services through the 311 program. The New York City Economic Development Corporation (NYCEDC) in conjunction with the New York City Department of Sanitation (DSNY) responds to individual 311 graffiti complaints. NYCEDC routes the 311 complaints, sends notices to property owners and then sends crews to clean the graffiti. In the office, geographic information systems add spatial analysis to inform policy makers involved with the program. Interactive mapping tools make it is possible to visualize where complaints have occurred over time. The tool allows the program to be more efficient, organizes the data to be easily accessible, and spurs discourse about the spatial patterns that were previously hidden. Interactive maps are indispensable storytelling tools, they explore spatial phenomena and empower the NYCEDC to better understand and respond to future 311 graffiti complaints.

Cory is an energetic Business Intelligence developer who has spent his career evangelizing Tableau Software. He has worked in a variety of roles, including consulting, training, and freelance work in the BI field. He currently works with HomeAway in Austin, Texas, and when he isn’t busy building dashboards at work, he uses them to dominate fantasy football leagues everywhere.

Data Viz Gone Wrong: What NOT to do

We all know that data is becoming increasingly more important in our everyday lives.   We are seeing more visualization every day: at work, in the media, and even on our phones!   Unfortunately, not everyone who visualizes their data does so effectively – or even correctly.   This discussion will focus on two types of visualizations:

Those that do not effectively get their message across to users

Those that potentially mislead their users

Of course, we won’t spend all our time screaming and shouting, we will also discuss visualization best practices and talk about how we can avoid these errors in our own work.

Daniel Oostra is a computer scientist working as a web developer and technical lead for the MY NASA DATA Project (http://mynasadata.larc.nasa.gov).   Daniel also leads development on a number of data rich applications for the Committee on Earth Observing Satellites and the Earth Systems, Technology and Energy Education for MUREP project.   Daniel’s team takes NASA data and creates visualizations, lessons, activities, and other materials for students, educators and citizen scientists.  When not trapped behind his laptop, Daniel plays guitar, creates mobile apps, snowboards and spends time with his six-year old son playing Minecraft.

Curating Satellite Data for Students, Educators, and Citizen Scientists

Data visualization hinges on one key aspect: its relevance to our users.   Our audiences are desperate for data that speaks to their needs and supports their research.  NASA has hundreds of thousands of gigabytes of data that are accessible, in theory, but how easy is it for the average person to navigate the varying interfaces, formats and ftp sites?   The MY NASA DATA project is focused on finding relevant data within NASA’s data centers and curating this data into a usable format for students, teachers, and citizen scientists to use within their explorations.   How do we empower our audiences with simple, easy to use tools that level the playing field with research scientists?  During this session we’ll examine the processes we are using to connect users to data, through the use of transformative processes and next generation tools that   allow users to extract real meaning from research-grade data. 

Daniel OostraComputer ScientistNASA

Kazuki Sakamoto Data Visualization SpecialistNew York Economic Development Corporation

Cory JezBI DeveloperHomeAway

Elias Fayad is leading a team of software engineers developing all things related to customer facing software for Pacific Biosciences' Single Molecule Real Time (SMRT™) DNA sequencing platform: user experience, device control, data acquisition & interchange, and visualization.  With degrees in Computer Engineering and Biomedical Engineering, Elias has been involved in software development, data mining and visualization projects for almost 20 years, from financial and insurance fraud detection, to genome variant calling, instrument control, and field performance trending.

Visualizing Field Instrument Trends: User Reports to User Support

Before IoT was such a hot topic, all PacBio instruments (DNA sequencing machines) were capable of calling home and reporting performance data.  Using a variety of data mining, analysis, and visualization tools (e.g. Python, R, d3js, and Tableau), we have developed dashboards and reports for internal and customer use, looking for field utilization trends in order for our supply chain to be ready with shipments, looking for performance trends, and attempting to predict if field support events may be about to occur. 

Carrie Stengel is a Data Visualization Specialist at the World Wildlife Fund who turns data into arguments for change. Prior to joining WWF Carrie worked on wildlife trade issues with the NGO TRAFFIC. Her background is in conservation, with a BA in Anthropology and a MSc in Primate Conservation that lead her into mapping and visualization. When she can get off her computer she goes for a hike with her dog Buster.

Can Tigers Predict the Future?

WWF uses data to communicate the most ambitious global wildlife goal ever set: Tx2, doubling wild tigers by 2022. Success may help answer questions on global warming, food security, economic and political stability - but is hinged on clear persuasive messaging that cuts across language barriers. Can we show a future for a species, can we show how to get there, can we show the significance for the future of our species?

Suyog works with Salesforce's largest and most complex enterprise customers as a hands-on user experience and product expert. Suyog   serves as a strategic advisor on data visualization and analytic information delivery for Salesforce Analytics Cloud- "Wave". In past, as a product designer, Suyog has worked on various analytics products - operational analytics, predictive analytics, mobile dashboards, reporting tools and BI.  

Great Paint Doesn’t Make Great Paintings; You Need Great Painters - Transitioning from User Experience to Customer Experience

I was part of the team that designed “Salesforce Wave”, A new analytics cloud released by Salesforce last year. Last year was filled with doing a lot of user experience work - building a great UX team, creating personas, doing user research, many brainstorming sessions, a lot of low-fi and high-fi prototypes and pixel perfect visual designs. After 15 months of design work, we released a product that we all were proud of. Our designs grabbed media attention, our team won design awards and we got great feedback from many users and colleagues. But then I was struck with the reality - great paint doesn’t make great paintings, you need great painters for that. I   have now moved into a new role that is a bridge between design and customer success. As an Experience Architect, I am now responsible for creating engaging end-user customer experiences.   My case study is about how and why I transitioned from user experience to customer experience. I will describe how this new role, which is a combination of business and design is helping me to become a better designer. We all know that design impacts the top line of balance sheets but in this new role, I can quantify that impact and I will discuss the details.   I was recently recognized as one of the top inventors at Salesforce. My case study will also describe my experience of moving from an innovation focused role to an execution focused role.

Suyog DeshpandeExperience ArchitectSalesforce

Elias FayadDirector, Software EngineeringPacific Biosciences

Carrie StengelData Visualization SpecialistWorld Wildlife Fund

Callie Neylan is an interaction designer, researcher, and writer. She is a senior designer at Microsoft Office, working on data visualization software. Prior to Microsoft, Callie was a full-time academic, teaching undergraduate and graduate courses in interaction and visual design while researching design and technology for the visually-impaired. She has also provided visual and interaction design for renowned design firms and non-profits including Gensler, Teague, and NPR.

Touching Data

Big data. Little data. Open data. Closed data.   In the absence of a pointer and mouse, how do we control data with our bodies? Is there a current gestural glossary for data manipulation? If so, what is it and how and where is it being used? What gestures are needed when authoring data versus consuming data? In this talk, I will summarize linguistic theory around language acquisition, considering how humans learn and teach sign language and present original research exploring how users manipulate data via immersive touch UIs. Data is categorized in various ways a n d a r t i c u l a t e d v i a i t s o w n s p e c i a l i z e d vocabulary:   aggregate, mash up, drill down, visualize, consume, explore, compare, highlight, slice, dice, analyze, filter, sort, focus, bubble up.   These are  words we use to define data and our data-driven interactions via verbal language. But in this age of gestural interfaces and touch devices, what is the gestural language of data? As interface designers during this pivotal juncture of the information age, we are in the position to uncover, develop and influence a new language – a sign language of sorts – that allows users to directly manipulate data. Uncover via tapping into the innate human capacity of gesticulation. Develop by using participatory design methods to define new gestures. Influence by observing, recording, and sharing user-defined gestural language research with the broader design community.  

Callie NeylanSenior Designer, Data VizMicrosoft Office

Marc Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group and lives and works in Silicon Valley, California.  Smith co-founded  the  Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. Smith is the co-editor with Peter Kollock of   Communities in Cyberspace   (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of   Analyzing Social Media Networks with NodeXL:   Insights from a connected world, from  Morgan-Kaufmann   which is   a guide to mapping connections created through computer-mediated interactions.

Charting   Collections of Connections in Social Media: Creating Maps and Measures

Networks are a data structure commonly found across all social media services that allow populations to author collections of connections.   The   Social Media Research Foundation's   NodeXL   project makes analysis of social media networks accessible to most users of the Excel spreadsheet application.  With NodeXL, Networks become as easy to create as pie charts.   Applying the tool to a range of social media networks has already revealed the variations present in online social spaces.  A review of the tool and images of Twitter, flickr, YouTube, and email networks will be presented. 

Marc SmithDirectorSocial Media Research Foundation

Mike Evans is a Data Visualization Engineer at Facebook where he shapes data into insights. Prior to joining Facebook, Mike was the VP of Product Management at TrueViz. He's also founded Viz Wars, a traveling data visualization competition, and Mike's Advice, a popular social media page that provides bite-sized visual inspiration. Mike received his BA in Telecommunication from Michigan State University and studied Film Production at Chapman University before shifting his storytelling skills into data and technology.

Mike EvansData Visualization EngineerFacebook

F TI L

The Information

Registration Pricing

Group Discount Offers3 Silver Passes: $3000 ($1000 per attendee) 5 Silver Passes: $4500 ($900 per attendee)3 Gold Passes: $3900 ($1300 per attendee)5 Gold Passes: $6000 ($1200 per attendee)

For group discounts on All Inclusive Passes, larger groups or special requests contact Hayley by calling +1 415 692 5378 or email hlaw@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 415 692 5378 +1 323 446 7673 Register Here

Data Visualization SummitDate: April 28 & 29, 2015Venue: San Jose Convention CenterLocation: San Jose, CAAccommodation: Now Sold Out

Silver Pass

$1495Access to all sessions &

networking events7 days access to presentations from the

summit via ieOnDemand

$1295Early Bird Price(before Feb 27)

Diamond Pass

$1995Access to all sessions, networking

events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1795Early Bird Price(before Feb 27)

Gold Pass

$1795Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$1595Early Bird Price(before Feb 27)

1 Day Pass

$795Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

7 dayonline access to event materials

On-Demand Pass

$600Unlimited access to presentations from the summit via ieOnDemand,

including presentations, interviews & the ability to contact speakers

Unlimited access to

ieOnDemand

NAME OF EACH ATTENDEE

TITLE OF EACH ATTENDEE DEPARTMENT

COMPANY INDUSTRY

ADDRESS CITY

STATE/PROVINCE ZIP/POSTAL CODE COUNTRY

EMAIL OF EACH ATTENDEE BUSINESS PHONE NUMBER

1. Delegate Information...

2. Pass Types...Early Bird Pass Options until February 27, 2015

Early Bird Silver: $1295 Attendees ____ Early Bird Gold: $1595 Attendees ____ Early Bird Diamond: $1795 Attendees ____

Regular Pass Options after February 27, 2015 Silver Pass: $1495 Attendees ____ Gold Pass: $1795 Attendees ____ Diamond Pass: $1995 Attendees ____

Group Discount Pass Options 3 Silver Passes $3000 ($1000 per attendee) 5 Silver Passes $4550 ($900 per attendee) 3 Gold Passes $3900 ($1300 per attendee) 5 Gold Passes $6000 ($1200 per attendee)

For group discounts on All Inclusive Passes, larger groups or special

requests contact Hayley by calling +1 415 692 5378 or email hlaw@theiegroup.com Group passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & unlimited access to the summit presentations via ieOnDemandDiamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

Check (Make checks payable to The Innovation Enterprise Ltd) Invoice me

Visa Mastercard American Express Diners Club Discover

CARD NUMBER EXPIRATION DATE SECURITY NO.

CARDHOLDERS NAME CARDHOLDER’S SIGNATURE

BILLING ADDRESS INDUSTRY

Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before March 30, 2015 incur an administrative charge of 50%. If you cancel your registration after March 30, 2015 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration FormData Visualization SummitApril 28 & 29, 2015 | San Jose Convention Center | San Jose, CAFor registration or more information on the program, please call Hayley on +1 415 692 5378 or fax this registration form to +1 (323) 446 7673

3. Payment Options...

Schedule

Networking Drinks 17.00 - 19.00

April 29

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

April 28Day One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

Sponsors

For more information on sponsorship opportunities contact Pedro Yiakoumi

Roundtable Sponsor

Exhibitors

SponsorshipOpportunities

Giles Godwin-Brownggb@theiegroup.com

+1 (415) 692 5498 US+44 (207) 193 0386 UK

Delegate Invitations

Sean Foremansforeman@theiegroup.com

+1 (415) 692 5514 US+44 (207) 193 1655 UK