1 Big Data Innovation Gain greater insight with data science June 4 & 5, 2014 Marriott Bloor Yorkville Hotel, Toronto Canada
2 Confirmed Speakers Confirmed Speakers Manager, Marketing & Analytics, Aviva Director, Loyalty Program, Rogers Director Engineering, RBC Director, Analytics, CIBC Vice President, Big Data, Kobo Data Analyst, Shopify Assistant VP, R&D, Aviva Insurance Data Analytics Lead, TD Bank Director, Analytics, Yellow Pages CIO, Public Health Ontario Director, FNESC CIO, Royal College of Physicians and Surgeons of Canada CMIO, University Health Network VP Toronto Hydro-Electric System Principle Data Scientist, POINTS CEO, FundRazr Data Engineer, Shopify Director, POINTS
3 Who Will You Meet There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level executives from major corporations and innovative small to medium size companies. Job Title Of Attendees 78% Attendees are at Director level or above 3% President /Principal Company Size Of Attendees Employees Employees Employees Less than 49 Employees 21% 12% SVP/VP C-Level 56% 81% Attendees are companies with at least 300 employees 8% 11% 25% 42% 13% 8% Snr. Director /Director Global Head / Head Snr. Manager /Manager Academic (1%) Past Delegates include Director, Policy - Government of Ontario Director, Market Management - Rogers Manager, Data Insight - Google Head of Database - Canadian Water Network Director, Business Development - Kraft Foods National Manager, Research - Habitat F T
4 About Big Data The Big Data Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers. As many organizations are now working with unmanageably large data sets, the importance of using and maintaining an analytics platform which can cope with this scale of information is essential. This p r e s e nt s b ot h a c h a l l e n g e a n d opportunity as organizations must identify patterns and gain actionable results in order to gain a crucial advantage over competitors. Illustrated intermittently with case studies, interactive panel sessions and deepdive discussions, this summit offers solutions and insight from the leaders operating in the Big Data space. Big Data Innovation will help your business understand & utilize datadriven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, s e c u r i t y a n d d i s r u p t i v e t o o l s & technologies. Confirmed Speakers Masoud Charkhabi Director, Advanced Analytics Canadian Imperial Bank of Commerce Masoud Charkhabi is Director of Advanced Analytics at the Canadian Imperial Bank of Commerce (CIBC). Masoud leads a group of Data Science professionals that specialize in deriving insight from CIBC s large unstructured and structured information sources using Statistical Learning and Data Mining techniques. Previously, Masoud held consulting and management roles in the decision sciences, technology and operational divisions of CIBC. He holds degree in Management & Engineering. Finding Focus Areas in Big Data It was famously said that a wealth of information brings a poverty of attention. Big data can accompany this paralyzing effect that not only stalls progress but undermines confidence in the value of analytics. While the sheer volume of big data overwhelms the most scientific analytical methods, pockets exist that accommodate these scientific methods quite well. This presentation will elaborate on a framework that helps find focus areas in big data. You will see that indeed, the problem is not information overload; it's filter failure. Presentations coming soon from...
5 Confirmed Speakers Hashmat Rohian Assistant Vice President, R&D Aviva Hashmat leads a cross-functional team charged with bringing data-driven insights and solutions to the masses and making fast, fact-based decision making a reality across Aviva. As an academic and practitioner, his work concentrates on taking an issue-to-outcome execution approach putting the focus on innovation in the digital space and tying Data, Execution, Learning, Analytics & Technology directly to making better and faster decisions for improved business outcomes. Hashmat has over ten years of teaching and international consulting experience in the development and delivery of web, desktop and mobile solutions using advanced analytics technologies such as hadoop, nosql/ graph data mining, predictive modeling, customer pricing & retention, speech analytics, portfolio optimization and fraud analytics. Hashmat holds graduate degrees in Computer Science and Financial Engineering and is a certified PMP, ACP, CISSP, CFE, TOGAF Enterprise Architect and Six Sigma Black Belt Practitioner. Why We Should All Love Graph Analytics & Stop Worrying Today's complex data is big, variably-structured and densely connected. In this session, we will look at how size, structure and connectedness have converged to change the way we work with data. Connected data is prevalent in social networking (as you mention), logistics networks (for package routing), financial transaction graphs (for detecting fraud), telecommunications networks, ad optimization, recommendation engines, bioinformatics, and in many other places. We will explore the new opportunities for creating end-user value that have emerged in a world of connected data, illustrated with graph analytics examples implemented using graph database. Richard Langlois IT Director, Consumer & Advertiser Analytics Yellow Pages Richard Langlois is the Director of Consumer and Advertisers Analytics for Yellow Page Group. Richard cumulates 30 years of experience in IT as a consultant specialized in BI/Analytics and Enterprise Architecture and/or in different management roles in various industries in Canada, USA and India. He has been certified senior architect and was the lead of the Canadian BI Practice while at Capgemini, followed by Global Chief Architect at TataCommunications. Yellow Analytics Roadmap: A Big Data Journey Using Hadoop, Infobright, and Information Builders Yellow Analytics is an application used by advertisers and sales to calculate revenue potential and report on the performance of the products advertisers have purchased. The itinerary for this session starts with roadmap planning and continue with: architecture (hybrid technologies, data, metadata and services), iterative development, capacity planning, performance and high availability. We will conclude with how Business Intelligence and Analytics interact.
6 Confirmed Speakers Alan Khara Director, Information and Communication Technology First Nations Education Steering Committee (FNESC) Alan Khara provides vision, strategy and leadership in the development and implementation of information, communication and technology (ICT) services for First Nations Education Steering Committee (FNESC) and support the First Nations Schools Association (FNSA) and Indigenous Adult Higher Learning Association (IAHLA) initiatives. Strategically supporting and advising the organization s management team on all ICT matters, Mr. Khara also leads the planning and implementation of large-scale and complex data systems in 130 secondary schools and 40 Post- Secondary institutions in the province of British Columbia. As a recognized specialist in the field of Data Science, he is consulted by several companies, as well as Federal and Provincial governments of Canada.. Five Great Myths about Big Data Big Data may eventually lead to the discovery of the Theory of Everything in Physics one day; however, it will still not become a solution to everything in the world we live in. Following the wrong approach towards Big Data can cost a company, its reputation and its competitive edge in the market. Just knowing Attribution Models and Predictive Analytics is not enough. If you become a believer in one of the myths described below, you will end up with wrong numbers. Leila Lavaee Data Analytics Lead, Digital Strategy & Customer Experience TD Bank Leila Lavaee is a Strategy & analytical lead, a key part of a dynamic, innovative team who supports TD's Digital Channel through leading-edge analytical work. Leila has advised on how data can be acquired to drive insights and data driven decision making in various industries such as direct marketing, advertising and financials. Lately, Leila's focus has been on web analytics to enrich traditional customer analytics with unstructured data from different data sources. "Big Data"... Is it a No-Brainer...? "Big Data" seems to be a no-brainer and so many more organizations are trying to run big data projects. But last year the focus was more on infrastructure and all costs associated with it. What seems to be missing in the bigger picture is the true value of big data which is if and only if it drives strategic insights. Based on Gartner; 64% of enterprises surveyed indicated they're deploying or planning big data. Yet, they still don't know what to do with it. This presentation will elaborate on how to develop "big data" mindset in your organization and later will showcase how it can enhance customer experience.
7 Confirmed Speakers Jim Tom Chief Information Officer Public Health Ontario Jim has been translating the business direction of PHO into an information, data and technology strategy, and implementing the required architecture, infrastructure and services to support PHO s mandate. He works with scientific and medical leads to define strategy for requirements such as disease surveillance and laboratory operations. Jim was previously CIO and associate vice chancellor at the University of Missouri - St. Lois. His other positions have included CTO of the UBC Medical lschool expansion, Director of Networks at UBC and VP of Research and Engineering for a digital imaging firm. JIm holds a PhD in engineering from Stanford. Big Messy Data: The Case of Public Health Public Health is concerned with monitoring the health of populations (that is, groupings of individuals) and with the measures that can be used to improve their health. The concerns include such short-term issues as identifying an outbreak of infectious disease as well as long-term issues such as development of diabetes. Data complexity ranges from relatively modest datasets from laboratory test results to heterogeneous sources such as the health system, pollution monitoring, climate records and behavioural evidence. Messiness includes timeliness, linkage between phenomena and semantics. This talk outlines the challenges and PHO s plans to address the data management and analytic issues. Charumitra Pujari PrincipalData Scientist POINTS Charumitra Pujari, Principal Data Scientist, Points. As Principal Data Scientist, Charu is responsible for leading big data analytics at Points. He works with the world s largest loyalty programs to build predictive models for marketing and product optimization, and leads the development of data products. Charu has over 7 years of experience in big data analytics and project management for companies like Accenture and Canadian Tire, and research institutes like the McMaster Advanced Control Consortium. Prior to joining Points, he worked with Canadian Tire as Predictive Analytics Solutions Architect. In that role, he served as the technical leader for a team of 15+ data scientists, data architects and software engineers, driving Canadian Tire Automotive s big data effort to improve product planning, assortment planning and reverse supply chain for 600+ stores nationwide. Charu holds a Masters of Engineering Design from McMaster University. Driving Business Value Using Big Data Analytics Big data is the buzzword of the century and a lot has been said about how it can create real value for the organizations that are adopting this technology, but very few organizations have realized the true potential and ability to drive real incremental results using big data. In this case study, we will show how Points is able to drive 2X incremental revenue and savings for a key partner using multi dimensional view of a customer, building predictive models using an ensemble of machine learning techniques, and a unique way of incorporating business expertise in the predictive models. This case study will explain an end to end framework for executing on big data strategy that starts with a solid business objective.
8 Confirmed Speakers David Perfetti Chief Information Officer Royal College of Physicians and Surgeons of Canada Mr. David (Dave) Perfetti is the Chief Information Officer at the Royal College of Physicians and Surgeons of Canada. In his role, he provides strategic leadership in the development, implementation and management of programs, systems and services that will build the capacity, effectiveness and accountability of the Royal College. Dave has experience in the fields of information technology and business management, including several years as executive director, Canadian Blood Services, and various leadership roles within the Canada Post group of companies. His leadership initiatives encompass operations support, business intelligence, and payroll and human resources information systems. He has successfully led both business transformation programs and large-scale enterprise resource planning (ERP) projects. Big Data Gone Bad, or bad Data gone Big? Over the course of the talk, the speaker will explore various aspects of Big Data. Challenging the paradigm and industry hype, a provocative view of analytics will be presented. Through a lighthearted storytelling style, Dave will engage the audience in an active dialogue. The goal will be to answer the questions; Is Big Data really the answer or are we just taking bad data creating massive analytics. As a result are we taking small problems and turning them into BIG ones. Daryl Hatton Founder & CEO FundRazr Crowdfunding in Enterprise Marketing and Product Development Daryl Hatton is founder and CEO of FundRazr, one of the top 10 brands in the burgeoning global crowdfunding market according to Forbes magazine. Daryl has founded multiple start-ups and helped bring one, Optio, to a successful NASDAQ IPO in He actively serves as board member or advisor to multiple other start-ups in BC and Silicon Valley. In 2013 FundRazr won a Technology Innovation Award as Most Promising Startup by the BC Technology Industry Association and was included in the Profit Magazine Hot 50 as one of the fastest growing startups across all industries in Canada. Crowdfunding is a hot topic because it is disrupting the finance industry around the world w h i l e h e l p i n g e nt r e p r e n e u r s g row n ew businesses, non-profits fund their missions and individuals deal with financial challenges. But as it grows, it is also disrupting the way more established enterprises approach their market research, product development and even their corporate social responsibility marketing programs. This presentation will discuss techniques being explored by pioneering companies in collaboration with crowdfunding innovators.
9 Peter Rossos Chief Medical Information Officer University Health Network As Chief Medical Information Officer and staff gastroenterologist, Dr. Rossos priorities include strategic alignment of clinical systems with workflow and productivity in order to improve outcomes related to patient safety, quality improvement, education and research. In addition to working closely with local academic leadership and researchers, he contributes to provincial and national efforts to advance the use of information and communication technologies. Dr. Rossos received his M.D. from the University of Toronto in 1986, where he subsequently completed his Internal Medicine, Gastroenterology training, and therapeutic endoscopy fellowship. He studied Leadership Development for Physicians in Academic Health Centers at the Harvard School of Public Health in 2004 and graduated from the Executive MBA Program at the Joseph L. Rotman School of Management as a Bregman Scholar in June, Big Data in Healthcare - Issues and Opportunities For a number of reasons healthcare lags decades behind other sectors in leveraging and adopting information and communication technologies. Big Data has potential to contribute to health service transformation by enabling improved access, quality, safety and personalization of care while containing costs and improving operational efficiencies. In this session we will discuss Big D a t a i n h e a l t h c a r e f ro m t h e fo l l ow i n g perspectives: 1. What is it? 2. What are some of the opportunities? 3. What changes and innovations are required? Robert Wong Executive Vice-President and Chief Information & Risk Officer Toronto Hydro-Electric System Limited Robert Wong is Executive Vice-President and Chief Information & Risk Officer at Toronto Hydro-Electric System Limited, responsible for the overall delivery of information technology services as well as other functional responsibilities including corporate strategic planning, enterprise risk management, corporate governance, business continuity, and record management. Robert has been with Toronto Hydro since 1988 and has held various progressive senior management positions in electrical operations. A Professional Engineer with a Bachelor of Applied Science Degree in Electrical Engineering from the university of Toronto, Robert also holds a Master of Business Administration Degree from the Schulich School of Business at York University. Challenges and Opportunities from Smart Grid Data: Toronto Hydro s Perspective Toronto Hydro is a North American industry leader in the adoption and advancement of the so-called Smart Grid, as a result of its implementation of government policies and mandates ion Ontario. Smart meters and other technology devices and systems that comprise the Smart Grid collect and transmit an enormous amount of new data regarding the electricity usage patterns of customers and performance of the electricity grid. This presentation will describe the challenges and opportunities facing Toronto Hydro and other electrical utilities in managing this data and converting it into valuable information and services to their customers and business users.
10 Confirmed Speakers Karima Arhab Director, loyalty Programme Rogers Strategic business leader with extensive experience in marketing and operations management. Highly skilled in problem solving with a unique mix of business acumen and technology expertise. Demonstrated ability in building and managing complex innovative programs in large organizations. Proven track record in building high performance teams and delivering on strategic initiatives and award winning programs. Most recently designed, built and launched at Rogers the first quad-play telecommunication enterprise-wide loyalty program "Rogers First Rewards". Passionate about using big data/insights to deliver on customer loyalty, profit growth optimization, customer experience improvement; and drive competitive advantage through leading edge business solutions/programs. Visionary leader, able to translate business challenges into infrastructure, application, people, processed, and governance requirements for solution roadmaps. The Strategy & Achievements Behind the Innovation Rogers Rewards Program Karima Arhab will discuss the strategy and achievements behind the innovative Rogers Rewards Program and how it is successfully incentivizing customer loyalty while maximizing profit. Learn how Karima and her team designed and developed the program using advanced analytics to ensure they were giving customers what they wanted and optimizing the balance between value for the customer and profit for the company. Plus, discover the keys ways in which they communicated the program to their customers to stimulate engagement and take-up. Diederik Van Liere Data Engineer Shopify PANEL: Analytics in Practice: From Raw Data to Actionable Insights Diederik is a data engineer at Shopify, prior to that he worked as a product manager analytics at the Wikimedia Foundation, the non-for-profit that operates the family of Wikipedia and Wikimedia websites. He has a PhD in decision sciences from the Erasmus University Rotterdam in the Netherlands. He loves to move up and down the data stack. We'll discuss the the process of translating vast amounts of data into something that can be consumed by business users throughout the organization. Data collection, cleaning, processing, analysis, and delivery are some of the topics of this panel. Panelists include: Diederik Van Liere, Data Engineer at Shopify & Paul Neo, Director Engineering, Royal Bank of Canada
11 Confirmed Speakers Steve Vermeiran Director, CRM/Marketing Services Points Steve Vermeiran is the director of Data and Analytics at Points International. He works with the worlds largest loyalty programs to improve customer engagement and optimize reward currency management through data-driven marketing and products. As a marketing Analytics professional with over 17 years experience Steve has learned and earned his skills through a progressive number of positions across a wide variety of companies and industries. Many years before Big Data and Analytics became popular, Steve cut his teeth at a small Database marketing Agency. he was responsible for managing marketing databases, direct marketing projects, testing and launching new and data collection programs on behalf of many well known Canadian brands in retail retail, packaged goods, and telecommunications. After a number of years on the vendor-side, Steve then moved onto a variety of customer-centric data marketing and leadership positions with companies such as Bell Mobility, Bell Canada, SIRIUS Satellite Radio, Sun Media and Sears. Steve has always focused on practical and concrete ways to leverage data to increase business results and is excited about the possibilities that new Big Data technology and processes can do to improve on proven analytic and database marketing best practices. Driving Business Value Using Big Data Analytics Big data is the buzzword of the century and a lot has been said about how it can create real value for the organizations that are adopting this technology, but very few organizations have realized the true potential and ability to drive real incremental results using big data. In this case study, we will show how Points is able to drive 2X incremental revenue and savings for a key partner using multi dimensional view of a customer, building predictive models using an ensemble of machine learning techniques, and a unique way of incorporating business expertise in the predictive models. This case study will explain an end to end framework for executing on big data strategy that starts with a solid business objective.
12 The Information Big Data Innovation Summit Date: Location: June 4 & 5, 2014 Marriott Bloor Yorkville Hotel, Toronto, Ontario, Canada Registration Pricing Diamond Pass Silver Pass Gold Pass $1395 $1695 $1895 Access to all sessions & networking events 7 days access to presentations from the summit via ieondemand Access to all sessions, networking events & unlimited access to presentations from the summit via ieondemand Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieondemand $1195 $1695 $1495 Early Bird Price (before April 25) Early Bird Price (before April 25) Early Bird Price (before April 25) On-Demand Pass 1 Day Pass $600 $795 Full access to the sessions to your chosen day of the summit, 7 days access to presentations from the summit via ieondemand Unlimited access to presentations from the summit via ieondemand, including presentations, interviews & the ability to contact speakers 7 day online access to event materials Unlimited access to ieondemand Group Discount Offers 3 Silver Passes: 5 Silver Passes: 3 Gold Passes: 5 Gold Passes: 3 Diamond Passes: 5 Diamond Passes: $3000 ($1000 per attendee) $4500 ($900 per attendee) $3900 ($1300 per attendee) $6000 ($1200 per attendee) $4500 ($1500 per attendee) $7000 ($1400 per attendee) For larger groups or special requests contact Elliott by calling or * Team discounts are applicable at the point of registration only. Ways to Register Please register here F T L
13 Registration Form Big Data Innovation Summit June 4 & 5, 2014 Marriott Bloor Yorkville Hotel Toronto, Ontario, Canada For registration or more information on the program, please call Elliott on or fax this registration form to +1 (323) Delegate Information... NAME OF EACH ATTENDEE TITLE OF EACH ATTENDEE DEPARTMENT COMPANY INDUSTRY ADDRESS CITY STATE/PROVINCE ZIP/POSTAL CODE COUNTRY OF EACH ATTENDEE BUSINESS PHONE NUMBER 2. Pass Types... Early Bird Pass Options until April 25th, 2014 Early Bird Silver: $1295 Early Bird Gold: $1595 Early Bird Diamond: $1795 Attendees Attendees Attendees Regular Pass Options after April 25th, 2014 Silver Pass: $1495 Gold Pass: $1795 Diamond Pass: $1995 Attendees Attendees Attendees Group Discount Pass Options 3 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) 3 Diamond Passes $4500 ($1500 per attendee) 5 Diamond Passes $7000 ($1400 per attendee) For larger groups or special requests contact Elliott Jay by calling or Group passes only available when all participants register together. Pass Descriptions: Silver Pass: Access to all sessions & networking events Gold Pass: Access to all sessions, networking events & unlimited access to the summit presentations via ieondemand Diamond Pass: Access to all sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieondemand 3. Payment Options... 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 -(same as above) 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 May 2, 2014 incur an administrative charge of 50%. If you cancel your registration after May 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.
14 Schedule Day One June 4 Session One Coffee Break Session Two Lunch Session Three Coffee Break Session Four Networking Drinks Day Two June 5 Session Five Coffee Break Session Six Lunch Session Seven Coffee Break Session Eight
15 Confirmed Sponsor Exhibitor Exhibitor For more information, contact Giles at F T L
16 Big Data 2014 Calendar January Big Data Innovation Summit January 22 & 23, Las Vegas February Data Science Innovation Summit February 18, San Diego Hadoop Innovation Summit February 19 & 20, San Diego The Digital Oilfield Innovation Summit February 20 & 21, Buenos Aires Big Data & Analytics Innovation Summit February 27 & 28, Singapore March Big Data Innovation Summit March 27 & 28, Hong Kong April Big Data Innovation Summit April 9 & 10, Santa Clara Big Data Infrastructure Summit April 9 & 10, Santa Clara Data Visualization Summit April 9 & 10, Santa Clara May Data Visualization Summit May 14 & 15, London May Big Data Innovation Summit May 14 & 15, London Big Data & Analytics in Healthcare May 15 & 16, Philadelphia Big Data & Advanced Analytics in Government May 21 & 22, Washington, DC Chief Data Officer Summit May 22 & 23, San Francisco June Big Data Innovation Summit June 4 & 5, Toronto Big Data & Analytics for Pharma June 11 & 12, Philadelphia Open Data Innovation Summit June 11 & 12, Boston Big Data & Analytics for Retail Summit June 19 & 20, Chicago September Big Data & Analytics Innovation Summit September 17 & 18, Sydney Data Visualization Summit September 25 & 26, Boston Big Data Innovation Summit September 25 & 26, Boston October Big Data & Analytics Innovation Summit October 15 & 16, Dubai Big Data & Analytics Innovation Summit October 16 & 17, London November Big Data & Analytics for Pharma November 5 & 6, Philadelphia Big Data & Marketing Innovation Summit November 12 & 13, Miami Big Data for Finance November 12 & 13, Boston Data Science Innovation Summit November 12, Chicago Big Data Fest November 27, London Big Data & Analytics Innovation Summit November 27 & 28, Beijing December Big Data & Analytics in Banking Summit December 3 & 4, New York Flagship Finance High Tech Pharma CXO Hadoop Healthcare Oil & Gas Women Expected Government Partnership Opportunities: Giles Godwin-Brown Attendee Invitation: Sean Foreman