Gain the knowledge you need to deliver on your business objectives and unleash the big potential of big data!
From retail to telecommunications, e-commerce, transportation and banking, big data is revolutionizing the way Canadian businesses operate. With expanded storage capacity and new forms of data processing, big data analytics is paving the way for more confident corporate decision-making.
Engage in two days of top content intended to help you maintain your competitive advantage as a data-driven organization. Gather key strategies to extract actionable insights, optimize your processes, and strengthen your client relationships.
NEW in 2016: Specialized tracks for Technical and Business Use. Attend sessions most pertinent to your learning needs.
This is your chance to gain the knowledge you need to solve your big data problems and monetize the immense business potential that lies in your untapped data. Engage in dialogue with cross-industry big data innovators and source solutions for immediate implementation within your organization.
Source intelligence unavailable elsewhere – attend THIS SUMMIT!
A customer-focused, technology-savvy digital sales and marketing professional who has been instrumental in developing strategic growth opportunities and has a successful track-record of exceeding revenue, operational and NPS targets by innovating, implementing and optimizing digital sales, self service, customer experience, big data and marketing programs.
He has experience in digital marketing, customer experience and loyalty, big data, marketing automation, and innovation. Equally comfortable in corporate, agency and startup environments, he has demonstrated the ability to add value in different scenarios and offers diverse industry experience in financial services, automotive, telecommunications, retail, and utilities.
Recognized for strong leadership and relationship skills, he has effectively managed small to large teams along with complex external partner relationships. He has scaled high performance cross-functional teams and as a strategic leader, mentored them by cultivating a spirit of collaboration.
Eugene Munro is a Data Scientist at The Boeing Company in IT Enterprise Architecture (EA). Eugene has worked with a wide range of data, including quantum optics to black holes, and is now in a position where he provides analytics services across the many diverse business units at Boeing (i.e. commercial airplanes, military aircraft, after market and supporting services as well as subsidiaries and partners). More specifically, he has worked on predictive finance models, R&D alloy design and development, human resource problems, health and safety, and more. Beyond delivering analytics solutions, he and his team work to guide the development of analytics at Boeing by standardizing technologies, best practices and sharing reproducible solutions with teams across the company.
Eugene received his Masters of Science degree in Applied and Computational Mathematics from Rochester Institute of Technology.
Gayle Ramsay is Vice President, Customer Analytics in Marketing and Strategy with a mandate to help build the enterprise data strategy and develop strategic and analytic models to drive customer segmentation, acquisition, retention and SOW growth. Previously, Gayle was Managing Director, Customer Contact & Leads Managements, where she was responsible for leading the development and implementation of a world class personal and commercial insight-driven contact management program that drives sales and creates a great customer experience. Gayle has over 20 years’ experience in leading the creation of "best in class" CRM programs through effective planning, customer segmentation, targeted offers and customer life event marketing strategies within multi-product and channel organizations. She has extensive experience in developing customer focused strategies that improve customer loyalty while driving revenue for companies.
Christina Hoy is currently the VP, Corporate Business Information and Analytics at Workplace Safety and Insurance Board, where she is governing data and transforming it into high-quality, high-value, agile information solutions to support better outcomes for workers and employers. Christina has lead the charge on numerous information fronts, from establishing data standards, ensuring high quality data to developing provincial wide information solutions.
Prior to joining the WSIB, Christina worked at the Ministry of Health and Long-Term Care most recently as the Director of Health System Funding Policy where she lead the strategic development and implementation of Funding Reform across the province for the Hospitals, CCACs and Long-Term Care. Christina also held the Director of Health Data, where she managed the information assets on behalf of the Ministry and Health System.
Christina has also held positions within Southlake Regional health Centre and the University Health Network.
Nicholas is an information technology and business professional with over 20 years of experience in the financial services, energy utility, telecommunications and manufacturing industries. He currently heads a global practice at Manulife Financial, that’s responsible for information management and analytics technology strategy and enablement. Besides previously co-founding a software start-up, he has experience as a consultant in the fields of IT strategy, enterprise architecture, big data, analytics and data integration. You can follow some of his personal views on Twitter at @nywhoever.
Inmar Givoni is the VP of Kobo’s Big Data team. She first joined Kobo 2013 as a senior research scientist and worked on content analysis, website optimization, and reading analysis among other things. Prior to that, Inmar was a member of technical staff at Altera here she worked on optimization algorithms for cutting-edge programmable logic devices.
Inmar received an undergraduate degree in Computer Science and Computational Biology from the Hebrew University in Jerusalem. She later obtained her Ph.D. in computer science at the University of Toronto, specializing in Machine Learning and working under the supervision of Professor Brendan Frey. During her studies, Inmar was an academic visitor at the University of Cambridge, and interned with Microsoft Research Labs working first on e-commerce search problems and later on the Kinect pose estimation system. She is the author of numerous top-tier academic publications and patents.
Janine started her career with IBM in 1998 shortly after graduating from Pace University where she studied Accounting and Law. In 2006, she got exposed to the M&A and Business Development arena and her passion for market awareness, external interaction and strategic deal making solidified. Janine has been responsible for many key strategic deals across the portfolio. Janine leads a team of business development experts supporting a multi billion dollar portfolio across IBM Analytics.
Hashmat leads organizations build a cross-functional, rapid prototyping capability to push and test new value propositions in the market predicated on innovations in technology, advanced data analytics, emerging business models and digital ecosystems. As a technology evangelist and a business strategist, he has over a decade of international leadership experience in the development and delivery of new capabilities across various industries to solve existing business problems and prepare the business for future disruptive opportunities.
Hashmat holds post-graduate degrees in Computer Science and Financial Engineering from Schulich School of Business, York University and is a certified PMP, ACP, CISSP, CFE, TOGAF EA and Lean Six Sigma practitioner.