Hyatt Regency,
Toronto, ON

Tuesday March 5th &
Wednesday March 6th 2019

2019 Agenda

March 5, 2019
  • 7:15 AM
    Registration and Breakfast
  • 8:15 AM
    Opening Comments from the Chair
  • 8:30 AM
    Keynote: Interac
    Embrace Blockchain to Create a Strategic Competitive Advantage
    Oscar Roque
    AVP, Mobile Products & Platform, Interac
  • 9:15 AM
    CDO Panel
    Source Insights on the Latest Big Data Trends
    Pamela Snively
    Vice President, Chief Data & Trust Officer, Telus
    John Walsh
    Chief Data Officer, Chief Delivery and Results Officer, Environment and Climate Change Canada
    Peter Papadakos
    Decision Support & Analytics, Health Information Services, and Chief Privacy Officer, Quinte Health Care

    Big data is a fast-moving field with constant innovations and new opportunities. Stay on top of the latest trends to help your organization monetize big data. Gain insights to:

    • Explore new and emerging trends
    • Understand the future potential of big data
    • Monetize your data

    Source key insights from c-suite data leaders to transform your organization

  • 10:15 AM
    Industry Expert
    Employ Edge Computing to Analyze Data in Real Time at a Lower Cost

    Edge computing allows you to process the data close to its source, rather than at a centralized location. This gives you the potential to leverage the power of the Internet of Things. Create a plan to:

    • Embrace wireless sensor networks and smart objects
    • Process data close to sensors and other data collection points
    • Analyze data in real-time

    Process data more efficiently through the power of edge computing.

  • 10:45 AM
    Morning Break
  • Track A
    • 11:15 AM
      Case Study: Norton Rose Fulbright
      Understand the Legal Landscape to Make the Most of AI While Staying on the Right Side of Regulations
      Anthony de Fazekas
      Partner, Lawyer, Patent Agent, Head of Technology & Innovation, Norton Rose Fulbright

      The legal landscape in a fast-moving field like AI can be unclear. Get the clarity you need to make business decisions. Gain insights to:

      • Understand the relevance of copyright laws to AI/ML; and the protectability of AI/ML
      • Comply with privacy regulations
      • Anticipate potential legislative changes

      Gain an understanding of the legal landscape for AI in Canada to inform business decisions.

    • 12:00 PM
      Industry Expert
      Take the Plunge Into Data Lakes for Faster and More Robust Analysis

      Data lakes have the potential to improve access to data and increase the speed of analysis. Explore how your organization can use a data lake to turn data into actionable insight. Source an action plan to:

      • Integrate existing data into data lakes
      • Improve the accessibility of data without the structural limitations of warehouses
      • Address business needs in a timely manner

      Analyze your data quickly and make insights accessible with data lakes.

    Track B
    • 11:15 AM
      Case study: Region of Peel
      Use Artificial Intelligence and Machine Learning to Develop Autonomous Business Solutions
      Faraz Zaidi
      Advisor Health Analytics, Health Services, Region of Peel

      Recent advances in AI and ML have led to the development of innovative solutions and capabilities for a variety of sectors such as Sales and Marketing, Financial Services, Automotive Industry and Healthcare Providers. Common goals and objectives pertaining to these domains are, respectively, ‘I want to make more money,’ ‘I want to have more clients,’ I want to develop a self-driving car,’ ‘I want to improve the health of my patients.’ Achieve these goals by:

      • Modeling these objectives as qualitative problems
      • Using advanced analytical and computational methods to develop solutions using state-of-the-art algorithms and
      • Overcoming the challenges organizations face is developing and implementing these solutions

      Create autonomous business solutions with the support of AI and ML.

    • 12:00 PM
      Industry Expert
      Employ Predictive Maintenance with Big Data to Avoid Costly Downtime

      As we enter the “Internet of Things” era, the increased availability data allows you to perform maintenance proactively. Embrace predictive maintenance to maintain your productivity and avoid lost revenues. Go back to the office with strategies to:

      • Integrate IoT data sources to improve maintenance decisions
      • Monitor equipment and facilities in real-time to anticipate maintenance needs
      • Establish a maintenance policy based on data to reduce costs

      Reduce your unnecessary downtime with predictive maintenance.

  • 12:30 PM
    Networking Lunch
  • 1:45 PM
    Put Analytics in the Hands of Employees to Create a Data-Driven Organization
    Jason Garay
    Vice President, Analytics and Informatics, Cancer Care Ontario
    Christian Rodericks
    Director Analytics and Architecture, Cara Operations
    Saad Rais
    Lead Data Scientist, Ontario Ministry of Health and Long-Term Care
    Michael Morris
    Director, Sales Analytics and Incentive Programmes, Global Furniture Group

    Data can provide essential insights to the wider business when employees have access to them. Empower employees by giving them access to data and analytics. Develop a plan to:

    • Train and educate the wider business in the use of data and analytics
    • Provide dashboards and simplified access to data and analytics
    • Create a culture that embraces data

    Empower employees with data to drive your organization.

  • Track A
    • 2:45 PM
      Industry Expert
      Secure Big Data to Avoid Breaches

      As the size of the data you store increases, so does the potential damage of a breach. Develop a strategy to keep your data out of the hands of cyber attackers. Source best practices to:

      • Develop a secure infrastructure to house data
      • Monitor employee account access to prevent internal breaches
      • Secure applications and hardware to minimize vulnerabilities

      Keep your data out of the hands of cyber attackers with appropriate security measures.

    Track B
    • 2:45 PM
      Industry Expert
      Assess the ROI of Big Data to Demonstrate Value and Gain Support

      In order to receive support, big data programs must be able to show the value that the core business derives from them. Make the case for your big data program in cold, hard numbers. Take strategies back to your office to:

      • Identify the real costs of analytics programs
      • Discover and assess KPIs
      • Demonstrate the monetization of big data

      Show the costs and benefits of your big data program to develop organizational support.

  • 3:15 PM
    Afternoon Break
  • 3:45 PM
    Industry Expert: IBM
    Unlock the value of your data in new ways and accelerate your journey to AI
    Alyse Daghelian
    Vice President, Global Analytics Sales, IBM

    Every organizations journey to AI will be different, however, key principles still exist. Collecting your data to make it simple and accessible; organizing your data so that it’s built on a trusted foundation; analyzing your data to provide the insights on demand and modernizing your data to make it ready for the Cloud and AI remains unchanged. Hear use cases on how data science, machine learning and other open source tools have been leveraged to build winning data, analytics and AI strategies. Alyse will share new ways to unlock the value of your data and accelerate your journey to AI.

  • 4:15 PM
    Keynote: Privacy by Design
    Leverage Privacy by Design to Achieve your Business Needs Through Big Data Without Compromising Privacy
    Dr. Ann Cavoukian
    Distinguished Expert-in-Residence, Privacy by Design Centre of Excellence, Ryerson University

    Organizations today are looking into how consumer, social media, and web traffic data can help drive business. However, companies need to be aware of the backlash involved and the privacy concerns that are brought to the forefront of big data discussions:

    • Overcome privacy challenges with new data sources
    • Manage customer data privacy expectations
    • Promote data privacy best practices

    Be proactive: create big privacy for big data.

  • 4:45 PM
    Conference Adjourns to Day Two
  • 4:50 PM
    Cocktail Reception
March 5, 2019
March 6, 2019
  • 7:45 AM
    Registration and Breakfast
  • 8:15 AM
    Opening Comment from the Chair
  • 8:45 AM
    Keynote: TD Bank Group
    Laying the Foundation for a Successful Enterprise AI/Machine Learning Strategy
    Lovell Hodge
    Vice President, North American Fraud Analytics, Financial Crimes & Fraud Management Group, TD Bank Group

    Enterprise-wide AI programs are no small investment. Ensure meaningful returns on this investment with a strategy to support AI and machine learning. Develop a plan to:

    • Assess your AI/ML capabilities
    • Determine the objectives of AI/ML for your organization
    • Track the success of your program

    Make your AI and machine learning program a success with a strategic plan.

  • 9:15 AM
    Industry Expert
    Develop a Scalable, Agile Framework to Support Your Big Data Initiative

    As you build your big data and analytics program, you must be prepared for your needs to change. Develop a program that can adapt as your program grows. Source a framework to:

    • Start small and scale your program up
    • Anticipate your needs to prepare for the future
    • Be flexible and adaptable to ensure continued relevance

    Improve your operations and business outcomes through an efficient, scalable and agile platform.

  • 9:45 AM
    Competing in the War for Big Data Talent
    Peter Husar
    Vice President, Analytics Strategy & Planning Enterprise Data and Analytics, TD Bank Group
    Aliza Lakhani
    CEO, Northeastern University Toronto
    Houtsin Diep
    Analytics Manager, Digital, McDonald's Restaurants of Canada Limited

    The demand for qualified big data experts has outpaced the labour supply. Position yourself to compete for the best and brightest in the field. Create a plan to:

    • Identify and attract top talent
    • Work with universities to create a supply of qualified big data experts
    • Compete for talent against Silicon Valley and other markets

    Develop a plan to attract and retain top big data talent.

  • 10:45 AM
    Morning Break
  • Track A
    • 11:15 AM
      Case Study: Twitter
      The Evolution of Science When your Consumer Never Sleeps
      Alyson Gausby
      Head of Research, Twitter Canada

      Each and every day, millions of people on Twitter reach out to brands looking for help. The opportunity to answer questions, engage in conversations, and respond to concerns in real time, 24/7 demands a new approach to customer care. Consumers insist on speed, transparency, and accuracy but that’s not easy at scale. Today, only 40% of Canadians say they see good customer service on social media, yet nearly 2/3 say the service they receive impacts their future purchase behaviour. This session will share new research insights and tips and tricks for how to improve engagement with your customers, including a consumer-focused deep dive into the world of chatbots - how they can help and what impact they have on customer care.

    • 12:00 PM
      Industry Expert
      Monetize Big Data to Improve your Bottom Line

      The true value of big data is found when it is applied to drive business improvements and increase revenues. Unleash the potential of big data to improve your profits. Source original strategies to:

      • Optimize your sales and marketing strategy
      • Increase customer loyalty
      • Move from descriptive analytics towards prescriptive revenue generation strategies

      Convert your data into profitable business intelligence.

    Track B
    • 11:15 AM
      Case Study: Shoppers Drug Mart
      Teach Machines to Learn for Better AI
      Pramod Dogra
      Senior Manager Advanced Analytics, Shoppers Drug Mart
    • 12:00 PM
      Industry Expert
      Create a Roadmap to Ensure Enterprise-Wide Success of Big Data and Analytics

      Implementing big data and analytics is a high-level strategic undertaking. Take an enterprise-wide approach as you develop a big data and analytics strategy. Walk away with a proven plan to:

      • Establish your strategic vision
      • Gathering business requirements and data analysis needs
      • Defining an information architecture

      Develop your competitive advantage with a well thought-out big data roadmap.

  • 12:30 PM
    Networking Lunch
  • Track A
    • 1:30 PM
      Industry Expert
      Get Beyond the Hype of AI and Machine Learning to Make a Real Impact on your Business

      There’s a lot of hype surrounding AI. Get beyond the hype and find out what practical effects AI can have on your organization today. Gain expert insights to:

      • Identify AI applications that you can implement now
      • Manage your expectations for AI
      • Create a plan to develop your AI capabilities

      Identify real applications that AI can have on your organization today and in the near future.

    • 2:00 PM
      Case Study: Beth Israel Deaconess Medical Center
      Building a Data Platform for Better Insights
      Ayad Shammout
      Director of Data Management & Analytics, Beth Israel Deaconess Medical Center

      There is a growing demand for better Healthcare IT and Analytics to drive better patient care services and business decisions. Analytics require managed data platform as a foundation for Business Intelligence, Data Mining and Advanced Analytics with modern data visualization. Data Management is an essential process that provides data governance, data modeling, and data visualizations.
      In this session, I will share how we are developing an Enterprise Data Management Platform and build a better innovative analytical program to introduce new technologies that help in solving complex business issues.

    • 2:45 PM
      Case Study: Ontario Telemedicine Network
      Leverage Academic Partners to Advance your Big Data and Analytics Program
      Jordan Himel
      Head, New Venture Development, Ontario Telemedicine Network

      Take advantage of Canada’s strong network of data researchers to drive real business results. Source best practices to:

      • Develop partnerships with academics
      • Support commercial activities with the help of academic partners
      • Develop real-world applications for data research

      Partner with the academic world to drive business results.

    Track B
    • 1:30 PM
      Industry Expert
      Improve Natural Language Processing to Develop Better Chatbots

      Chatbots have the ability to improve customer experience and free up employees, but only if they are highly functional. Improve the way your chatbots function with better NLP. Gain insights to:

      • Develop better AI-based long conversations
      • Improve open domain conversations
      • Create AI with a consistent personality

      Develop better chatbots with the aid of improved natural language processing.

    • 2:00 PM
      Case Study: City of Brampton
      Deploy a Dashboard to Drive Results

      The City of Brampton has built and deployed several analytical solutions including interactive dashboards, data warehouse and master data. These solutions are bringing numerous benefits to Brampton’s constituents and staff such as more reliable public transportation, ridership increase, reduction in complains, faster service request resolution, faster response to complaints, increase in recreation programs enrolment, etc.
      Solutions include:

      • Transit
      • Enforcement
      • Recreation
      • Fire
      • PMO
      • Service Brampton

      This session will show the journey to Brampton’s information and analytics depicting how it was done, what was done, who did it, which solutions were delivered and which tools were used.

    • 2:45 PM
      Case Study: BankNews
      Use Cloud to Prototype and Deploy Big Data Solutions
      Mark Sibthorpe
      Publisher, BankNews

      Big data projects don’t need to be expensive. Explore cloud options to develop big data solutions that can scale.
      Source insights to:

      • Prototype big data solutions
      • Builds partnerships with subject matter experts
      • Deploy and assess your tools

      Use cloud tools as a cost effective way to test environments and deploy sophisticated big-data tools.

  • 3:15 PM
    Afternoon Break
  • 3:45 PM
    Case Study: Law Society of British Columbia
    Proactive Regulation Powered by Data Analytics and Machine Learning
    Thomas Kampioni
    Manager, Information Services, The Law Society of British Columbia

    Many non-profit regulatory bodies face a pressure of being an effective and efficient regulator but having limited funding. In order to achieve its organizational objectives and meet KPMs, organizations must take advantage of collected data and use machine learning to identify trends, patterns and certain indicators that are crucial in making informed decisions about the future. Take back to your office strategies to:

    • Introduce affordable machine learning solution to your organization
    • Use predictive analytics to optimize the usage of your resources and effectiveness of your programs and processes
    • Tell the story through data visualization

    Take away practical ideas that you can apply to your organization on how to introduce proactive approach toward regulation and foster a data-driven culture.

  • 4:30 PM
    Case Study: WestJet
    How AI Is Changing How We Travel
    Tania Hoque
    Manager, Mobile Strategy and Emerging Technologies, WestJet

    Passenger air travel is expected to double across the globe over the next 20 years. How can airlines plan for this increased demand, while both controlling costs and providing innovative solutions that truly make air travel better. Learn how airlines can invest in Artificial Intelligence technologies to meet this demand.
    Look at Artificial Intelligence technologies to:

    • Enhance Guest Experience throughout the travel journey
    • Reduce costs and increase revenue
    • Increase employee satisfaction and productivity

    Apply AI to improve guest experience, increase revenue and improve productivity.

  • 5:00 PM
    Conference Adjourns
March 6, 2019

See the 2019 Brochure

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