Hyatt Regency,
Toronto, ON

Tuesday March 5th &
Wednesday March 6th 2019

2018 Agenda

February 7, 2018
  • 7:30 AM
    Registration and Breakfast
  • 8:30 AM
    Opening Comments from the Chair
    Bala Gopalakrishnan
    Managing Director, Pelmorex Data Solutions, The Weather Network
  • 8:45 AM
    Keynote: Royal Caribbean International
    Using AI to Personalize your Customers’ Experiences
    Sol Rashidi
    Chief Data & Cognitive Officer, Royal Caribbean International

    Artificial intelligence isn't just a buzzword, it's a reality and it has the ability to drive real business results. Hear how AI can improve your customers' experiences. Create a plan to:

    • Create a data-centric organization
    • Customize your offerings
    • Personalize your customers’ experiences

    Leverage your data using AI to improve the experiences of your customers.

  • 9:15 AM
    Industry Expert: MicroStrategy
    Using MicroStrategy and Big Data to Better Understand the Opioid Crisis
    David Knox
    Senior Vice President, Worldwide Sales Engineering, MicroStrategy

    Over the past decade the opioid epidemic has become a major issue in both Canadian and American life. In this session, we will look at how MicroStrategy can be used to bring together and analyze publicly available data from The Centers for Medicare & Medicaid Services, the CDC, and country health records to identify major takeaways and help us better understand the crisis. Attend this session to learn more about:

    • What data can tell us about the opioid crisis
    • How MicroStrategy and R can be used to analyze big data
    • What sets MicroStrategy apart from other analytics vendors
    • How you can get started with the MicroStrategy platform
  • 9:45 AM
    Morning Break
  • 10:15 AM
    Case Study: Maple Leaf Sports and Entertainment
    Building your Analytics All-Star Team
    Sean O’Brien
    Director of Analytics & Research, Maple Leaf Sports and Entertainment

    The analytics talent race is underway.  Organizations globally are competing for top-tier analytics and data science talent, and acquiring the right people for your organization can seem impossible.  Learn how MLSE has built their data analytics/science practice with a focus on:

    • Recruiting, empowering, and unleashing talent
    • Creating a culture of experimentation and IP generation
    • Generating and measuring business value

    Take away specific and practical solutions for navigating the analytics talent shortage.

  • 10:45 AM
    Industry Expert: Information Builders
    Best Use Cases for Big Data and the Internet of Things
    Jake Freivald
    VP of Product Marketing, Information Builders

    In a recent survey, less than 20 percent of CEO's were very satisfied with the value they have recognized from investments in data and analytics.

    This holds true for Big Data as well. Many organizations have experimented with these technologies and invested in creating data lakes for analytics.

    However, these technologies need to find operational use cases in order to drive value to the business. The good news is that the Internet of Things (IoT) is now defining these use cases and new opportunities. This presentation will use multiple case studies and industry research to provide valuable information to attendees engaged in planning, or researching Big Data and IoT initiatives.

  • 11:30 AM
    Room Change Break
  • Track A
    • 11:35 AM
      Case Study: Shoppers Drug Mart
      AI now – Moving Fast, Don’t Fall Behind
    • 12:05 PM
      Industry Expert: Alteryx
      Maximizing your Big Data Investment with Self-Service Analytics
      Joe Cooper
      Eastern Canada, Financial Services, Alteryx
    Track B
    • 11:35 AM
      Case Study: brightpeak financial
      How Big Data and Behavioural Science Shape the Future of Marketing
      Mike Milkovich
      Chief Technology Officer, Brightpeak Financial

      Spending and saving is a rich area of exploration for big data studies. What’s missing is an exploration of people’s attitudes about spending and saving, as well as their behaviours leading up to those actions. In this session, source insights on:

      • The importance of converging motivation, ability and triggers to change behaviours
      • Examples on how behavioural change is needed to drive outcomes
      • Real case studies on what has worked and what hasn’t

      Source a strategy to leverage big data and behavioural science to drive business results.

    • 12:05 PM
      Industry Expert: Indellient
      The Learning Before Machine Learning
      Gordon Uszkay
      Director, Risk and Analytics, Indellient
      Christopher Buchholz
      Senior Strategy Consultant, Chief Analytics Office, IBM

      Machine Learning has the potential to dramatically impact how business as we know it operates. But getting there takes time and a LOT of work.  There are important steps to be taken, questions to ask and factors to consider which could be missing from the conversation today.

      During this session we describe our experiences in building an enterprise scale expense claim review system using advanced analytics and machine learning, a collaborative project between IBM's Chief Analytics Office and Indellient.  We learned a great deal during these last three years, experiences which have helped set IBM's internal strategy for cognitive / ML application development.

      You will learn:

      • Key takeaways on how to move through your analytics journey to machine learning
      • What type of obstacles to look out for and how to overcome them
      • What the key pillars are to make analytics initiatives successful
  • 12:35 PM
    Networking Lunch
  • Track A
    Track B
  • 2:25 PM
    Room Change Break
  • 2:30 PM
    Industry Expert: Dell EMC
    Design Considerations for Scalable Analytics
    Hamid R. Djam
    CTO, Analytics, HPC, Streaming & IoT, Dell EMC Unstructured Storage Division

    Cloud, IoT, Batch, Streaming, containerization and Ai are all aspects of analytics and hot topics as well as drivers for growth in analytics. Although each has a distinct characteristic WRT workloads they all share some common challenges when it comes to scalability. This session will discuss the role Storage plays in Scalable architectures and how to choose the right solution.

  • 3:00 PM
    Afternoon Break
  • 3:30 PM
    Industry Expert: IBM
    How IBM is Architecting the Future – Now! IBM’s Point of View on Machine Learning, Cloud, Data and AI
    Paul C. Zikopoulos
    VP of Cognitive Big Data Systems, IBM

    Paul Zikopoulos, IBM VP Big Data Cognitive Systems will share his perspectives on what your company should think about to succeed in the cognitive era. It’s an era in which data is king – big data, small data, licensed data, public data, but most of all, YOUR data. An era in which companies that transform first/fastest/best through intelligence use of data on behalf of their clients win. The challenge in this era is there's so much data, we've moved from finding needles in haystacks to finding needles in stacks of needles.Paul will provide you with examples and a demo of how to leverage these technologies today to drive success quickly within your organization.

  • 4:00 PM
    Identifying New Trends and Opportunities to Monetize Big Data
    Albert Hoang
    Senior Data Scientist, Director, Advanced Analytics, Manulife
    Dean McKeown
    Associate Director, Administration, Scotiabank Centre for Customer Analytics, Queen's University
    Vicky Marsolais
    Director, Data and Analytics, National Programs and Strategies, CAA (Canadian Automobile Association)

    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

    Turn your data into profits by exploring the latest trends in the field.

  • 4:45 PM
    Conference Adjourns to Day Two
  • 4:50 PM
    Executive Reception
February 7, 2018
February 8, 2018
  • 8:00 AM
    Registration and Breakfast
  • 8:30 AM
    Opening Comment from the Chair
    Bala Gopalakrishnan
    Managing Director, Pelmorex Data Solutions, The Weather Network
  • 8:45 AM
    Leveraging Real-time Events in Customer-centrification and Predictive Analytics
    Cecilia Tamez
    Chief Strategy Officer,
    Jean Louis Verboomen
    Director, Data Science,

    The drive towards customer-centrification dictates the need for a technological environment that enhances customer relationships and, above all, works to strengthen customer loyalty. Monitor and track your customers' omni-channel interactions in real time to optimize the customer journey. Create a strategy to:

    • Collect and assess real-time data
    • Couple real-time data with historic customer interactions
    • Personalize the marketing experience

    Create a customer-centric organization using predictive analytics.

  • 9:15 AM
    Industry Expert: Environics Analytics
    Get in the Fast Lane with Mobile Data
    Paul Tyndall
    Vice President, Strategic Projects, Environics Analytics

    Location-based mobility data can not only show you where your customers live and work, it can reveal which competitors they visited before you. Mobile analytics will greatly expand your understanding of your customers, but the huge volume of data will present new challenges as well. In order to help you maximize the value from this new analytics frontier, Environics Analytics will outline:

    • Practical use cases for transforming and extending traditional analytics
    • New solutions for traditional analytics challenges
    • The possibilities and limitations of using mobile data

    Broaden the opportunities for customer analytics success with mobile data.

  • 9:45 AM
    Develop Cross-department Support to Enable your Big Data Projects
    Selwyn Collaço
    Chief Data Officer, TMX Group
    Andrew Brown
    Senior Director, AI and Advanced Analytics Research, CIBC
    Gayle Ramsay
    Vice President, Customer Analytics, BMO Financial Group
    Manu Sud
    Manager, Ministry of Energy, Government of Ontario

    The effectiveness of a big data project depends on the support of the organization as a whole. Work with stakeholders in your organization to ensure your program’s success. Walk away with a plan to:

    • Involve divers programs in your data program
    • Get senior management on board with big data
    • Gain the support of front line workers for data and analytics

    Ensure that your data and analytics programs are supported across the organization.

  • 10:30 AM
    Morning Break
  • 10:55 AM
    Industry Expert: Next Pathway
    Data-as-a-Service: The Key to Preparing Data for AI
    Chetan Mathur
    Chief Executive Officer, Next Pathway
    Vinay Mathur
    Chief Strategy Officer, Next Pathway
    Craig Wickett
    Senior Vice-President International Technical Services, Scotiabank
  • 11:25 AM
    Room Change Break
  • Track A
    • 11:30 AM
      Case Study: Scotiabank
      Use Big Data Analysis to Mitigate your Risks
      Nima Safaei
      Associate Director, Network Analytics, Scotiabank Global Banking and Markets

      The forecasted regulations and competition pressures enforce banks to carefully comply with risk factors. Explore how you can employ machine learning and big data methods to extract risky components. Achieve a step-by-step action plan to:

      • Integrate data from different departments into a single network representation.
      • Identify secondary relationships at various levels even in the absence of financial relationship
      • Analyze the microstructure of the Cross-border Payment Network to identify the suspicious components having a potential for risky activities and illicit behaviour.

      Take away experienced insights to help you make the right de-risking and onboarding decisions.

    Track B
    • 11:30 AM
      Case Study: Global Furniture Group
      Smoothly Navigate your Path to Bring Business Intelligence to your Organization
      Michael Morris
      Director, Sales Analytics and Incentive Programmes, Global Furniture Group

      Moving a company into Data Analytics is a monumental task. Reduce your anxiety with insights from someone who’s been down this bumpy road. Discover practical tips to:

      • Smoothly navigate your path to bringing business intelligence to your organization
      • Enhance team building to support your vision
      • Distil the promises to help make your software decisions

      Take away a roadmap to help begin your journey to making informed business decisions.

  • 12:00 PM
    Room Change Break
  • 12:05 PM
    Industry Expert: CVM Data Sciences
    Understanding Data Science
    Will Dick
    President, CVM Data Sciences Inc.
  • 12:35 PM
    Networking Lunch
  • 1:30 PM
    Industry Expert: SAS
    How to Train Your AI
    Steve Holder
    Strategy Lead, Analytic Ecosystems, SAS

    When thinking about how your organization can take full advantage of Machine Learning and Artificial Intelligence, it's important to acknowledge that these technologies are not silver bullets for solving your business problems. Raising and training a helpful machine system is something that takes a lot of clean data, foresight and work.

    In this session, our data scientists will walk through what it takes to become the proud parent of intelligent machine systems. We'll be discussing:

    • Data recipes with which to feed your young AI so that it can grow big and strong
    • Training tips to help ensure that it gets the best job in the market
    • Lifecycle management to prepare it for a changing workforce
    • Lastly, we'll share aspirational stories of where your young, intelligent systems might find work one day
  • 2:00 PM
    Case Study: The Weather Network
    Marketing Insights from the Big Data Confluence of Weather and Mobile Location
    Bala Gopalakrishnan
    Managing Director, Pelmorex Data Solutions, The Weather Network
  • 2:30 PM
    Case Study: Enterprise Saint John
    Size Matters: How a Small Community is Harnessing the Power of Data to Drive Economic growth
    Janet Scott
    Director, Business and Community Development, Enterprise Saint John
    Mirko Crevatin
    Program Manager, Enterprise Saint John

    Many small businesses and organizations struggle to access the resources, knowledge, and infrastructure to capture, collect and analyze data in meaningful ways. Small communities may be in a better position to collaborate to fill these gaps in ways they don’t often realize.

    Learn how to build a data ecosystem that:

    • Engages businesses and organizations of all sizes
    • Builds partnerships with subject matter experts
    • Develops shared data assets and infrastructure
    • Drives innovation

    You will discover how a small Canadian City is building on its industrial and innovative past by harnessing the power of data and partnerships.

  • 3:00 PM
    Afternoon Break
  • 3:30 PM
    Case Study: Customer Analytics
    Leverage Customer Analytics and Consumer Insights to Develop a Customer-centric Organization
    Aksel Bedikyan
    (Former) Director of Business Analytics and Consumer Insights, Cirque du Soleil

    Machine learning applies algorithms that learn as they
    process data. Use this technology to uncover hidden insights
    that your systems have not been expressly programmed to
    find. Create a plan to:

    • Mine data to identify investment opportunities and risks
    • Analyze data to create personalized shopping experiences
    • Identify patterns to reveal efficiencies in business processes

    Reveal hidden insights in your data with the power of machine learning

  • 4:00 PM
    Case Study: Blockchain Association of Canada
    Take Advantage of One of the Biggest Technological Revolutions
    Kyle Kemper
    Executive Director, Blockchain Association of Canada

    Blockchain – the technology behind bitcoin – is getting a lot of attention in the world of financial services, but its potential extends to virtually all industries. Explore what blockchain will mean for big data and your industry. Gain insights on:

    • Potential use across industries
    • How big data and blockchain work together
    • Practical applications of this emerging technology

    Develop a strategy to make blockchain work for your organization.

  • 4:30 PM
    Case Study: Cara Operations
    Use Data Visualization to Better Communicate Information
    Christian Rodericks
    Director Analytics & Architecture, Cara Operations

    Data, even when analyzed, is valueless, unless it can be understood and used by business leaders and frontline workers. Employ visualization to improve the way data is communicated so it can be better used across the business. Source practical tips to:

    • Transform complicated data sets into easily understood graphics
    • Use visualization to tell the story of data
    • Uncover insights not apparent in text format

    Improve the way you communicate data through visualization.

  • 5:00 PM
    Conference Adjourns
February 8, 2018
February 9, 2018
  • 9:00 AM - 12:00 PM
    Workshop A
    Rethink Your Business With Big Data And Analytics – a Strategy for Business Leaders
    Jake Freivald
    VP of Product Marketing, Information Builders

    As technology gets more complicated, we tend to focus more on the details we can manage instead of the high-level requirements that get us where we're trying to go.

    The quality of the analyses depends on the quality and completeness of the data, but even the best analytics won't help if it doesn't provide the business with specific value that drives it forward.

    In this data strategy workshop, you’ll learn how to achieve better alignment between business and IT, prioritize business initiatives and challenges, and identify the people, processes, and tools needed to support them. Take away:

    1. A use case of an automobile manufacturer leveraging the power of Sensor data analytics to transform and bring efficiencies into their manufacturing processes
    2. An assessment of your current “data state”
    3. Tailored recommendations based on that analysis
    4. An actionable worksheet that can serve as a checklist for continued planning
    5. A foundation for using data, including big data, and analytics to reach your organization’s business goals
  • 1:00 PM - 4:00 PM
    Workshop B
    Machine Learning: Process More Data, More Efficiently to Achieve a Competitive Advantage
    Lorne Rothman
    Sr. Data Sciences Specialist, SAS
    Cindy Zhong
    Sr. Data Scientist, SAS

    Machine Learning: Because of new computing technologies, machine learning today is not like machine learning of the past. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. The result? High-value predictions that can guide better decisions and smart actions in real time without human intervention:

    1. Machine Learning & AI: Why all the Hype?
    2. Computer Vision with Deep Learning: Image Processing and Analysis
    3. Real Time Fraud Detection on Streaming Data: Event Stream Processing
    4. Getting Value from your Unstructured Data: Text Analytics
  • 1:00 PM - 4:00 PM
    Workshop C
    Building an Advanced Analytics Team to Drive Results
    Dr. Eugene Wen
    Vice President, Group Advanced Analytics, Manulife

    An analytics program is only as good as the team that supports it. Ensure the success of your program by assembling a team of analysts, data scientists and others with the right skill sets and develop a strategic plan to achieve results. This workshop will address the following practical topics:

    1. Understand corporative strategic directions and determine where data analytics should sit in your organization
    2. Identify the skills your organization needs
    3. Recruit, train and retain skilled data professionals
    4. Establish strategic goals for your team
    5. Improve collaboration & integration with businesses
    6. Assess options in building COEs
    7. Deliver results and create business value

    Improve business results by assembling an advanced analytics team.

February 9, 2018

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