The Old Mill
Toronto, ON

Thursday, April 30 – Friday, May 1, 2020 

2020 Agenda

April 30, 2020
  • 7:30 AM
    Registration
  • 8:15 AM
    Opening Comments from the Chair
    Keith Jansa
    Executive Director, CIO Strategy Council of Canada
  • 8:30 AM
    Keynote Presentation
    Maintain your Competitive Advantage with the Future of AI
    Parham Aarabi
    CEO, ModiFace

    Thanks to Artificial Intelligence (AI), marketers have a massive opportunity to engage with the next generation of tech-inclined consumers. Clarify how AI is changing the way consumers interact with products and what this means for your company. Source practical tips to:
    • Understand the hyper-customization of products
    • Drive efficiencies in product development with AI
    • Clarify how AI is aiding customer decision making
    Leverage the future of AI to maintain your competitive advantage.

  • 9:00 AM
    Panel Discussion: Implementing AI Strategies
    Maximizing the Value of AI to Get Ahead of the Competition
    Dr. Wayne Madhlangobe
    Director, Artificial Intelligence, Air Canada
    Malay Parikh
    Former VP of IT, L’Oreal
    George Iskenderian
    Director, Big Data & AI, Bell

    AI is changing the way companies operate. Technology strategy is directly tied to the mission and values of the enterprise. Attain practical strategies to embrace AI technologies in your organization amid changing market expectations. Master the success factors to:

    • Harness AI and automation for your competitive advantage
    • Reskill employees for the future of work in AI
    • Foster a culture of innovation within your enterprise

    Innovate your organization with AI solutions.

  • 9:45 AM
    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 (AIaaS)
    • Manage your expectations for AI
    • Sourcing the right talent for your AI team

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

  • 10:15 AM
    Speed Networking

    Engage with leaders in the field of talent acquisition to expand your network and gain new perspectives. Quick rotations will help you break the ice as you get to know your fellow delegates. Bring your business cards, make new connections, and build your knowledge!

  • 10:30 AM
    Morning Break
  • 11:00 AM
    Industry Expert: Risk Management
    Understanding and Mitigating the Risk of Implementing AI in your Organization

    Implementing AI involves many departments, resources and people. As you embark on this essential journey, understand and mitigate the risks involved to ensure its success. Source practical tips to:

    • Understand the risks of AI pain points (data difficulties, implementation & security)
    • Explore the key core principals of AI risk management
    • Prepare a plan to avoid the pitfalls of AI implementation

    Protect your business by confronting the risks of AI.

  • Track A – Starting out in AI
    • 11:30 AM
      Case Study: State of North Dakota
      Laying the Groundwork for a Successful Data Strategy to Maximize the Value of AI
      Dorman Bazzle
      CIO, State of North Dakota

      A fundamental component of ensuring your data supports your goals is feeding the correct data into ML & AI processes. Perfect your strategy to provide useful data to AI systems. Develop a blueprint to:

      • Create data strategies to support your business strategies
      • Develop strategies to use legacy data with quality defects
      • Understand the limits of your data (bias, ethical and regulatory)

      Maximize the value of AI with a successful data strategy.

    Track B – Taking the Next Steps in AI
    • 11:30 AM
      Case Study: Stanley Black & Decker, Inc.
      Deploying Successful Machine Learning Models in Production Pipelines to Avoid Downtime
      Dr. Robert Joseph
      Director of Industrial Strategy for Industry 4.0, Stanley Black & Decker, Inc.

      Manufacturing has been adept in embedding ML into processes. Avoid costly downtime by successfully deploying ML in your organization. Walk away with an action plan on:

      • Data interdependability: changing anything changes everything
      • Data stability: code and data
      • Pipeline configuration

      Avoid costly downtime in your production pipelines with a successful ML deployment.

  • 12:00 PM
    Networking Lunch
  • Track A
    • 1:15 PM
      Industry Expert: Risk and Opportunity
      Employing Machine Learning to Identify Hidden Risks and Opportunities

      Machine learning applies algorithms that learn as they process data. 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 experiences
      • Identify patterns to reveal efficiencies in business processes

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

    Track B
    • 1:15 PM
      Industry Expert: Analytics
      Using Self Service Analytics to Improve Decision Making

      Guided, self-service analytics tools put the power of analytics in the hands of business leaders. Identify the tools you need to put the power of analytics in the hands of key decision-makers. Develop a plan to:

      • Empower users with agile and intuitive platforms
      • Create a simplified and personalized approach to analytics
      • Develop a scalable IT solution to meet business demands

      Maximize your ability to leverage data with self-service analytics.

  • 1:45 PM
    Panel Discussion: AI Talent
    Creative Strategies to Attract, Develop and Retain AI Talent
    Ajinkya Kulkarni
    Senior Director, Data Science and AI at Scale, RBC
    Peter (Jacob) Szaflarski
    Director, Data Engineering, Thomson Reuters
    Richard Downe
    Director of Data Science, Loblaw Digital

    Navigating the demands for qualified talent continues to be a challenge. Position yourself to compete for the next generation of skilled workers. Create an action plan to:

    • Develop new strategies to recruit AI and tech talent in AI
    • Define your needs within the labor market to recruit the best people
    • Improve change management in your organization

    Develop a plan to attract and retain top AI talent

  • 2:15 PM
    Case Study: Coca-Cola
    Improve Natural Language Processing to Develop Better Interaction with Customers
    Dr. Vijay Gandapodi
    Global IT Head – Data Science, AI/ML, Coca-Cola

    Chatbots have the ability to improve customer experience, but only if they are highly functional. Improve the way your chatbots interact with better NLP. Take away specific solutions to:

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

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

  • 2:45 PM
    Networking Break
  • 3:15 PM
    Panel Discussion: AI for CX
    How AI is Able to Change your Customer Experience to Drive Profit
    Mike Abramsky
    Executive in Residence, Enterprise Group, MaRS Discovery District
    Roberto Gennaro
    Chief Digital Officer, Redtag.ca
    Gayle Ramsay
    Head Marketing Brand - Customer Analytics, BMO

    AI is being used by leading customer experience teams to transform personalization. Deliver real-time personalized experiences to your customers, informed by customer data. Master the success factors to:

    • Aggregate data about your customers and their preferences
    • Use information about past interactions and purchases
    • Implement deep learning technology on industry trends and consumer behavior

    Use AI to create a personalized customer experience.

  • 3:45 PM
    Panel Discussion: Data Literacy
    Championing Data Literacy to Enable AI Conversations and Facilitate a Data Driven Business
    Kyle Chiman Cai
    Solutions and Analytics Specialist, UPS Supply Chain Solutions
    Tammy Labelle
    CIO, Public Services and Procurement Canada
    Sheeraz Ullah
    Chief Data Officer, Global Banking & Markets Canada, HSBC
    Shari Dworkin
    Director, Enterprise Data Services, Cancer Care Ontario

    Big Data and AI have become mainstream. Now, employees must develop the ability to communicate and understand conversations about data. Improve data literacy in your organization to maximize the business value of AI. Adopt best practices to:

    • Create an effective data literacy program
    • Educate executive leadership and front line leaders who implement data driven solutions
    • Raise awareness of literacy gaps between employees and departments

    Champion data literacy in your organization to become a data driven business.

  • 4:15 PM
    Closing Keynote
    Maximize Revenue, Reduce Costs and Mitigate Risk with AI

    AI is fundamentally changing the way we live and work. Move your AI adoption from start to scale to help your company maximize revenue, reduce costs and mitigate risk. Achieve a step-by-step action plan to:

    • Understand the risks associated with AI
    • Analyze where cost savings can be made
    • Scale up from early adopter stage to the next level

    Realize the benefits AI by mitigating risk.

  • 4:45 PM
    Conference Adjourns
  • 4:50 PM
    Event Reception

    Our reception gives delegates a final opportunity to mingle and network freely. The reception kicks off after the last session of the evening, a hugely popular social and networking event to meet your peers and share your industry insights.

April 30, 2020
May 1, 2020
  • 7:30 AM
    Registration & Breakfast
  • 8:15 AM
    Opening Remarks from the Chair
  • 8:30 AM
    Keynote
    Harnessing the Potential of AI to Drive Profit
    Tomi Poutanen
    Chief Artificial Intelligence Officer, TD

    AI and ML capabilities are helping businesses drive profit and connect with consumers. Address what it takes to leverage their potential effectively, responsibly and reliably. Create a roadmap to:

    • Find profit-driven opportunities to take advantage of machine learning
    • Navigate the AI era
    • Stay safe as your company innovates

    Harness the potential of AI & ML in today's complex world of business.

  • 9:00 AM
    Industry Expert: Checklist for Vendor Selection
    Asking the Right Questions to Select an Appropriate External AI Vendor

    Although AI offers exciting possibilities, selecting a vendor to partner with is tricky. Tackle critical questions, including who owns the data? What’s the right level of partnership with them? Understand how to set expectations and help select the right provider for your organization. Develop a blueprint to:

    • Provide the right information in your RFP
    • Understand the top considerations when choosing a provider
    • Reduce risk, complexity and cost when implementing an AI product

    Succeed in your AI projects by selecting the right vendor.

  • 9:30 AM
    Case Study: ROI
    Unlocking the ROI of Artificial Intelligence: Key Considerations for Business Leaders
    Jane Moran
    Senior Vice President, Data and Technology, Loyalty One

    Most business investments are approved based on predicted returns; however, estimating future returns for AI projects can be challenging. Transform how you identify ROI metrics to understand the return generated from AI projects. Create a roadmap to:

    • Measure AI ROI
    • Assess ROI in phases
    • Budget for AI projects and determine the level of investment

    Unlock the ROI of AI for your business.

  • 10:00 AM
    Morning Break
  • 10:30 AM
    Case Study: Digital Culture
    Creating the Right Culture and Gaining Buy-In from Employees
    Elie Alam
    Vice President, Digital Transformations, RBC

    Employees often feel threatened by new technology and it’s potential to streamline processes to a point where staff are redundant. Gain buy-in from employees by helping them understand the benefits of AI and how it will help improve the business. Master the success factors to:

    • Persuade employees of the benefits of AI
    • Use AI for employee collaboration
    • Engage employees with insights from AI systems

    Drive revenue by engaging employees with AI.

  • Track A – Starting out in AI
    • 11:00 AM
      Panel Discussion: Platforms
      Utilizing Data Platforms for Systems and Process Improvements
      Shari Dworkin
      Director, Enterprise Data Services, Cancer Care Ontario
      Peter (Jacob) Szaflarski
      Director, Data Engineering, Thomson Reuters
      Achille Ettorre
      Advisory Board Member, Master of Management Analytics & AI, Smith School of Business

      There is a growing demand for better use of data analytics to improve services. Use managed data platforms as a foundation for Business Intelligence, data mining, and advanced analytics. Source practical tips to:

      • Implement best practices of bridging the data gap to improve system performance
      • Harness the power of machine learning and predictive analytics
      • Ensure the proper governance of your data

      Leverage your data platforms for process improvements.

    • 11:45 AM
      Industry Expert: Intelligent Automation
      Utilizing Intelligent Automation to Increase Business Agility

      Robotic Intelligent Automation provides businesses with the capability to operate more efficiently. Do more with less by adopting intelligent automation in your organization. Talk away with an action plan to:

      • Raise operational efficiency
      • Improve product quality and service
      • Power new business process models

      Increase your business agility with intelligent automation.

    Track B – Taking the Next Steps in AI
    • 11:00 AM
      Panel Discussion: Legacy vs ML systems
      Overcome Legacy Infrastructure Challenges to Streamline your ML Implementation
      George Iskenderian
      Director, Big Data & AI, Bell
      Ajinkya Kulkarni
      Senior Director, Data Science and AI at Scale, RBC
      Richard Downe
      Director of Data Science, Loblaw Digital

      Large enterprises often have legacy systems which pose a challenge to ML implementation. Overcome the hurdles traditional infrastructure presents to streamline your ML journey. Take back to the office strategies to:

      • Identify the challenges legacy systems pose to your ML roll-out
      • Implement best practices to accelerate machine learning models
      • Overcome common hurdles in upgrading your legacy systems

      Transform your enterprise with machine learning infrastructure.

    • 11:45 AM
      Industry Expert: Predictive Maintenance
      Employing Predictive Maintenance with Big Data to Avoid Costly Downtime

      Unplanned downtime impacts the bottom line. Harness AI to perform maintenance proactively and reduce cost. 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

      Reduce your unnecessary downtime with predictive maintenance.

  • 12:15 PM
    Networking Lunch
  • 1:30 PM
    Afternoon keynote
    Laying the Groundwork for a Successful Data Strategy to Maximize the Value of AI
    Kamelia Aryafar
    Chief Algorithm Officer, Overstock.com

    A fundamental component of ensuring that your data supports your organization’s AI goals is having the correct data fed into ML & AL processes. Perfect your strategy and programs to provide useful data to AI systems. Develop a blueprint to:
         • Creating data strategies necessary to support your business strategies
         • Developing strategies for the best use of legacy data with quality defects
         • Understanding the limitations with your data (bias, ethical and regulatory)
    Maximize the value of AI with a successful data strategy.

  • 2:00 PM
    Industry Expert
    Utilizing AI Data Visualization Tools to Better Understand your Business Insights

    Data needs to be understood by almost all employees in an organization, from leaders to front line workers. Employ practical visualization tools to improve the way data is understood it can be better used across business units. Source practical tips to:

    • Transform complicated data sets into easily understood graphics
    • Easily tell the story of the data with clear visualizations
    • Uncover hidden insights from text content

    Leverage data visualization tools to better communicate your business insights.

  • 2:30 PM
    Afternoon Break
  • 3:00 PM
    Case Study: The Hospital for Sick Children
    Leveraging AI Model Development to Create Meaningful Insights to Improve Organizational Outcomes
    Dr. Devin Singh
    Physician Lead for Clinical Artificial Intelligence & Machine Learning, The Hospital for Sick Children

    Incorporating ML into traditional data infrastructure is becoming widespread throughout multiple industries. Create meaningful and accurate insights from your data with machine learning. Source practical tips on:

    • Proper methods to evaluate your machine learning models
    • Identify model bias and the potential impact it has on your models’ performance
    • The pre-emptive measures to take to ensure your model is delivering the right results

    Create meaningful and accurate insights with proper AI model development.

  • 3:30 PM
    Case Study: LG Electronics
    Avoid AI Failure by Implementing an AI Transformation Playbook
    Mohak Shah
    Vice President, AI & Machine Learning, LG Electronics

    Developments in AI are pushing digital enterprises to become intelligent enterprises. Avoid the pitfalls of implementing a flawed AI transformation in your organization. Take away an action plan to:

    • Mitigate the complex journey of why AI transformations fail
    • Deal with the AI transformation playbooks
    • Undertake a successful AI Transformation

    Successfully plan and implement your organization’s AI & Digital Transformation.

  • 4:30 PM
    Closing Remarks from Chair
  • 4:35 PM
    Conference Adjourns
May 1, 2020

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