Conference program

All sessions will be live streamed and on-demand replays will be available until Dec. 31, 2021.
A conference pass is required to attend these sessions. You can purchase yours now:

Business Strategy

  • Business Strategy
  • AI x DESIGN - DESIGNING AI-ENABLED PRODUCTS, SERVICES, AND PLATFORMS THAT USERS & CUSTOMERS LOVE

    9:00 AM - 9:30 AM
    $
    • Ramy Nassar Founder & Managing Partner, Author 1000 Days Out
    View details
  • The future of AI

    9:30 AM - 10:00 AM
    $
    • Maria Dimitrova Head of Business Development & Lead Auditor ISO 9001 IMSM
    View details
  • Networking Break

    10:00 AM - 10:30 AM
    $ View details
  • WHAT'S CHANGING (AND WHAT HASN'T) IN AI

    10:30 AM - 11:00 AM

    As we approach nearly a decade of talk about commercializing AI/ML, what lessons have we learned? In this talk, we'll share time-tested strategies for creating value with AI/ML as well as insights about how technology and market developments are changing who, how, and why models are being built and deployed. The presentation concludes by looking forward to the changes organizations should expect to see and can incorporate into their future AI strategies.

    $
    • Richard Zuroff AI Success Director DataRobot
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  • PANEL DISCUSSION: ENGAGING THE HOISTIC CUSTOMER STARTS WITH DATA HEALTH

    11:00 AM - 11:45 AM

    Data stewards today are tasked with bringing the 360-degree view of the customer to life, providing the business with insights that incite meaningful interactions across the customer journey. As these customer-centric initiatives grow, so does the need for trusted, quality data. ​

    Please join this session to discuss:​

    • Enabling data health to preventative measures easily​
    • Building a supportive culture across the data ecosystem for better business decisions​
    • Transforming consumer behavior data to empower enterprise decision making
    $
    View details
  • THE RELATIONAL VS. NON-RELATIONAL DATABASE DEBATE IS OVER: TOP 10 RDBMS-compatibility REQUIREMENTS FOR NOSQL PLATFORMS

    11:45 AM - 12:15 PM

    While NoSQL database platform popularity continues to soar, there are classes of applications that many IT teams refuse to move off of relational databases. These applications are often high-value, transactional systems that run core business processes. And while these systems are being migrated to cloud environments, they are not yet moving to NoSQL. This session will discuss ten key requirements that are keeping organizations away from NoSQL's flexibility and scale for these applications. Attendees will learn how modern databases will need to address important functionality such as distributed ACID transactions, SQL language support, schema compatibility, multiple data access modes, high-performance, mobility and more. 

    $
    • Jeff Morris VP, Product & Solutions Marketing Couchbase
    View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Business Strategy
  • Business Strategy
  • From product recommendations to offers performance: How AIR MILES drives end-to-end marketing solutions

    1:15 PM - 1:45 PM

    AIR MILES developed an AI-powered product recommendation engine, PRECISION™, used to send product recommendations and personalized offers to Collectors on behalf of its Partners. Once offers are in market, performance needs to be measured from a model point-of-view as well as its financial impact on the business. This session will dive into providing relevant product recommendations to maximize customer engagement with the right offer at the right time, and how AIR MILES quantifies the impact of its end-to-end marketing solutions. 

    In this session, we will look at:

    • How AIR MILES built their PRECISION™ recommendation engine
    • How it generates and serves offers to Collectors
    • How we analyze short- and long-term impacts to performance
    • How we deliver those insights to empower partner businesses to run more impactful campaigns.
    $
    • Maxime Guy Associate Director, Analytics & Insights Air Miles
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  • AI-Powered Digital Transformation in Healthcare and Life Sciences

    1:45 PM - 2:15 PM

    This session will review how AI is transforming how healthcare institutions operate and how life sciences organizations leverage AI to advance research and drug discovery. The organizations that are adopting AI are leading their industry peers in how patient care is delivered and the speed at which new vaccines are introduced into the market. In addition, the latest trends in the healthcare and life sciences industry, key challenges and best practices for adopting AI-based solutions will be reviewed. 

    $
    • Bill Wong AI and Data Analytics Practice Leader Dell Technologies
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  • PANEL DISCUSSION: DIGITAL IQ & MARKETING BIG DATA

    2:15 PM - 3:00 PM
    $
    • Adam Rodricks National Lead, Digital Services KPMG Canada
    • Carolina Bessega Chief Science Officer & Co-Founder Stradigi AI
    View details
  • Networking Break

    3:00 PM - 3:30 PM
    $ View details
  • HOW CMHC BUILT THEIR FOUNDATION FOR DATA MODERNIZATION

    3:30 PM - 4:00 PM

    Business users needed a better way to find, understand, and trust enterprise data. The Canada Mortgage and Housing Corporation’s data team, along with Accenture, embarked on a journey to modernize data operations from legacy systems to data lakes and warehouses. Identification of PII and sensitive data was of the utmost importance in the journey to mitigate associated risks. Gaining buy-in from stakeholders and fostering a culture of data ownership was essential for the initiative to succeed. Join this session to learn about: 

    • The challenges, successes, and lessons learned through CMHC’s data team and Accenture.

    • How to empower team members to find the data they need while mitigating privacy risks of sensitive and PII data.

    • Strategies to help ensure success of digital transformation projects.

    $
    • Nicholas Aubin Advisor, Data Information CMHC
    View details
  • Small Teams, Big Dreams: How You Can Get Started with AI Today

    4:00 PM - 4:45 PM

    Businesses are beginning to adopt the power that AI platforms provide for them. Those who are not leveraging their data with AI may soon be left behind the rest of the pack. Costly and lengthy technology projects have become a thing of the past as the emerging technology of machine learning platforms has shifted the focus from technical implementation to business outcomes. So how can you make AI work for you? 

    Mid-market organizations with fewer technical resources can finally utilize AI to focus on gathering information that solves the kind of real-world problems that their business is facing. Those who work with data are being called upon to do more, and AI is your ace in the hole. In this session, Carolina Bessega will share insights gleaned from implementing AI solutions at organizations across many industries. 

    Join this session and you will learn: 

    • Why and when you would utilize an AI platform
    • How to generate value from AI with just your current team
    • A simple path to incorporating AI into your data structure
    • How an actual business got started with AI with a small team and a lot of data
    $
    • Carolina Bessega Chief Science Officer & Co-Founder Stradigi AI
    View details

Technology

  • Technology
  • WANT TO ADOPT AI IN YOUR BUSINESS: GOOD LUCK!

    9:00 AM - 9:30 AM

    Did you know that only 15% of all AI projects developed today are actually used? Popular case studies circulating on social networks and in the media feature the giants of this world, the likes of Google, UPS and Facebook. 

    They are developing AI projects at breakneck speed thanks to their army of data scientists and billions invested in R&D. 

    Don't try this at home: replicate their success, in your company, with your context.   

    Replicating their recipe and waiting to meet all the winning conditions before launching an AI project will lead you to failure. You will lose time and you will be left behind by your competitors.  

    Don't worry, all is not lost. 

    In full transparency, Olivier Blais delivers a session on the current portrait of AI in business and proposes a new perspective based on his learnings in the field. You’ll discover the best practices and the right steps for the adoption of AI in your company. 

    If you have data and a business goal, don't miss this session. 

    Key takeaways: 

    • We have a tendency of thinking of too big when planning an artificial intelligence project. One must split up initiatives properly.

    • We're often skipping important steps. Transformation must be progressive and take into account the complexity of the project and the organization.

    • The end justifies the means. We need to think in terms of AI systems, not only AI models: quality, ML Ops, production environments, support. 

    $
    • Olivier Blais Head of Decision Science Moov AI
    View details
  • COMPLETING THE MACHINE LEARNING LOOP

    9:30 AM - 10:00 AM

    Completing the machine learning loop is fundamental to the progression of AI software. It requires the unification of code and data. Managing these two components will require processes and tooling to ensure that data bugs can be corrected just as quickly as code bugs.

    $
    • Jimmy Whitaker Data Science Evangelist Pachyderm
    View details
  • Networking Break

    10:00 AM - 10:30 AM
    $ View details
  • Creating Transparent Data Science Pipelines with Points

    10:30 AM - 11:00 AM

    In this fireside chat, Leonid Gilburd, Principal Data Scientist at Points speaks with Jag Gill, Head of Customer Success for Canada at Dataiku about what it means to build a centralized data pipeline to maximize time-to-value. Join them as they walk through real-life examples of the business, technology, and organizational lessons learned and best practices that can be implemented in your business.

     

    $
    • Leonid Gilburd Principal Data Scientist Points
    • Jag Gill Head of Customer Success for Canada Dataiku
    View details
  • Data as our Unfair Advantage: How AIR MILES leverages their data asset to drive value for their Customers and Partners

    11:00 AM - 11:30 AM

    As one of Canada’s largest loyalty programs, AIR MILES has over 10M Collectors who shop at more than 100 different retailers, generating a significant amount of customer-level data. With this data, the AIR MILES team leverages data platforms to integrate machine learning techniques, predictive analytics, and automated dashboards to uncover customer-level opportunities for our Partners. From supporting marketing personalization efforts, to helping forecast item sales at the store-level, these capabilities maximize Partner value out of the AIR MILES loyalty program. 

    In this session, we will discuss how AIR MILES turns data into value for Collectors and Partners through an integrated approach with data, marketing & technology teams. 

    $
    • Paul Raso Director, Data Products Air Miles
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  • PANEL DISCUSSION: BIOTECH DATA EVOLUTION

    11:30 AM - 12:15 PM
    $
    View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Technology
  • Technology
  • Delta Sharing: An Open Protocol for Secure Data Sharing

    1:15 PM - 1:45 PM

    Data sharing has become critical in the modern economy as enterprises look to securely exchange data with their customers, suppliers and partners. Until recently, data sharing has been severely limited because sharing solutions are tied to a single vendor, creating friction for both data providers and consumers. Databricks has pioneered a new way forward: Delta Sharing, an open protocol for secure real-time exchange of large datasets, enabling secure data sharing across products. We will discuss how we’re developing Delta Sharing with partners at the top software and data providers in the world, enabling users to directly connect to the shared data through pandas, Tableau, or dozens of other systems that implement the open protocol.

    $
    • Lee Blackwell Solutions Architect Databricks
    View details
  • AI, ETHICS AND ROBOTS: CONTEMPORARY PRACTICAL APPLICATIONS

    1:45 PM - 2:15 PM
    $
    • Dr. Rex Yeap Council IIPCC
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  • ML OBSERVABILITY:CRITICAL PIECE OF THE ML STACK

    2:15 PM - 3:00 PM

    As more and more machine learning models are deployed into production, it is imperative we have better observability tools to monitor, troubleshoot, and explain their decisions. In this talk, Reah Miyara, Co-Founder, Head of Product at Arize AI, will discuss the state of the commonly seen ML Production monitoring and its challenges. He will focus on how to use statistical distance checks to monitor features and model output in production, how to analyze the effects of the change on models, and how to use explainability techniques to determine if issues are model or data related.

    $
    • Reah Miyara Head of Product Arize AI
    View details
  • Networking Break

    3:00 PM - 3:30 PM
    $ View details
  • ML OBSERVABILITY:CRITICAL PIECE OF THE ML STACK

    3:30 PM - 4:00 PM

    The day the ML application is deployed to production and begins facing the real world is the best and the worst day in the life of the model builder. Debugging, troubleshooting & monitoring takes over the majority of their day, leaving little time for model building. In DevOps, software operations are taken to a level of an art. Sophisticated tools enable engineers to quickly identify and resolve issues, continuously improving software robustness. In the ML world, operations are still largely a manual process that involves Jupyter notebooks and shell scripts. One of the cornerstones of the DevOps toolchain is logging, it’s the foundation of testing and monitoring tools. What does logging look like in an ML system? 

    In this talk we will show you how to enable data logging for an AI application. We will discuss how something so simple enables testing, monitoring and debugging of the entire AI pipeline. We will dive deeper into key properties of a logging library that can handle TBs of data, run with a constraint memory footprint and produce statistically accurate log profiles of structured and unstructured data. Attendees will leave the talk equipped with best practices to supercharge MLOps in their team.

    $
    • Danny Leybzon MLOps Architect WhyLabs
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  • Orchestrating Multi-Cloud Data Pipelines with Control-M

    4:00 PM - 4:45 PM
    $
    • Joe Goldberg Innovation Evangelist BMC
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Leadership

  • Leadership
  • Enabling leaders to accelerate analytics innovation, drive growth and create a competitive advantage in their organization

    9:00 AM - 9:30 AM
    $
    • Gus Leite Digital Enablement Leader PwC
    • Alan Jacobson Chief Data & Analytics Officer Alteryx
    View details
  • Leader of the pack, or left in the dust? How effectively you use data analytics and AI just might determine where your company ends up!

    9:30 AM - 10:00 AM

    The increased availability of individual-level data both provides opportunities for companies to generate consumer insights and puts pressure on them to invest more on analytics and AI resources.  

    After all, any company failing to grab an opportunity available to the entirety of its industry is destined to fall behind competition.  

    Using findings from her extensive research, and real-life case studies, Dr. Kolsarici will share with attendees: 

    •  How managers can make business decisions by balancing traditional ”test and learn” with state-of-the-art analytics methodologies.
    •  Which companies benefit the most from emphasizing analytics over judgment-based rules.
    • How the successful use of AI and analytics contributes to sustainable competitive advantage and consequently, skyrocketing brand performance.  
    $
    • Dr. Ceren Kolsarici Associate Professor and Director of Scotiabank Center for Customer Analytics Smith School of Business, Queen’s University
    View details
  • Networking Break

    10:00 AM - 10:30 AM
    $ View details
  • WHY SAMSUNG TOP AI EXECUTIVE THINKS INCREMENTALISM IS HOBBLING AI

    10:30 AM - 11:00 AM

    Whether it's movies like Her, the computer of Star Trek, or Cortana from Halo, we have imagined computers having a voice. With the arrival of the voice assistant, that progress seems to have stalled. We now talk to computers like computers, in transactional, fully-formed sentences. We have arrived at a juncture where we see the entire AI community effectively traveling together, feeding off the outcomes of a few major labs. If there is one takeaway about Deep Learning, it's that we don't know what they really learn. How do you test if someone has learned? By asking them creative, non-memorizable questions. The time has come for us to plumb the depths of machine learning, and the tools are not GPUs, but our own minds. 
     
     

    $
    • Sajid Sadi Senior Vice President of Research at Samsung Electronics; Head - Think Tank Team, Deploy Team, STAR Labs Samsung Electronics
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  • LEVERAGING AI TO ENHANCE HUMAN CREATIVITY

    11:00 AM - 11:30 AM

    There exists today a false narrative that AI will supersede human intelligence and that few jobs will remain except those that require the highest levels of human creativity.  I disagree with this premise on a fundamental level.

    Human and machine intelligence are distinctly different yet a more than 50 year old notion of how the human brain “thinks” persists in the field of machine learning to this day. In this talk I will give a sense of the differences between human and machine intelligence, discuss how machines will never supersede human intelligence and give examples of work where using the algorithms and machines in the correct way can lead to enhancing human creativity. 

    $
    • Domhnaill Hernon Director Innovation and Creativity EY
    View details
  • PANEL DISCUSSION: Managing Data in a Distributed World

    11:30 AM - 12:15 PM

    Anyone who works with data often knows the power it has when it’s harnessed right. The power to make us more informed. The power to drive better business decisions. The power to unite us in a way only something as ubiquitous as data can. Join Collibra and our esteemed panelists as we explore the universal value of data and discuss:

    • How do you manage data in a distributed world?
    • How do you enable data for everyone in the organization?
    • How do you trust data in the always-on era?
    $
    • Tanja Glisin Data Governance Platform & Metadata Repository Strategy Manager, Chief Technology Office TELUS
    • Steve Hoskin VP Data Enablement & Architecture, Data Office Scotiabank
    • Ben Salvador-Watts Director, Data Platforms Moneris
    View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Leadership
  • Leadership
  • BREAKING THE GLASS CELLING IN TECH

    1:15 PM - 1:45 PM
    $
    • Adam Rodricks National Lead, Digital Services KPMG Canada
    • Sue Paish CEO Canada's Digital Technology Supercluster
    View details
  • THE ALGORITHMS AND ITS POLITICAL IMPLICATIONS ONLINE DISINFORMATION AND THE EVOLVING ROLE OF AI AND ML IN POLITICS

    1:45 PM - 2:15 PM
    $ View details
  • SPOTLIGHT ON AI USE CASES AND INNOVATORS AROUND THE WORLD

    2:15 PM - 3:00 PM
    $
    • Richard Boire President, Data Science and Machine Learning Boire Analytics
    View details
  • Networking Break

    3:00 PM - 3:30 PM
    $ View details
  • AI WORKFLOWS AND TEAMING - HOW DO TEAMS DELIVER AI PRODUCTS?

    3:30 PM - 4:00 PM
    $
    • Ashley Beattie Innovation and New Technology Consultant Agile By Design Inc.
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  • WORKING IN AI? THE CUTTING EDGE IS NOT JUST AT GOOGLE AND FACEBOOK

    4:00 PM - 4:45 PM

    If AI and ML researchers have a common refrain, it's "data, data, data!". The most interesting work requires interesting data combined with interesting insights. We must now ask the question: who has the interesting questions and insights? The big names in AI are exploring areas like generalized image recognition, translation, speech, and so on -- collecting data along the way. However, there are many businesses with troves of data (and insights about that data) that are just waiting to be explored. Join us in a panel discussion exploring what opportunities, insights, and untapped troves of information lie waiting for adventurous minds.

    $
    • Sajid Sadi Senior Vice President of Research at Samsung Electronics; Head - Think Tank Team, Deploy Team, STAR Labs Samsung Electronics
    View details

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