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
  • THE RIGHT PATH TO ML: LEARN HOW TO DELIVER HIGH-QUALITY & ROBUST ML PROJECTS

    9:00 AM - 10:00 AM

    A data scientist told me once that training and selecting a model is only 20% of a ML project. This might sound anecdotal but it should not surprise any data science practitioners who have delivered a ML project. 

    So, what is the other 80%… 

    And how do you get your ML projects from an idea to a POC to adoption to ROI? 

    User needs, data gathering and cleansing, model validation, user training, governance. And we’re not even talking about the vast complexity of the infrastructure needed around your models. 

    At the end of the day, algorithms don’t implement themselves and we need rigorous processes and project management to get the value we want out of our AI projects. 

    Olivier Blais will guide you through the steps in a machine learning project lifecycle to successfully implement your next AI project. 

    What you'll learn:  

    • All the right steps needed to implement your AI project (from A to Z)
    • What important quality gates should be introduced in your project?
    • Key approaches and tools to evaluate the quality of your ML models. 
    $
    • Olivier Blais Head of Decision Science Moov AI
    View details
  • NETWORKING BREAK

    10:00 AM - 10:30 AM
    $ View details
  • WHEN AI GOES WRONG AND HOW TO FIX I FAST

    10:30 AM - 11:00 AM

    With algorithms making more and more decisions in our lives, from who gets a job, to who gets hired and fired, and even who goes to jail, it’s more critical than ever to get our intelligent systems talking to us so people can step in when things go wrong.  In the coming decade, organizations will face incredible pressure from regulators and the general public and that means every team needs a plan in place to find and fix mistakes fast or risk PR nightmares and financial disasters. I’ll show you how to build an AI Red Team to deal with everything from edge cases to outright AI breakdowns, while getting you ready to embrace the latest breakthroughs in explainable AI tomorrow. 

    $
    • Dan Jeffries Chief Technology Evangelist Pachyderm
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  • Cyberterrorism During and Post COVID-19: How the Pandemic Boosted Cyber Crime

    11:00 AM - 11:45 AM

    In times of financial or mental desperation the soil of extremist recruitment is at its highest fertility. COVID-19 has brought both financial and mental problems up sky high. With the rise of the Internet based secured communication apps it became easier than ever before to recruit or hire criminals nowadays from small, low-level cybercriminals to international terrorism. This session will discuss the major topics of interest:

    •  The rise of extremism utilized by technology in the past 5 years.
    • How does the COVID pandemic affected cybercrime and cyber terrorism and moved it from online to street violence during the pandemic.
    • What should we expect to come in cyberterrorism post COVID-19 pandemic?
    • What can we do to fight it and tackle one of the biggest problems we face these days?
    $
    • Dr. Hisham Qaddoumi I.T. / Cybersecurity Consultant QWS Technologies
    View details
  • HUMAN-MACHINE INTELLIGENCE IN CYBERSECURITY

    11:45 AM - 12:15 PM

    The recent wave of sophisticated cyber-attacks targeting both public and private sectors, with strong emphasis placed on critical infrastructure, has led to nationwide efforts to address the gaps. Aggravating this challenge is the acute shortage of skilled cybersecurity professionals in the industry.

    While AI is great at automating simple repetitive tasks, much of Cybersecurity is dynamic and prone to adversarial attacks, which are slipping through the cracks. This talk addresses how Human-Machine intelligence will redefine the way we defend against cybersecurity attacks. This new field in Cybersecurity can tip the odds that are stacked against us, while simultaneously elevating human potential to address sophisticated attacks.

    $
    • Tahseen Shabab Co-Founder & CEO Penfield.AI
    View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Business Strategy
  • Business Strategy
  • AI-POWERED DIGITAL TRANSFORMATION

    1:15 PM - 1:45 PM

    AI is fundamentally changing how businesses operate, redefining the way people work and transforming industries globally. In pursuing digital transformation initiatives, organizations need to capitalize on the opportunity with intelligent algorithms and models, improved processes, a data-centric culture, and an optimized software and hardware infrastructure to realize their full potential.

    Gain an understanding of best practices for digital transformation initiatives and how AI and data analytics can be leveraged to deliver business value. Review the latest trends and directions in the AI industry, key challenges, and best practices for adopting AI-based solutions.

    $
    • Bill Wong AI and Data Analytics Practice Leader Dell Technologies
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  • FIRESIDE CHAT: HOW AI IS MOVING FASHION FORWARD

    1:45 PM - 2:15 PM

    Today's Fashion Problematic: Human beings are all built differently, and our body measurements are a spectrum, rather than a pre-set size grid. AI is one of the tools that could help us break the sizing cage and manufacture clothes for every body type.  

    AI use cases in fashion:  

    Body size & measurements. Through feeding the Machine Learning algorithm a critical amount of quality data, essentially body pictures and respective measurements, we could predict perfect garment measurements in seconds for any new customer.

    All we need are, well, Big Data and AI!

    Virtual fitting room. With correct sizing and 3D, the customers online fitting experience becomes very close to  life-like.

    Challenges: Data Protection and Sensitivity.

    How AI will impact fashion in the future.

    Image Processing, Sizes & New trends prediction will become an integral part of fashion.

    AI opens the doors, wide open, for Supply Chain disruptions and manufacturing clothes On-Demand.

    $
    • Stephane Courtioux Founder & CEO SLEEVE
    • Marc Cortes Artificial Intelligence Commissioner HERMES AI Excellence Center
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  • Building and Scaling a Metadata Management Program

    2:15 PM - 2:45 PM

    TELUS is a world-leading telecommunications company, recognized in 2020 as having the fastest wireless network in the world. Join this session for their lessons learned in building and scaling a metadata management program with Collibra that supports their mission: to provide Canadians with access to superior technology that connects them to the people, resources and information that makes their lives better.

    $
    • Carine Botturi Director, Data Strategy & Enablement, Chief Technology Office TELUS
    • Yolande Dykstra Senior Technology Architect, Metadata, Chief Technology Office TELUS
    • Tanja Glisin Data Governance Platform & Metadata Repository Strategy Manager, Chief Technology Office TELUS
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  • THE DO'S & DON'TS OF BIG DATA ANALYTICS

    2:45 PM - 3:15 PM

    Exploring the use of Big Data analytics across virtually all industries in the last three decades,  we have  arrived at issues that practitioners need to consider:

    • Identifying the business problem and the relevant data associated with it
    • Determining the usefulness of data for future data analysis
    • What are the key considerations when employing advanced analytics
    • How to measure success or performance for a given model.
    • When models look too good to be  true(overstatement)   
    $
    • Richard Boire President, Data Science and Machine Learning Boire Analytics
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Technology

  • Technology
  • MASTERCLASS: BUILDING A DATA PLATFORM IN 2021

    9:00 AM - 10:00 AM

    After 30 years in the making, data teams finally have a set of tools to deliver great analytics experiences.  This Modern Data Stack is a cloud-native toolset that’s highly scalable and flexible, providing the data infrastructure to improve dashboarding, ad hoc analytics, and AI applications.  In this workshop, we’ll discuss the major components in the Modern Data Stack, how it can be used for common use cases, and how to get started.

    $
    • Ryan Janssen CEO Zenlytic
    View details
  • Networking Break

    10:00 AM - 10:30 AM
    $ View details
  • PATTERNS OF AN AI LINEUP CARD

    10:30 AM - 11:00 AM
    $
    • Ari Kamlani Senior Data Scientist - CTO Office, AI Solutions Beyond Limits
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  • DATA ECOSYSTEM TO POWER AI

    11:00 AM - 11:30 AM
    $
    • Nishan Subedi VP, Algorithms & AI Overstock.com
    View details
  • ML Meets NoSQL: Integrating Python User-Defined Functions (UDFs) with N1QL for Analytics

    11:30 AM - 12:00 PM

    With the release of Couchbase Server 7.0, we’re excited to launch a new feature that you can explore in Developer Preview mode: integration of Python UDFs with Couchbase Analytics. Machine learning has radically transformed the ways in which organizations understand their customer’s needs. Advanced analytics domains like predictive analytics (customer churn, customer sentiment, etc.) and financial modeling are growing more reliant on processing data at scale and extracting valuable insights from it. After conversations with our customers about the delay in obtaining analytical insights from their Python-based machine learning models, we set out to create a seamless pipeline from Python to Analytics that returns faster insights in real time.

    $
    • Luke Debruin Senior Solutions Engineer Couchbase
    View details
  • AI, Mindfullness and The Science of Happiness

    12:00 PM - 12:15 PM
    $ View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Technology
  • Technology
  • THE FUTURE OF DATABASES: COMBINING OPERATIONAL AND ANALYTICAL DATA AT MASSIVE SCALE

    1:15 PM - 1:45 PM
    • We'll explore the trends of modern applications, specifically the expectations for handling massive amounts of data.
    • You'll gain an understanding of the modern database landscape and the problems they aim to solve today.
    • You'll learn what distributed SQL solutions are and how MariaDB's distributed SQL solution, Xpand, takes database elasticity, scale and high availability to the next level.
    • You'll also learn about how MariaDB SkySQL, MariaDB's database-as-a-service offering, provides a distributed SQL solution and how easily it can be used to support the ultimate elasticity, scalability and availability for modern solutions and applications.
    • Diving deeper, you'll be introduced to the novel concept of MariaDB's columnar indexing with distributed SQL, and how it can be used to dramatically improve the execution speed of analytical queries on massive datasets.
    $
    • Robert Hedgpeth Director, Developer Relations MariaDB
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  • AIaaS with Dell AI ready infrastructure sending today

    1:45 PM - 2:15 PM

    ML and AI has mature from research centric exclusive club, to  mass market deployment IN MOTION. However, few obstacles still remain. The major is the massive difficulty of setting ML infrastructure (compute and storage) such that data scientists can get right to the job of developing and deploying ML models, and not struggling with 100’s of tools, configuration, setup, DevOps and other complexities which will drain their time and resources. Dell and cnvrg.io [cnvrg.io] have embarked on providing an AIaaS solution, which packages Dell AI ready infrastructure (compute, storage and services), with cnvrg.io [cnvrg.io] MLOps platform. cnvrg.io [cnvrg.io] is widely deployed by data science and now the bundle with Dell, will allow developers to have a quick start package which will get them right to the ML projects and flows, essentially in one-click. In this session we will cover the full stack AI solution, and the ability to provide both hybrid cloud, heterogeneous compute and managed services, all available with the Dell and cnvrg.io [cnvrg.io] solution. We will wrap the session a demo showing how all the ML magic works.

    $
    • Yochay Ettun CEO & Co-founder cnvrg.io [cnvrg.io]
    View details
  • Accelerating the Democratization of AI

    2:15 PM - 2:45 PM

    To achieve true, transformational progress in how we approach and ultimately solve problems as a society, we must get AI into the hands of many. This requires making this technology accessible to a broad user base and ensuring its applicability to real world needs. Join Sri Ambati, Founder and CEO of H2O.ai along with to hear how H2O Hybrid Cloud Platform is empowering organizations with the agility and confidence needed to solve complex business problems and accelerate the discovery of new ideas.

    $
    • Sri Ambati CEO & Founder h2o.ai
    View details
  • DATA & AI PLATFORM COMPONENTS IN AZURE

    2:45 PM - 3:15 PM

    Data & AI platform works together to make an organization data driven and AI powered. Azure platform is providing all the technical tools we require to build an enterprise end to end data & AI platform following dataops, mlops best practices. In this session we will talk about ideal architecture that can handle all the components in enterprise level.

    $
    • Rahat Yasir Director of Data Science & AI ISAAC Instruments
    View details

Leadership

  • Leadership
  • MODERN ARTIFICIAL INTELLIGENCE 1980-2021 AND BEYOND

    9:00 AM - 10:00 AM

    Significant historic events appear to be occurring more frequently as time goes on. Interestingly, it seems like subsequent intervals between these events are shrinking exponentially by a factor of four. This process looks like it should converge around the year 2040. The last of these major events can be said to have occurred around 1990 when the cold war ended, the WWW was born, mobile phones became mainstream, the first self-driving cars appeared, and modern AI with very deep neural networks came into being. In this talk, I'll focus on the latter, with emphasis on Metalearning since 1987 and what I call "the miraculous year of deep learning" which saw the birth of—among other things— very deep learning through unsupervised pre-training, the vanishing gradient analysis that led to the LSTMs running on your smartphones and to the really deep Highway Nets/ResNets, neural fast weight programmers that are formally equivalent to what’s now called linear Transformers, artificial curiosity for agents that invent their own problems (familiar to many nowadays in the form of GANs), the learning of sequential neural attention, the distilling of teacher nets into student nets, and reinforcement learning and planning with recurrent world models. I’ll discuss how in the 2000s much of this has begun to impact billions of human lives, how the timeline predicts the next big event to be around 2030, what the final decade until convergence might hold, and what will happen in the subsequent 40 billion years. Take all of this with a grain of salt though.

    $
    • Jürgen Schmidhuber Co-Founder & Chief Scientist NNAISENSE
    View details
  • Networking Break

    10:00 AM - 10:30 AM
    $ View details
  • Discuss the evolution Data & Analytics and the impact on the customer and colleague journey

    10:30 AM - 11:00 AM
    $
    • Tom Oddie Vice-President, Canadian Personal Banking Data and Analytics TD Bank
    View details
  • FIRESIDE CHAT: SOLVING MEDIA & ADVERTISING CHALLENGES

    11:00 AM - 11:45 AM
    $
    • Sonia Carreno President Interactive Advertising Bureau of Canada (IAB Canada)
    • Sasha Fay Director, Data Science & Research Cineplex
    • Noel Geer Co-Founder & CEO Connected Interactive
    View details
  • AI FOR HUMAN AND THE PLANET: AI IN NUTRITION

    11:45 AM - 12:15 PM
    $
    • William Brendel Co-Founder & Chief Science Officer Heali AI
    View details
  • Lunch Break

    12:15 PM - 1:15 PM
    $ View details
  • Leadership
  • Leadership
  • RAISING CAPITAL FOR YOUR STARTUP

    1:15 PM - 1:45 PM
    $
    • Tahseen Shabab Co-Founder & CEO Penfield.AI
    • Ryan Janssen CEO Zenlytic
    View details
  • HOW EXTERNAL DATA & INTELLIGENCE GATHERING IS TRANSFORMING THE PUBLIC SECTOR

    1:45 PM - 2:15 PM
    $
    • Ahmed Badruddin CEO Citylitics
    View details
  • BIG DATA CHANGES CUSTOMER ENGAGEMENT - IS YOUR MARTECH READY?

    2:15 PM - 2:45 PM

    According to the Experience 2030 study, the future of customer experience is here, and things will never be the same. 76% of marketers believe that a hybrid digital/physical engagement model is here to stay and most are rethinking what it means to deliver superior experiences because of it. With this world comes new and emerging technologies that offer customers more conversational, immersive and responsive experiences. And these experiences that have a profound impact on the martech stack - the data is bigger, the interactions more personal, and the responses more immediate.  

    In this session we will discuss: 

    • How technologies such as AI-powered chatbots, smart devices, location-based services are shaping customer engagements. 
    • Ways to create more meaningful, immersive and immediate personalization. 
    • How the martech stack must change to accommodate the new engagement models. 
    $
    • Lisa Loftis Principal Product Marketer Global Customer Intelligence SAS
    View details
  • HACKING THE HUMAN MIND: THE RISE OF SOCIAL ENGINEERING SECURITY THREAT

    2:45 PM - 3:15 PM
    $
    • Dr. Hisham Qaddoumi I.T. / Cybersecurity Consultant QWS Technologies
    View details
  • Data and Analytics Talent: Managing the workforce of the future

    3:15 PM - 4:00 PM
    $
    • Sidita Zhabjaku AVP, Analytics Strategy & Planning TD Bank
    • Adrian Lok AVP, Enterprise Data & Analytics TD Bank
    • Charline Simon AVP, Personal Banking Analytics TD Bank
    • Jeanne Foucault AVP, Data and Analytics, Customer Assistance TD Bank
    • Anoop Gulati Associate Vice President TD Bank
    View details

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