Program : September 29th 2020

All sessions will be live streamed online and available on-demand until Dec. 31.

Big Data Conference Room

  • The Foundations of Data
  • Workshop: Deploying Spark ML Models using Sagemaker and MLflow

    09h00 - 10h00

    Building data science at scale is not an easy task and deploying models is even harder. Data Scientists often have to work with different frameworks and platforms to get things done. In this talk, the speaker will introduce Spark ML, Amazon SageMaker, and MLflow and demonstrate how to build an end-to-end pipeline using these tools. 

    • Shaohua Zhang CEO | Chief Instructor WeCloudData
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  • Break & Networking

    10h00 - 10h30
    $ View details
  • Harnessing the Power of Storytelling in Sports

    10h30 - 11h00

    How do you deconstruct and quantify the essence of powerful storytelling to drive meaningful fan engagement and grow brand affinity?

    Sports seems to bring out the best in storytelling – drama is built-in, and the main characters are heroic everymen and women who follow the ultimate Hero’s Journey. However, not all sports storytelling is created equal -- given that the plot and constructs of sports stories are often so similar, what differentiates one brand or piece of content from another? This ESPN project shows how research can develop a unique perspective on effective and impactful storytelling in sports that can be applied to media brands and content properties to guide future planning and investments. Through a holistic approach of qualitative and quantitative methods combined with advanced analytics, we are able to assess the characteristics of impactful and compelling storytelling in sport and evaluate specific brands/media owners/individuals on those metrics to identify new opportunities.

    $
    • Renata Policicio Vice President, Research And Insights, Global Markets ESPN
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  • Data Strategy for AI and Analytics Projects

    11h00 - 11h30

    As software vendors are innovating and making Ai and Analytics accessible to all organizations, data is in the center of it all more so than ever before. In this session we will examine the pre-requisite for all Ai / Analytics projects. We will discuss a data strategy that will set the stage and the corner stones for all Ai and Analytics projects.

    $
    • Hamid Djam CTO Analytics Dell Technologies
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  • Data Science and Automation

    11h30 - 12h00

    Data comes in all shapes and sizes. Today, organizations have access to the tools to process millions of data points to identify key insights, automate processes, build predictive models, and more. This presentation will demonstrate a natural language processing solution created to automate the review and analysis of external communication documents to identify key word combinations that could result in regulatory or legal risks. We will present machine learning approaches and techniques used to automate this process, and the outcomes achieved in reducing errors, improving efficiency and simplifying reporting.

    $
    • Carlo Lisi Senior Manager, Audit Analytics TD Bank
    • Edward Plantos Manager, Business Insights and Analytics TD Bank
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  • Lunch break

    12h00 - 13h00
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  • Big Data Conference Room
  • The Foundations of Data
  • Leveraging Big Data for A/B Testing

    13h00 - 13h30

    Learn about the fundamentals of A/B testing and how to interpret your results. Wish has been an early adopter of a discovery based feed. Our recommendation algorithm has been the product of countless iterations of A/B tests. We'll go over real case examples of how we were able to leverage Big Data to drive results that helped us grow to the $10B company we are today.

    $
    • Lin Song Data Scientist Wish
    • Frank Wu Data Scientist Wish
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  • Building an Analytics Practice From the Ground Up

    13h30 - 14h00

    Andrew leverages his extensive background in building analytics teams, at various organizations, to walk you through the key success factors in building a practice from the ground up. How do you get executive buy in?  What are the qualities of a great team? What’s the right structure for your organization?  What investment should you be making in AI?  This presentation is designed for executives and future leaders in analytics, and will arm you with the knowledge you need to get your business off the ground and running effectively.

    $
    • Andrew Ricchetti Head of Analytics 407ETR
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  • Learn why the Industry is Moving Towards ELT

    14h00 - 14h30

    Modern data teams require a modern approach. Traditional ETL is prone to course correction and cumbersome to maintain. With fully-managed ELT, you’re able to free up your engineering time and resources to enable your data teams to be more agile and responsive. In this webinar, learn how your organization can easily reap the benefits of this approach.

    $
    • Sean Spediacci Senior Product Marketing Manager FiveTran
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  • Data Governance: Panel

    14h30 - 15h15

    Data governance has emerged as a priority for organizations across a variety of industries. Understanding how data is being used, where it's found and who has access to it is the key to crafting effective data governance procedures.

    $
    • Nazia Shahrin Senior Director: Regulatory Strategy & Delivery Royal Bank of Canada
    • Julien Daniel Director of Data and Applied AI Yellowpages
    • Mark Treveil Lead Product Manager Dataiku
    • Mitu Mann [Moderator] Data Governance Leader, IT GoEasy
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  • Break & Networking

    15h30 - 16h00
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  • Data Saves Lives: The Power of Crowdsourcing in a Pandemic

    16h00 - 16h30

    Without data, we are tackling problems blindly. Many organizations struggle to gather data and often rely on large corporations or governments. Shrey Jain shares the lessons learned from leveraging crowdsourcing to survey half a million individuals in Canada within two months as well as engage a team of researchers internationally to support international communities' fight against COVID-19. 

    $
    • Shrey Jain Founder and President Flatten.ca
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  • An Architecture for Big Data: Supporting Journalism through Transparency in Advertising

    16h30 - 17h00

    It’s because of digital advertising that newsrooms are able to craft, fund and share their content with the world. But powering that digital advertising is no small feat – it involves architecting a solution that can support a transparent record of more than 140 billion auctions a day. Join Catherine Strong and Raman Sarvaria for a tour through the Big Data architecture that supports the Index Exchange product line.

    $
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AI Conference Room

  • Cultivating AI
  • Workshop: Designing Human-Centric AI Products, Services, and Platforms

    09h00 - 10h00

    This workshop will introduce participants to core principles and methods to consider in bringing a design thinking approach to working with Big Data and AI. Adapting methods from the field of human-centered design, this interactive session will empower the audience with practical tools that they can use to transform how they integrate AI and machine learning into digital products, services and platforms.

    • Ramy Nassar Head of Innovation Lab Mattel Inc.
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  • Break & Networking

    10h00 - 10h30
    $ View details
  • Using Big Data & ML for Client Growth & Retention

    10h30 - 11h00

    Information coming soon.

    $
    • Richa Hingorani Senior Director, Portfolio Management & Analytics Royal Bank of Canada
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  • The Future of AI: Panel

    11h00 - 11h45

    Industry experts come together to make predictions on how Artificial Intelligence will develop and advance in this decade. 

    $
    • Samer Geissah Director, Technology Strategy Telus
    • Masha Kandybin Divisional Vice President of Intelligent Automation Hudson's Bay Company
    • Yevgeniy Vahlis Head of Artificial Intelligence Technology Bank of Montreal
    • Shyana Srikanthalingam [Moderator] Director of Natural Language Processing Ryerson Artificial Intelligence
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  • Lunch break

    12h00 - 13h00
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  • AI Conference Room
  • Cultivating AI
  • Delivering Business Success with AI

    13h00 - 13h30

    Artificial Intelligence (AI) has moved into the mainstream across all areas of our lives.  It is all around us, helping us chose a movie on Netflix, or suggest products we should buy on Amazon.  The coupons we receive have been generated by AI, as well as the score we got when we were approved for a mortgage.   Advances in cloud technology, open source software, and algorithms have made AI more accessible, however it has also created more confusion in this space. AI changes how we solve business problems, it provides us with new opportunities and capabilities to solve complex business problems.  However, it also creates new challenges.

    In this presentation, Alina Rivilis MA, MBA, AVP Data Science at IGM Financial would present a framework for successful AI initiatives within an organization, bringing attention to the following key areas: 

    • Why there are still many companies that struggle with understanding of what AI is and what it can do for their business.
    • What AI means to the business?
    • How to prioritize use cases that drive value?
    • With lots of vendors and companies offering AI solutions (it is overwhelming to choose the right partner to deliver the right solution to the right business problem/outcome).
    • Improvements, adoption and ongoing learning is a priority for success

    Presenting on key lessons for using AI to generate business value, please join Alina Rivilis to discuss how to be successful with AI.

    $
    • Alina Rivilis AVP, Data Science IGM
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  • Cultivating an AI-Driven Enterprise

    13h30 - 14h00

    55% of Fortune 500 companies have invested over $50M in AI initiatives and have plans to continue expanding their investment year-over-year. Large organizations recognize the potential of AI and have embarked on a journey to become AI-driven, but in reality, very few have been able to scale AI in a meaningful way. In this talk, Lindsay Kulkin will share her perspective on the state of AI adoption across large organizations and how DataRobot has worked with their most successful customers to transform their culture and drive value with AI.

    $
    • Lindsay Kulkin AI Success Director DataRobot
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  • Predicting Content Virality to Drive Social Traffic

    14h00 - 14h30

    To amplify referral traffic, we have to promote the right piece of content at the right time. Learn how we've built AI-driven models that predict the content that is likely to go viral in the near future to inform our content marketing strategy on social. As a result, we have seen significant growth in our social traffic across our brands.

    $
    • Sriram Subramanian Head of Data Sciences Condé Nast
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  • Challenges of Machine Learning: the New ML Lifecycle

    14h30 - 15h00

    Machine Learning (ML) will fundamentally change the way we build and maintain applications. How can we adapt our infrastructure, operations, staffing, and training to meet the challenges of the new Software Development Life Cycle (SDLC) without throwing away everything that already works?

    After decades of software development, the industry has settled on a common set of roles, processes, and tools. Developers, DevOps engineers, QA engineers, and release engineers each understand their responsibilities, and CI/CD and version control systems automate the workflow.

    ML is the future of application development, but presently, most ML teams are flailing without any process–or trying to shoehorn their ML workflow into tools that don’t fit the requirements. This talk will help you understand the differences between the traditional and ML-driven SDLCs and build a process and stack to bring efficiency to emerging development.

    Topics include:

    • Why traditional software development works
    • The unique challenges of deploying and managing ML models at scale
    • How leading companies have built modern ML lifecycle automation
    • Integrating with existing life cycle management tools
    $
    • Diego Oppenheimer CEO Algorithmia
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  • Demystifying the Emerging Legal Issues of AI

    15h00 - 15h30

    The law has not kept up with the rapid developments in artificial intelligence and the deployment of AI solutions. Technology developers, providers and their customers should now more than ever understand how AI intersects with the law.  Organizations should take steps to ensure that it protects its intellectual property rights in the AI solutions it develops and deploys and any relevant outputs from these solutions.

    Who is responsible when AI goes wrong? Vendors and customers must understand who will be liable for any damages or losses caused by an AI solution and practical strategies to address this risk

    .

    $
    • Myron Mallia-Dare Associate Miller Thomson LLP
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  • Break & Networking

    15h30 - 16h00
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  • Deploying Distributed AI and Machine Learning in Financial Services

    16h00 - 16h30

    The Financial Services industry has the potential to benefit from the advanced application of Machine Learning and Artificial Intelligence by leveraging their vast data reserves in order to transform their businesses. However, keeping pace with new technologies for data science and Machine Learning can be overwhelming. Financial Services industry regulations can make it even more challenging to deploy and manage Machine Learning applications in large-scale distributed environments.
    In this talk, we will cover how to leverage your existing Big Data investment to deliver leading-edge data science using H2O. We will look at real customer use cases for AI and ML in Financial Services and discuss how to overcome deployment challenges in distributed Big Data environments in order to deliver transformational business results and faster time-to-value.


    Join this talk to learn how Financial Services organizations are extracting real business value with AI and ML.
    - How to train Machine Learning models at scale using distributed Big Data platforms
    - How to apply Automated Machine Learning (AutoML) to accelerate your model development pipelines
    - How to deploy Machine Learning models into production environments
    - AI in Financial Services success stories

    $
    • Dmitry Baev VP of Solutions Engineering H2O.ai
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  • Accelerating ML Impact

    16h30 - 17h00

    Many organizations struggle to derive benefit from their data science or machine learning (ML) teams, or have turned to external consultants for help. Stephen Chen shares a practical playbook that resulted in the rapid transformation of a laggard ML team to the most productive ML team - putting 60 models into production in 6 months.

    $
    • Stephen Chen Director Machine Learning RBC
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Cloud Conference Room

  • Cloudability Realized
  • Workshop: How to integrate AI in your compliance workflow?

    09h00 - 10h00
    $
    • Jennifer Arnold CEO and Co-Founder MinervaAI
    • Damian Tran CTO and Co-Founder MinervaAI
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  • Break & Networking

    10h00 - 10h30
    $ View details
  • Re-Thinking the Journey to the Cloud

    10h30 - 11h00

    Cloud Computing represents a fundamental shift in the way I.T. is delivered within private sector, government and not-for-profit organizations. And people are kind of freaking out. In this very entertaining presentation, Phil Keast compares the Cloud Journey to taking his family on vacation and remarkably the considerations, challenges, and solutions are remarkably similar. Drawing on a lifetime of stories and real world experience – Mr. Keast walks through the Cloud Journey to help you understand the challenges, and think about the solutions differently – and of course, you will come away with real strategies and tactics that you can use today on your particular journey.

    $
    • Phil Keast Director -Joint Defence Cloud Program The Department of National Defence
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  • Use Cases That Drive the Need for NoSQL Databases

    11h00 - 11h30

    Many organizations may not recognize when NoSQL databases are an ideal fit for their current or forthcoming applications. This session will illustrate multiple use cases –with real customer examples – where NoSQL databases should be considered. These examples include deploying offline-first, mobile and edge-oriented applications that must support on-the-spot processing; and situations where memory-forward performance and JSON flexibility mark the difference between application success or failure. If your existing applications are bending under the stress of increasing data and online activity or your next application needs to support CI/CD principles of agility, this session is for you. 

    $
    • Jeff Morris VP of Product & Solutions Marketing Couchbase
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  • Moving into the Cloud

    11h30 - 12h00
    $
    • Amar Narain CIO & Vice President, Information Technology Pizza Pizza Limited
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  • Lunch break

    12h00 - 13h00
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  • Cloud Conference Room
  • Cloudability Realized
  • Using ML to reduce cloud spend

    13h00 - 13h30

    One of the main reasons to move to the cloud is reducing costs and saving money. Adversely, the ease of provisioning additional costly resources on the cloud necessitates the need for tight spend control. Without this control, cloud migrations will not achieve its business goals and fail.

    Basic cost control can be achieved using simple reports, spend alerts and force-shutting-down of runaway projects. The next level of cost control includes storing details billing data and then using this data to: 

    1. Build dashboards that allow visualizing different aspects 
    2. Build ML models to predict future spend 
    3. Analyze what-if scenarios to reduce future costs

    To summarize, controlling cloud costs is critical to the success of any cloud implementation. To achieve that, you start with understanding the problem, making sure you have the right data to solve this problem, implement a solution, present and get feedback from the stakeholders and iterate.

    $
    • Ziv Pollak Cloud Sr. Strategy Manager Telus
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  • Deliver trusted data faster than the speed of business

    13h30 - 14h00

    Because they‘ve just focused on digitalizing their processes, organizations have failed to control data their digital transformation is producing. The results? According to a Gartner Customer Survey, organizations estimate the average cost of poor data quality at $12.9 million every year: massive amounts of poor data are snowballing in digital pipelines, leaving organizations with uncontrolled costs, time wasted and exposed risk of being fined for non-compliance with data regulations. 

    What if you could finally trust your data faster than the speed of digital, save organizations millions and free your data workers from tedious, hand coding work that impedes innovation?  

    In this session, discover how Talend can help you run trusted data at speed whilst removing the hassle of traditional legacy systems to finally untap the value of your data flows for all.

    $
    • Meena Ram Head of Enterprise Data Management CIBC
    • Dion Maynes Vice President, Canada Talend
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  • Couchbase for Mobile & Edge: Overview

    14h00 - 14h30

    Edge computing is a fast emerging distributed computing framework that brings compute and storage resources close to the data source, offering several benefits including savings in network bandwidth usage, low latency, availability, and enforcement of privacy policies. The “edge” comes in different form factors depending on the use case – for example, an IoT sensor, a mobile device, an aggregator such as an edge gateway, or a micro datacenter. In this talk, we will provide an overview of the Couchbase NoSQL database platform and how it delivers compelling offline-first experiences. During this conversation, we will touch on real-world uses cases and how Couchbase delivers exceptional business value.

    $
    • Priya Rajagopal Principal Product Manager Couchbase
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  • Moving into the Cloud: Panel

    14h30 - 15h15

    Delve into the best technologies and tools on the market to successfully migrate to the cloud. 

    $
    • David Polsky Managing Director Litcom Consulting Inc.
    • Karthik Ram Vice President in TechRisk Advisory Goldman Sachs
    • Veronica Arreaza Director, Cloud Program Assurance Royal Bank of Canada
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  • Break & Networking

    15h30 - 16h00
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Cybersecurity Conference Room

  • The Value of Cybersecurity
  • Sessions start at 10:30am

    09h00 - 10h30
    $ View details
  • Exponential Technologies & Cybersecurity – Key Challenges and Opportunities

    10h30 - 11h00

    Blockchain, AI, IoT, 5G, cloud are exponential technologies, that, when combined with innovative business practices, can result in companies achieving substantial scale and  growth while reducing operating costs. By their nature, exponential technologies allow for speed, agility, scale, and automation. As a result, they open up a world of opportunity across all sectors of industry and government.

    As a result of their intrinsic design and deployment, exponential technologies present both benefits and challenges for cybersecurity – each with its own unique challenges, Multiple technologies are now being used in tandem to address business problems - i.e., Actionable data collected via IoT, then analyzed with AI/ML for anomaly and fraud detection, and processed on a Blockchain for immutable trust and provenance of actions taken, etc. While each provides cybersecurity benefits – i.e., a distributed source of data, real time and predictive fraud detection, and distributed store of data; they also present challenges.

    It is imperative for organizations and cybersecurity professionals to understand the subtleties of each technology in isolation, and working in tandem.

    In this session, we focus on Blockchain and Cybersecurity – as this space offers one of the fastest growing areas of opportunity for cybersecurity, especially as Blockchains begin to enable global financial transactions, health services, supply chains, not to mention Central Banks looking to issue cryptocurrency-inspired digital currencies.

    $
    • Dawood Khan Founder TransformationWorx Inc.
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  • AI Risk Governance

    11h00 - 11h30

    Establishing confidence and trust when adopting AI is not a trivial pursue and risk governance has a role to play.  This session will talk about risk governance considerations when it comes to safe usage of AI and data. Will explore few myths such as risk  governance is “a hider to innovation” and “unnecessary as the business has done well”. It will talk about the key risks and some of the mitigating approaches and will show that each of us has a part to play. AI-related concerns cannot be ignored and sooner trust is established, faster innovation can be accelerated and full value of adopting AI can be achieved.

    $
    • Mihaela Capra AVP, Digital Innovation, Risk Management Sun Life Financial
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  • How AI can help saving time, money and your costumers information? Application of data science in Cyber security

    11h30 - 12h00
    $
    • Dr. Sahar Rahmani Director, JSOC Analytics RBC
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  • Lunch break

    12h00 - 13h00
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  • Cybersecurity Conference Room
  • The Value of Cybersecurity
  • Healthcare and IoT Cybersecurity in the New Age

    13h00 - 13h30

    Healthcare's response to the COVID pandemic was a mass migration to cloud services at a speed not conducive to best planning. Mistakes are likely to be made, as the adoption of cloud technology today could very well lead to a data compromise tomorrow. This is the risk we should be concerned about - explore the reasons behind some worrying cybersecurity statistics in 2020 healthcare, as well as trends and solutions in this segment.

    $
    • Logan Wolfe Managing Partner, Canada Wembley Partners Ltd.
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  • The IoT storm ... Will we survive the coming deluge?

    13h30 - 14h00

    IoT devices permeate the most intimate aspects of our everyday lives. Now more than ever we must address the risks associated with these always on, always connected devices!

    $
    • Robert Falzon CTO Check Point Software Technologies Inc.
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  • Thinking Ahead About AI Security and Privacy

    14h00 - 14h30

    AI has the ability to profoundly change every industry and every organization. While bringing substantial opportunities and benefits, this new general-purpose technology also faces significant challenges in security and privacy protection. Join us to discuss how healthy development of AI relies on the governance of AI security and privacy protection.

    $
    • Olivera Zatezalo Chief Security Officer Huawei Canada
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  • How To Get a Seat at the Table

    14h30 - 15h15

    Join our panel of experts as they discuss how to evolve an internal culture with a strategic and process-oriented approach to security and the benefits of implementing a collaborative approach with other teams based on enterprise challenges.

    $
    • Rachel Guinto AVP Global Information Security Risk Management Manulife
    • Dr. Ali Dehghantanha Director, Cyber Science Lab | Director, Master of Cybersecurity and Threat Intelligence Program University of Guelph
    • Erez Maharshak Senior Development Director Electronic Arts
    • Graeme Abrahams [Moderator] IT Manager - Infrastructure and Cybersecurity Operations Mount Sinai Hospital
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  • Break & Networking

    15h30 - 16h00
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  • Cyber Risk Management – Legal and Operational Perspective

    16h00 - 16h30

    Join Legal Expert Katherine E. Kolnhofer, Partner at Bell Temple LLP, as she provides an overview of Cyber Crime in Canada, the legal and operational risks and losses to organizations, and the measures that can be implemented to mitigate those risks.

    $
    • Katherine E. Kolnhofer Civil Litigator and Partner Bell Temple LLP
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