Expo program

All sessions will be live streamed and on-demand replays will be available until Dec. 31, 2021.
To attend these FREE sessions, you will need to register with an Expo Pass.

Demo Stage 1

  • DATAIKU: THE WORLD'S LEADING PLATFORM FOR EVERYDAY AI

    9:00 AM - 9:30 AM
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  • Session reserved for sponsors

    9:30 AM - 10:00 AM
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  • Networking Break

    10:00 AM - 10:30 AM
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  • Upskilling Quality Management in the Age of Converged Security

    10:30 AM - 11:00 AM

    Management systems are not new to the business. In the last three decades, organisations worldwide progressively embraced the ISO approach and started implementing management systems in conformity with its international standards. ISO compliant management systems are at a historically high level of implementation, which now includes an interest in systems compliant to standards that require extremely specific technical knowledge and competencies in areas such as information, cyber and operational technologies. ISO management system professionals have long been trained to operate efficient systems and help ensure that organisations conform to best practices. Upskilling available experts is regarded as an efficient way to guarantee efficiency.

    • Maria Dimitrova Head of Business Development & Lead Auditor ISO 9001 IMSM
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  • Storytelling with Data

    11:00 AM - 11:30 AM
    • Craig Bloor Senior Manager Analytics Lab TD
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  • SCALING AI AND DATA SCIENCE – 10 SMART WAYS TO MOVE FROM PILOT TO PRODUCTION

    11:30 AM - 12:00 PM
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  • Lunch Break

    12:00 PM - 1:15 PM
    $ View details
  • Demo Stage 1
  • Session reserved for sponsors

    1:15 PM - 1:45 PM
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  • Session reserved for sponsors

    1:45 PM - 2:15 PM
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  • Data Pipeline Orchestration in the Enterprise with Control-M: a demonstration

    2:15 PM - 2:45 PM

    To achieve the desired business outcomes, data-centric applications depend on enterprise-grade workflow orchestration to solve the challenge of running in production. See how organizations operate data pipelines that combine multi-cloud data services alongside traditional systems of record, at scale. This session will show how Control-M provides end-to-end visualization, predictive service level management, support for diverse users, robust security and governance with full integration into modern application build and release processes.

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  • Data Virtualization: Enabling real time Analytics to build insight over many sources of Data

    2:45 PM - 3:15 PM
    • Bob Neugebauer Chief Development Architect for Data Virtualization IBM
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  • Querying Data in the age of Fabric

    3:15 PM - 3:45 PM
    • Hebert W. Pereyra Chief Architect - Hybrid Data Management IBM
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  • Session reserved for sponsors

    3:45 PM - 4:15 PM
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Demo Stage 2

  • Classifying Sensitive Data with AI/ML: How Collibra delivers business and technical lineage with Data Catalog

    9:00 AM - 9:30 AM
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  • Democratize AI: H2O AI Hybrid Cloud

    9:30 AM - 10:00 AM

    The H2O AI Hybrid Cloud solves complex business problems and accelerates the discovery of new ideas with results you can understand and trust. Our comprehensive automated machine learning (autoML) capabilities transform how AI is created and consumed. We have built AI to do AI, making it easier and faster to use, while still maintaining expert levels of accuracy, speed and transparency. Key Features of The H2O Hybrid Cloud We deliver on our mission to democratize AI by moving people from idea to impact with the confidence to make, operate and innovate with AI on the H2O AI Hybrid Cloud.

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  • Networking Break

    10:00 AM - 10:30 AM
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  • COLUMNAR STORAGE + PYTHON: POWERING MODERN DATA SCIENCE AND ANALYTICS

    10:30 AM - 11:00 AM
    • Learn what columnar storage is and why it's so useful.
    • Attendees will be introduced to MariaDB's columnar storage engine, ColumnStore, and how easy it is to get started using it.
    • We will explore how you can use MariaDB's Python connector with the popular data science tool, Jupyter.
    • Using MariaDB Connector/Python with Jupyter during a live coding session, you'll learn how you can analyze and visualize massive amounts of data with MariaDB ColumnStore.
    • Robert Hedgpeth Director, Developer Relations MariaDB
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  • Building a Transfer Learning Data Product

    11:00 AM - 11:30 AM

    Transfer Learning (TL) is knowledge engineering to transfer learning between task domains. The machine learning model can learn from one domain and transfer knowledge to another task. However, Transfer Learning techniques are mainly used for Natural Language Processing or Image Classification and rarely being considered for structured dataset.

    This demo session will focus on possible techniques of Transfer Learning for tabular data, and how we can use different data science models and solutions and transform them into a Data Product which is production grade, robust, and scalable to multiple clients at the same time.

    • Somayyeh Aghababaei Associate Director of Data Science Air Miles
    • Prateek Jain Associate Director of Data Products Air Miles
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  • Layer 6 AI

    11:30 AM - 12:00 PM
    • Jesse Cresswell Senior Machine Learning Scientist Layer 6 AI, TD
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  • Lunch Break

    12:00 PM - 1:15 PM
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  • Demo Stage 2
  • Session reserved for sponsors

    1:15 PM - 1:45 PM
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  • Scaling AI and data science – 10 smart ways to move from pilot to production

    1:45 PM - 2:15 PM

    With the explosion of data, every application is now a data application. Learn why this has hundreds of software teams building their applications in the cloud across multiple use cases and industries. 

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  • Session reserved for sponsors

    2:15 PM - 2:45 PM
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  • Session reserved for sponsors

    2:45 PM - 3:15 PM
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  • Session reserved for sponsors

    3:15 PM - 3:45 PM
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  • Session reserved for sponsors

    3:45 PM - 4:15 PM
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