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Big Data & Analytics Summit Canada 2025

Jun 4, 2025 | Toronto, Canada

Jun4

Big Data & Analytics Summit Canada
bigdatasummitcanada.com

When:

Key Features

2025 Highlights

  • Interactive Sessions: Hands-on workshops, roundtables, and face-to-face networking opportunities.
  • Real-World Case Studies: Insights from companies like Netflix, Vale Resources, MTY Group, and Sanofi.
  • Tailored Tracks: Explore Architecture & Engineering, Analytics/BI, and AI streams.
  • Hybrid Format: Attend in person or access content virtually, with AI matchmaking tools and on-demand sessions.

Topics of Discussion

  • Data Democratization: Agile practices in governance to empower teams closest to challenges.
  • AI Integration: Leveraging AI to improve customer experiences and operational efficiency.
  • Scalable Engineering: Harnessing AI’s acceleration to enhance models and architectures.
  • Innovation vs. Safety: Adapting to emerging technologies while ensuring compliance.

Why Attend

  • Expand Knowledge: Gain actionable strategies from top data experts across North America.
  • Unmatched Networking: Build connections through interactive sessions and curated opportunities.
  • Access Hybrid Features: Benefit from in-person and virtual participation options to maximize value.

Who Should Attend

The summit is designed for professionals in data and AI from diverse sectors, including:

  • Retail
  • Banking
  • Energy
  • Pharmaceuticals
  • Telecommunications
  • Entertainment
  • Manufacturing

Featured Speakers

  • Tejas Chopra, Senior Software Engineer, Netflix
  • Luis Caballero, VP, Marketing Analytics, HelloFresh
  • Shahir Mishriki, Global Director, Data & AI, Sanofi
  • David Legendre, Vice President, Data & Analytics, MTY Group
  • Avinash Koul, Vice President, Technology & Data, Dawson Partners

Agenda Highlights

June 4, 2025

  • Opening Keynote: The Future of Big Data in Canada
  • Panel Discussion: Democratizing Data Across Enterprises
  • Case Study: AI-Driven Customer Insights – MTY Group

June 5, 2025

  • Keynote Panel: Scaling AI in a Regulatory Landscape
  • Interactive Roundtable: Overcoming Data Silos
  • Closing Address: The Ethical Use of AI

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