Overcoming Barriers to Real-Time Analytics: Scaling for Success скачать в хорошем качестве

Overcoming Barriers to Real-Time Analytics: Scaling for Success

Overcoming Barriers to Real-Time Analytics, Scaling for Success Big Data & Analytics Summit Canada 2025 How can organizations overcome the technical and organizational barriers to real-time analytics at scale? In this panel from the Big Data & Analytics Summit Canada, data and analytics leaders discuss how enterprises are building the infrastructure, governance, and processes needed to support real-time data processing and analytics. The conversation explores strategies for scaling analytics platforms, improving data availability, and enabling faster decision-making across complex organizations. Speakers Jupsimer Singh, Data & Business Systems Lead, Vale Base Metals Jonathan Wiersma, Director – Data and Analytics Centre, J&J Innovative Medicine Chris Pierpan, Senior Director, Informatica Dr. Yvonne Leung, Professor of Analytics, Northeastern University Moderator Neha Balooja, Senior Manager Channel Performance and Marketing Analytics, Rogers Bank This session was recorded at the Big Data & Analytics Summit Canada 2025, a leading data analytics and AI conference in Canada that brings together enterprise leaders, data engineers, analytics professionals, and AI practitioners to discuss big data platforms, artificial intelligence, machine learning, and enterprise data strategy. The next 12th Annual Big Data & Analytics Summit Canada will take place: 🗓️ June 9–10, 2026 Toronto, Canada Sheraton Toronto Airport Hotel & Conference Centre Learn more about the upcoming event: https://bigdatasummitcanada.com/pricing/ Big Data & Analytics Summit Canada, real time analytics architecture, streaming data analytics, enterprise data platforms, real time data processing, analytics infrastructure strategy, artificial intelligence conference Canada, machine learning conference Canada, analytics summit Toronto