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Rugveda
Gawade
Director, Lead Data & AI Strategy
Interac
Rugveda is Director/Lead of Data and AI Strategy at Interac, bringing over 15 years of experience at the intersection of technology, data, AI, and business strategy. She specialises in aligning data and AI initiatives with business objectives, taking ideas from strategy through to implementation. Known for a holistic and innovative approach to problem-solving, Rugveda focuses on building strong foundations, identifying new opportunities for technological advancement, and empowering teams to deliver meaningful business outcomes.
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12 November 2026 14:00 - 14:30
From individual AI productivity to enterprise impact
AI is rapidly democratizing access to powerful capabilities, enabling individuals across organizations to experiment, automate tasks and discover entirely new ways of working. As AI evolves from individual assistants toward increasingly agentic capabilities, the opportunity, and the complexity, extends well beyond personal productivity. But unlocking individual productivity is only the beginning. The bigger challenge is turning that experimentation into sustainable, enterprise-wide business value. Drawing on practical experience shaping enterprise AI strategy, architecture and program capabilities at Interac Corp., a cornerstone of Canada’s digital economy and one of the country’s most trusted payments brands, this keynote explores how organizations can bridge that gap by building the capabilities needed to turn promising ideas into trusted, scalable solutions. The discussion will explore: → From access to opportunity: Enabling individuals to discover and identify meaningful AI opportunities aligned with business priorities → From experimentation to validation: Creating environments and pathways to test ideas, prove value and establish feasibility → From pilots to production: Building the shared data, technology, architecture and engineering capabilities needed to scale AI → Scaling responsibly: Embedding governance, risk management and oversight throughout the AI lifecycle without slowing innovation