Age of AI Canada

‍Explore the AI trends and research to cut through the hype and see why competitive advantage will come from turning AI into everyday working practice.

Through practical examples, attendees will learn what separates organizations that are experimenting with AI, from those that are gaining a true competitive advantage.

Key Takeaways

• Why most organizations are stuck between AI investment and actual adoption
• The concept of “Hype to Habit” and why behavior change is the real challenge
• Exclusive insights from Twenty44 AI/44 Index on how Canadian marketers are performing

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• Insights that drive the next best action rely on one critical element: trusted data. This session will share IQVIA’s journey into agentic AI. From product iteration to market impact, get a first-hand look at what it takes to ensure your insights can be trusted.
• See how complex market questions are broken into sub-tasks to retrieve the exact data needed for rapid, accurate market insights, helping leaders make decisions at the speed of change.
• Exclusive case study: Hear how a leading life sciences company accelerated its time to insight, improved operational efficiency, and scaled AI-enabled analytics across the organisation, resulting in faster decision-making and greater business impact

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• Discover how Sanofi leverages GenAI for content, enabling precise customization and brand consistency while scaling efficiently across markets.
• See how AI transforms Sanofi's healthcare communications by balancing personalization with compliance, creating meaningful engagement that matters.

• Learn how to spot real influence early, so launches and message adoption spread through peer networks.
• Create a compliance-safe model to capture and curate frontline clinical signals (MSL insights, RWE, peer consults) into usable learning.
• Leave with a shared operating language (KOL to COL) that enhances cross functional opportunity, turning uncertainty into action

• See where AI can drive meaningful value today, without pretending every use case is ready for scale.
• Learn why stakeholders clash on AI adoption, and how to get the right people aligned earlier.
• Walk away with a realistic path to test, govern, and scale AI in your business.

• Exclusive adoption and outcome data on rollout of AI coaching across multiple life science companies.
• See what “good” looks like in a scaled rollout: how trust was built and maintained. And how product updates are needed to meet end users' needs.
• Advance your personal and team's potential with instant, personalized coaching.

• Follow-up case study on the real-world deployment of an agentic AI clinical advisor across CABG patients pre- and post-surgery: what worked, what surprised us, and where challenges remain.
• Insights from over 50 patient experiences, including early findings from post-pilot surveys and anonymized excerpts from patient–AI interactions
• What these findings mean for the future of patient support and life sciences engagement.

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AI-driven platforms continuously optimise messaging, delivery and targeting in ways that are not built for regulatory alignment. In this short, punchy session, explore why MLR approval is no longer the finish line, and the key questions pharma leaders need to ask before campaigns go live.

In this 90mins hands-on workshop, attendees will be guided through a 3 stage rapid prototyping and training on Agent creation. By the end of the session, all modelled agents will be shared with some being built in real time for review.

• Map: Define where “AI-first” Agentic workflows add the most value: new roles & new goals.
• Model: Where to build first: PSP, Marketing ops automation, content/version control, insight-to-brief.
• Deploy: Guardrails that make it safe at scale: build on escalation control, with the correct humans remaining in the loop.

• As AI helps health systems identify patients earlier, reveal gaps in care, and support faster clinical decisions, life science companies have an opportunity to play a more meaningful role in improving system outcomes.
• Hear from Ontario’s Clinical AI Lead on what this shift looks like in practice, and what it means for patient support, HCP engagement, and future-facing medical and communications strategies. From patient finding and pathway visibility, to cross-sector collaboration, this session will show how life sciences can better align with the needs of a more connected healthcare system.

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• AI is rewriting what motivates teams. Learn to build cultures of trust, autonomy, and competence when algorithms join the team.
• Use inclusive leadership models to maintain belonging, creativity, and resilience.