The Ethical Storyteller: Trusted Data Narratives with AI and Human Ingenuity

• How to transform raw data and campaign metrics into compelling stories that drive action.
• Core principles of data storytelling, including the Data → Insight → Narrative → Action framework.
• Ways to tailor your story to different audiences for maximum clarity and influence.
• How AI is reshaping storytelling in marketing through personalization, automation, and content creation.
• Key risks of AI-enabled storytelling, including bias, misrepresentation, and privacy concerns.
• Ethical and governance frameworks (NIST, OECD, ISO) that every marketing professional should know.
• How to build and present a mini data story, with peer feedback on clarity, impact, and persuasion.

• Gaining confidence in crafting persuasive, ethical data stories that resonate with diverse audiences.
• Strengthening your ability to influence stakeholders and secure buy-in with clarity and impact.
• Developing practical skills through hands-on storytelling exercises and peer feedback.
• Expanding your understanding of AI’s role in marketing storytelling and its governance frameworks.
• Building awareness of risks such as bias, misrepresentation, and data privacy—and how to mitigate them.
• Learning to connect narratives with measurable outcomes that demonstrate marketing value.
• Enhancing your professional toolkit with frameworks and strategies you can apply immediately to your own projects.

• Marketing & Communications Professionals seeking to turn data into stories that inspire action and build trust.
• Insights, Research & Analytics Specialists who want to translate metrics into narratives that guide decisions.
• Strategy and Business Leaders aiming to influence stakeholders and demonstrate impact with data-driven storytelling.
• Emerging Professionals looking to strengthen their networks, influence, and career growth in a tech-driven world.

Arundati Dandapani
Founder and CEO of Generation1.ca

Arundati Dandapani, MLitt, CAIP, CIPP/C, CIPM, is the Founder and CEO of Generation1.ca, a social enterprise and professional community placing North America’s newcomers at the forefront of data and insights innovation. She teaches business, data, analytics, and insights at Humber Polytechnic and the University of Guelph-Humber, and serves as Vice Chair of the Program Advisory Board at Algonquin College’s Marketing Research and Analysis program. She also contributes globally as a member of the Certification Advisory Board of the IAPP, where she helped launch the world’s first AI Governance Certification Program, and was a key overseas member of AAPOR’s Vision 2025 strategic planning committee. Recognized as one of the world’s top 75 data and insights legends by ESOMAR and Insight250 in 2023, her name is permanently honoured on ESOMAR’s Avenue of Excellence.

An award-winning author and industry leader, Arundati has published two books with more forthcoming, and she frequently chairs, presents, and reviews for global forums including AAPOR, WAPOR, ESOMAR, MRII, and the University of Georgia. Her groundbreaking paper Voicing the New Global Realities: Empowered Insights for an Underserved Market won Best Paper of the Year at ESOMAR Congress 2024, while her research on synthetic data in immigrant storytelling was featured at the same event in Athens. She has served as a judge for both the Insight250 and the Canadian Marketing Association Awards, and continues to shape global conversations on data storytelling, AI governance, immigrant integration, and ethical insights leadership. You can also reach Arundati at arundati@generation1.ca or connect via LinkedIn: linkedin.com/in/arundati

Cancellation or transfer of registration must be received by e-mail to learning@thecma.ca no later than ten (10) business days prior to the date of the training to receive a full refund. No refunds will be given for cancellations made less than ten (10) business days prior to the training date. If you registered for a training but are unable to attend, substitutions* are welcome any time prior to the original registration training date at no extra cost.

*Substitutions refer to the transfer of a registration from one individual to a colleague