AI technology for Market Research
Speakers
Rolfe Swinton
VP Data & AI Innovation and Data Partnerships at NielsenIQRolfe Swinton is VP Data & AI Innovation and Data Partnerships, North America for NielsenIQ. He is an entrepreneur, business strategist and innovator. Previously he founded a number of pioneering companies in the insight and media industries including RealityMine, Lumi Mobile and Match Girl Productions. He has raised over $50M in venture financing from top VCs. He has co-led a $1Bn PE-backed rollup in the media industry. Rolfe also serves as adjunct professor of entrepreneurship and innovation at INSEAD. Swinton has a B.A. from Yale University, an M.Phil from Cambridge, and an MBA from INSEAD. He is married and has three children.
This webinar is brought to you by a unique collaboration between ESOMAR, the world's leading international research association; the University of Georgia's Center for Continuing Education, the leader in self-paced online research courses; Market Research Institute International, a non-profit educational institute comprising of practitioners maintaining and evolving the Market Research Core Body of Knowledge (MRCBOK™); and the Canadian Research Insights Council, Canada's market research association.
In this webinar we will discuss:
1. AI's Capabilities and Limitations: We will discuss the unpredictable and varied capabilities of AI, such as its proficiency in some tasks and weaknesses in others. We will discuss the importance of experimenting with AI to understand its strengths and weaknesses.
2. Human-AI Interaction: We will discuss importance of human involvement in AI processes and that people need to spend significant time using AI to understand its potential and limitations.
3. Organizational Impact: We will discuss ways AI can impact organizational structures and workflows and in particular the need for organizations to encourage AI experimentation and usage among employees.
4. Biases and Ethical Concerns: We will discuss the biases in AI systems, stemming from training data and human inputs. We will discuss the importance to understand and address these biases to ensure fair and ethical AI usage.
5. Future of AI: We will also discuss the fact that AI technology is rapidly evolving, and organizations must adapt quickly and why it is critical for companies to experiment with AI now.
Learning outcomes
You will get some specific suggestions on ways you can approach experimentation starting today, even if you haven't yet tried as well as some more advanced strategies for experimentation if you are already an advanced user.
You will get specific approaches to think about bias detection and comparing that to your existing anti-bias processes.
o Learn why you need to be experimenting with the use of AI in your business.
o Learn what you can do right now to safely experiment with AI.
o Learn to measure the positive impact of these experiments so you can scale.
o Learn how this kind of experimentation doesn’t require massive investments and rather how we can learn from others mistakes in making massive investments too soon.
All registrants will receive a link to the online recorded video, so you can view the webinar later if more convenient.