What's it about? 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.What's in it for me? In this webinar we will discuss: 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. 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. 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.  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 […]

What's it about? 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.What's in it for me? In this webinar we will discuss: 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. 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. 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.  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 […]

To assist you and your team’s efforts to mitigate fraud and improve data quality, leaders from the GDQ will provide important updates on recently released tools and standards. You’ll also get up to speed on the progress of several ongoing initiatives.  Join us to learn about:  - Clients’ Guide to Data Quality in Online Research - Technology Solutions - Data Quality Benchmarks - Guidance on End Link Fraud in Survey Research- Incentive Best Practices - Engagement with Law Enforcement Regarding Research Fraud - Data Quality Glossary Updates  See what’s coming next and how to get involved as we push towards a more transparent and healthy data environment.  The GDQ coordinates efforts by the Association for Qualitative Research (AQR), The Canadian Research Insights Council (CRIC), ESOMAR, Insights Association, MRS, QRCA, The Research Society (TRS), SampleCo n, and The Association of Market Research Austria (VMÖ) to address ongoing and emerging risks to data quality in the market and social research, consumer insights and analytics industry.

To assist you and your team’s efforts to mitigate fraud and improve data quality, leaders from the GDQ will provide important updates on recently released tools and standards. You’ll also get up to speed on the progress of several ongoing initiatives.  Join us to learn about:  - Clients’ Guide to Data Quality in Online Research - Technology Solutions - Data Quality Benchmarks - Guidance on End Link Fraud in Survey Research- Incentive Best Practices - Engagement with Law Enforcement Regarding Research Fraud - Data Quality Glossary Updates  See what’s coming next and how to get involved as we push towards a more transparent and healthy data environment.  The GDQ coordinates efforts by the Association for Qualitative Research (AQR), The Canadian Research Insights Council (CRIC), ESOMAR, Insights Association, MRS, QRCA, The Research Society (TRS), SampleCo n, and The Association of Market Research Austria (VMÖ) to address ongoing and emerging risks to data quality in the market and social research, consumer insights and analytics industry.