AI Technology in Market Research
Learning is the main difference between Artificial Intelligence and Automation.
Automation is already widely used in the insights industry to speed up
recruitment, data collection, and analysis.
The biggest transformation AI has brought is the ability to process
large unstructured datasets quickly and efficiently.
NEXT ISSUE:
Research Strategies for Time-Constrained Teams
As an industry, we continually innovate research methods while working
within stakeholder constraints. Some strategies stand above the rest
for highly time-sensitive teams.
Virtual Market Research & Forecasting
Recruitment is expensive. Depending on sample size and task duration,
it can quickly consume a research budget.
One proposed solution is building virtual respondent panels from
smaller targeted samples to stretch insights budgets further.
Examples of AI in Real-Life Use
AI helps process open-ended data, predict behavior patterns,
and improve community engagement through automation and analytics.
Tools like Google Cloud Natural Language API can identify key
entities and insights from large text-based datasets efficiently.