AI Technology in Market Research
Learning is the main difference between artificial intelligence V/s Automation.
Automation is already widely used in insights industry to speed up number of processes from recruitment to data collection and analysis.
Most notably change AI has brought in is the ability to Process large unstructured datasets
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Research Strategies for Time constrained Teams
As an industry, we are continually innovating research methods and working within the constraints set for us by stakeholders, but there are some that stand above the rest for the truly time-strapped teams
Virtual Market Research & Forecasting
Recruitment is expensive. In fact, depending on sample size and the length of a task, it can quickly eat away at a research budget. One proposed idea to reduce this cost and stretch insights budgets further is to build a virtual panel of respondents based on a much smaller sample.
Examples of AI in real life use
Processing open ended data Google Cloud Natural Language API provides a demonstration of this in action AI program recognizes “AI” as the most salient entity in the paragraph Proactive Community Management Behavioral Predictions driven by AI reduces disengagement risk. Overtime this means that a community managed with the assistance of an AI will lose less members to disengagement than a community without AI suppor