A good list of sources about AI for market researchers of all levels of expertise is provided.
The desire to question and push the boundaries of provided answers remains absent from the capabilities of AI. In its essence human nature is necessary to business decisions that better reflect the need presented by consumers.
Predominant qualitative data collection methods are high-touch, time-consuming and consequently expensive. But now, AI-enabled chatbots are presenting opportunities to collect qualitative data at scale.
GutCheck recently conducted a roundtable with three experts who weighed in on the changing expectations and challenges of market research and why it all matters.
Research needs to marry the observation and documentation of consumer behavior, with proven technology, to capture and measure behavioral drivers and influences in environments that come closest to approximating "shopper reality".
AI is enhancing both the hardware and software within mobile phones, with implications for both marketers and consumers.
AI can be used by brands to help improve relationships with consumers in many ways, including understanding their needs better, and aiding in retention.
How technologies like mixed reality, VR/AR, robotics, and blockchain can be leveraged to engage and empower end-users and patients to meet Canada’s healthcare challenges.
Researchers often feel threatened by non-primary data sources. However, it's important to recognize observed behavior is designed to complement, not compete with reported data.
Cybersecurity threats abound; defenses against them need to be constantly monitored and updated.