[Webinar Recording] How to Implement Game-Changing AI Now to Meet the Evolving Needs of Brands
Watch the video to learn how you can implement AI into your research strategy.
Artificial intelligence already exists in so many facets of our life - from spam filters to fraud detection to facial recognition. Consumers are adjusting their expectations as these changes happen around them, expecting products and brands to behave faster, smarter, and much more personalized than ever before. As a result, brands need to understand their audience and meet customer expectations at a rapid, constantly changing rate.
This is where AI comes in. AI is making its impact on market research - making it possible to combine qualitative and quantitative research, engage hundreds of people at one time, and reduce the time to insight drastically. The ability to scale your research and shorten delivery time without reducing quality has become a necessity in 2018- and can only be achieved with the help of AI and machine learning.
This session dives into the ways AI is changing the market research process forever and how you can start implementing artificial intelligence into your research strategy this year. We’ll also give you a glimpse into the future of AI and market research and how you can stay ahead of the curve in a way that will benefit your organization, clients, and bottom line.
View the recording. You will learn:
- How AI is changing both the process and outcomes of traditional market research
- The new ways of conducting market research that are becoming the norm that every researcher should be aware of
- Actionable ways you can already start implementing AI in your market research process for increased efficiency and accuracy
Andrew Konya, CEO, Remesh
Andrew Konya, CEO - Born and raised in Cleveland, Andrew was working on ways to apply supercomputing to physics problems as a student at Kent State University when he developed a fascination for the human mind & shifted his focus to artificial intelligence. Since then Andrew has spent the past 8 years developing and applying artificial intelligence and machine learning algorithms to problems in material science, bio-sensing, image analysis, and language. In his free time he writes music, makes art, and works with the United Nations in applying AI to peacekeeping operations.