AI, Data, Analytics & Insights Breakout Sessions
11:00AM - 11:30AM Analytics For Innovation Anu Sundaram - Vice President, Business Analytics, Rue Gilt Groupe
How can businesses power their innovation journey with data and analytics? While Data and analytics are now table stakes to run a successful business, it has the potential to be much more than that, to unlock new opportunities. The range of impact is wide as it can easily identify tactical improvements to large revenue driving or cost savings initiatives. Businesses can continuously test, iterate, and improve upon these ideas, again leaning on data and analytics to quantify incremental impact and highlight areas that are successful or need improvement. In this session, we will discuss how businesses have successfully leaned into analytics to power innovation, and what have they learned in the process. Beginning with where you are as a business along with the commensurate business needs Identifying the most impactful area for further work Fine tuning what can be done to get the most important things solved through data and analytics Continually coming back to your theses and reorienting to what is needed most
11:30AM - 12:00PM Creating Customer Magic: Harnessing Generative AI to Fuel Insights for Innovation Kristyn Corrigan, Principle & Co-Owner, Applied Marketing Science
Knowing your customers better than anyone else creates an incredible opportunity for competitive advantage. Voice of the Customer (VOC) has been a best practice front end of innovation activity for decades, but executing systematic VOC is time-consuming and labor-intensive. Applied Marketing Science (AMS), in partnership with Professor Artem Timoshenko from the Kellogg School of Management, is exploring how custom Gen AI can accelerate and enhance VOC insights. The central question: can Gen AI produce detailed and actionable customer needs – the beyond-the-obvious, qualitative insights necessary for front-end innovation? Explore how Gen AI is propelling brands’ ability to obtain robust, actionable VOC insights for innovation. Discover how generative AI can unearth customer needs, even in complex, highly technical, or nuanced categories. See examples of how AI gathers comprehensive and detailed lists of customer needs. Hear about the future of Gen AI for VOC and what this could mean for the innovation community
Day 2 - FEI 2024 & Key Innovation Perspectives
30
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