[WEBINAR] Accelerating Innovation Development with Synthetic Data

Join Ipsos for a discussion of how synthetic data approaches to AI can be used with concept and product testing to reduce speed to market while producing better results.

82% of CPG leaders expect innovation to drive growth, but as many as 60% believe their innovation cycles fall short. Speed to market is essential in driving success against competition. But speed can’t come at the cost of performance. Integrating AI into innovation development cycles can accomplish both of these challenges when done right.

During this session, we’ll first demonstrate use of synthetic data for early stage innovation testing – demonstrating how “failing fast” can improve your overall innovation potential. Our synthetic data approach accelerates the testing timeline to hours instead of days, while producing results with an accuracy rate of 85% compared to real respondents.

We’ll also show how synthetic data sources can be incorporated into product testing. As organizations look to move faster and do more with less, synthetic data can augment smaller human samples to deliver product testing results that closely mirror larger studies. Join us to learn how a human-plus-synthetic approach can maintain decision quality, with validation research showing that samples seeded with as few as 50 respondents can reproduce key product-testing outcomes from much larger studies.

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