What is your data provider’s approach to leveraging artificial intelligence? Is it built on quality data?
This is hyper-relevant today as so many organizations are positioning themselves as “AI organizations” — yet so few have the experience, data, analysis and modeling capabilities, or quality control to earn that designation.
The right data supplier partner offers the “full package.” They connect you to the high-quality raw data needed to train models to deliver accurate, actionable insights. They help you merge those data sets so that they communicate optimally with each other. And they bring you into the fold of hard-won analysis and modeling expertise to help ensure you get the most out of AI — with as few of the risks as possible.
When you work with NIQ, you move through each of the predictive modeling and analysis phases with the highest quality foundations in place:
- Accurate raw data: High-quality raw data paves the way for high-quality predictive models. When you start with accurate raw data, you end up with cleaner models ready to deliver insightful analysis.
- Experienced, specialized talent: A team of uniquely qualified experts adds a layer of human intelligence to identifying and coding your AI/ML data projects.
- Best-in-class quality control: Your findings are protected along the way with quality control supported by human intelligence, which helps create more systematic, repeatable, and well-maintained AI/ML projects.
When approached as a healthy, growing extension of the organization, the application of AI and ML to complex data projects can truly shape their own destiny. Operational efficiency, improved product performance, and more accurate market forecasting … it’s all within reach today.
With a proven track record of success, I believe that NIQ is the industry-leading organization to help manufacturers and retailers grow by leveraging our rich data sets and the models derived from them. And by the time you’re done reading this piece, I think you’ll see that, too.