It didn’t take long for Andy Rossmeissl to realize AI’s potential for predicting most consumer decisions.

As the co-founder and CEO of Faraday, an end-to-end AI platform that transforms customer data into actionable predictive insights, Andy’s AI software has “made hundreds of billions of predictions for hundreds of consumer brands.”

“AI is really just the newest and best way to solve problems that growing companies have faced for decades,” Andy says. With huge companies like McDonald’s already spending $300 million on AI to help customize their menu for each customer, brands can’t ignore prediction software for much longer.

Using software to predict consumer behavior is becoming a necessity for modern-day consumer businesses, but there’s a right way and a wrong way to approach AI.

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On any given day, you can probably find Xavier Riley tinkering with the data.

As the Head of Digital Strategies and Innovation at Standard Industries, the world’s largest waterproofing and roofing company, Xavier commands the company’s data bank — its central repository for data.

Now, Standard Industries is the holding company for GAF and BMI, two of its operating companies that are well over 100 years old. So how do you use data in such, well, old companies and industries?

Xavier’s mission is to make data accessible to everyone at the company, and folks have caught onto the excitement. Using data, he’s finding new, innovative ways to make roof shingles “sexy again.” He’s studying ways to bring interest to the industry and drive innovation.

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