Gary Drenik is a seasoned writer for Forbes, focusing on innovation in both large enterprises and small businesses through AI applications for consumer data. Since 2012, he has provided insights into innovative privacy-compliant predictive analytics and targeted marketing solutions.
It's easy to see why predictive analytics has such a powerful pull in today’s economic landscape. Forecasting tools promise a sneak peek into the future, allowing executives to make decisions based on what seems like near certainty. When these tools work well, they can feel almost magical, especially when paired with AI that crunches numbers faster than the most superhuman among us.
It’s ‘Unsustainable’—Tesla CEO Elon Musk Issues Serious U.S. ‘Bankruptcy’ Warning As Bitcoin And Dogecoin Fuel $3 Trillion Price Boom Apple is a great example of a company that does this well. By marrying data with a deep understanding of human behavior, wants, and needs, Apple has consistently created products that resonate with users and often shape or reset industry standards. Their success is a testament to the power of combining hard data with softer, human-centered insights.
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