See more: https://thinkfuture.substack.comConnect with Zoher: https://www.linkedin.com/in/zzkaru/---Everyone talks about AI—but it’s data that still decides what works and what fails.In this episode of thinkfuture, host Chris Kalaboukis speaks with Zoher Karu, data and analytics leader with a PhD in engineering and experience at McKinsey, eBay, Citibank, Sears, and Blue Shield of California. Zoher now works with Taelor, a men’s clothing rental subscription service using data and AI to personalize style at scale.Zoher explains why “dirty data” remains one of the biggest unsolved problems in business—and why the issue isn’t technology, but how organizations are structured. Teams build data in silos to solve short-term problems, creating fragmented systems that AI can’t magically fix.The conversation moves from fashion and personalization to a much bigger question: what happens when AI quietly takes over everyday decision-making?We cover:- How Taelor uses data, metadata, and human stylists to curate clothing- Why clothing sizes are a data nightmare—and what that teaches us about AI limits- The real reason data quality is still broken across industries- How siloed teams create long-term data problems- Why AI will reduce the effort of finding information, not eliminate thinking -A future where tasks like planning events, shopping, and inventory management become automated- What humans should focus on when machines handle the mundaneZoher’s view of the future isn’t flashy—it’s practical. As AI handles more low-level optimization, human value shifts toward judgment, creativity, and deciding what actually matters.If you’re interested in AI, data, personalization, or the future of everyday decision-making, this episode offers a grounded look at where we’re really headed.