In this eye-opening episode of “thinkfuture,” host Chris Kalaboukis investigates the paradox of data-rich systems that still struggle to anticipate our needs. Despite the vast amounts of personal information collected by modern technology, many systems seem to lag when it comes to providing intuitive, personalized experiences. Chris examines the limitations and challenges faced by AI and machine learning algorithms, while also exploring the potential barriers related to privacy and ethical concerns. Tune in as he discusses the future of data-driven technology and its potential to create truly responsive and adaptive systems that cater to our every need. Don’t miss this insightful conversation about the evolving relationship between humans and technology in the age of big data.

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