The DeAngelis Review

The article discusses Alan Turing's contributions to AI, including the famous Turing test and its variations. It explores how modern AI systems approach Turing's vision, while highlighting ongoing challenges in achieving true machine intelligence.

Companies face four key challenges: managing change, predicting the future, maintaining leadership authority, and staying relevant. Success requires cultivating employee buy-in, embracing digital transformation, and adopting flexible organizational approaches supported by AI technologies.

AI adoption success requires aligning technology with employee needs. Despite high executive support, many AI projects fail due to poor user adoption. Success depends on proper training, demonstrable value, and making AI tools accessible to non-technical staff.

Scientists study how the brain processes language, from ancient Greek discoveries to modern neural mapping. Recent research using microelectrodes reveals how brain cells encode word meanings, potentially helping develop speech prostheses for brain-injured patients.

The world's largest tech companies - Microsoft, Google, and Amazon - are investing heavily in nuclear power, particularly small modular reactors, to meet growing energy demands from AI data centers while maintaining carbon-free operations.

Businesses are evolving towards Autonomous Digital Enterprises (ADEs) characterized by agility, customer centricity, and actionable insights. ADEs leverage AI, automation, and advanced analytics to optimize decision-making and operations, reducing human intervention while increasing productivity. Most global decision-makers plan to embrace this model within 10 years.