How automation, robotics, machine vision and AI are changing manufacturing work, which roles are growing, the skills that matter, and how employers and workers can manage the transition.
What ERP actually does, when a small business needs one, how to choose a system by starting from your problems, and how to implement it without the classic failures.
Use advance commitments and carefully chosen automation to support recurring work, with clear ownership, useful checks and a practical way to handle exceptions.
How economics, psychology, neuroscience, computer science, engineering, mathematics and operations research each contributed to the methods machines use to make decisions.
Automated systems and people both optimise what they are measured on. How objectives go wrong, how to balance multiple goals with trade-off analysis, and how to design rewards and KPIs that work.
Systems can learn by copying expert demonstrations. How behavioural cloning, cascading errors, expert correction and inverse reinforcement learning work, and what they teach about know-how.
Reinforcement learning lets systems learn decision strategies by trial and error, guided by rewards. A plain-English guide to how it works, its main methods, its risks and where it fits in business.
·10 min read
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