Part of my continuous learning, collaboration, and contribution is a comprehensive resource list, updated monthly. It includes four categories: strategic thinking, practical advice, product reviews, and a social context.
Ethics in People Analytics and AI at Work – Best Resources Read More »
You can’t evaluate AI solutions without understanding the basics of practical machine learning and predictive analytics. But you don’t have to be a data scientist for that. It’s like driving a car – you don’t need to be a mechanical engineer to buy or drive your vehicle.
HR Leaders in The 4th Industrial Revolution Read More »
Employees and candidates will judge employers, in addition to Employee Experience perceptions, by employer ethics in data management, and when feeling secure, they’ll be more receptive and enthusiastic to participate and cooperate with AI and ML to influence their career path.
Employees in the big data era: Will you let robots determine your future at work? Read More »