Leadership Skills
Want Better GenAI Results? Try Speed Bumps
Learn why humans miss generative AI mistakes and how AI speed bumps help, in this short video.
Learn why humans miss generative AI mistakes and how AI speed bumps help, in this short video.
Experts debate how effectively organizations are adjusting risk management practices to govern AI.
Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.
Watch this short video to learn more about how AI changes the rules of workforce management.
To succeed with machine learning, manage projects as business initiatives, not technology projects.
Two automation initiatives succeeded by scoring potential processes and combining technical and process knowledge.
Age-related cognitive changes can hinder workers’ technology use, but these strategies can help managers support them.
Taking a three-stage approach can increase the likelihood of a successful digital transformation in manufacturing companies.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
HR teams must prepare for generative AI’s effects on workers’ job roles, training, and access to information.
With a modest amount of training, nontechnical employees can automate complex processes.
In a Q&A, Power and Progress authors Daron Acemoglu and Simon Johnson discuss the social impact of technological change.
On the Me, Myself, and AI podcast, learn how social scientists help facilitate human-machine collaboration at Intel.
Hype around generative AI tools like ChatGPT impede business leaders’ ability to make well-informed technology choices.