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CEOs who led their companies through serious cyberattacks share lessons learned and ways to boost your cyber resilience.
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.
Learn how grassroots automation helps companies speed up digital transformation efforts.
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.
The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
Learn to drive digital transformation by turning business-domain experts into citizen developers.
On the Me, Myself, and AI podcast, Daniele Petecchi discusses how Pirelli uses AI to develop tires more efficiently.
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.
Knowledge sharing platforms may not deliver full value if users are focused on self-promotion, not learning from others.
Innovators working on urgent problems need funders who understand deep-tech opportunities and take a long-term view.
Taking a three-stage approach can increase the likelihood of a successful digital transformation in manufacturing companies.
On the Me, Myself, and AI podcast, Mark Surman discusses Mozilla’s work to protect internet users as AI tools multiply.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
