AI is revolutionizing healthcare by processing vast data quickly for better diagnostics, treatment, and personalized care. It enhances accessibility, cost-efficiency, mental health support, and predictive analytics, while challenges like fairness and...
While gen AI is already having a profound impact on marketing activities like customer service and content creation, it has the potential to be absolutely revolutionary in another area: market research.
AI is transforming healthcare, and CMOs must focus on how it can enhance clinical practice, patient care, and efficiency while ensuring benefits for all stakeholders.
What would happen if CEOs began writing employee communications using gen AI? Would anyone notice? Probably not, according to a new study. But that doesn’t mean CEOs should use it to write everything. Here’s what they can do to effectively and transp...
Leaders often overlook issues from distressed physicians. This article discusses recognizing problem behaviors, assessing the situation, and effectively intervening to motivate change.
Why did Moody’s—a legacy financial institution built on risk assessment—move aggressively to adopt generative AI, an unproven technology? Because leadership calculated that the risk of standing still outweighed the risk of moving fast.
AI is transforming healthcare but raises complex legal issues, including licensure, privacy, data security, regulation, and liability. FDA and FTC frameworks are evolving, yet fragmented.
Creating a custom assistant is simple and requires no coding or technical experience; it can help with tasks from writing to generating troubleshooting and how-to guides, creating custom productivity tools, and getting feedback and coaching.
CEOs are seldom dismissed when the company they lead underperforms, in part because they wield considerable power over the board. So how can boards more effectively enforce CEO accountability in the face of poor performance?
This article explores social loafing, its causes, environments prone to it, and its impact on team performance. It offers 12 prevention strategies and a 35-question survey.
Rather than understanding DeepSeek’s R1 as a watershed moment, leaders should think of it as a signal of where the AI landscape is right now — and a harbinger of what’s to come.
