Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

In looking at the wide-spanning history of businesses, most started with an idea to solve a problem. Problem-solving is in itself a business model. Many entrepreneurs seek to solve the unsolvable, ...

Here’s how to enable your team to solve problems on their own so you can focus on strategic planning and growth. Your role as a leader is not to be the one who solves all the problems that arise in ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

What does it take to solve hard problems: There are 3 things essential to problem solving. The right paradigm Pattern recognition Insight The right paradigm: This is the most important part about ...

As a therapist, most of my day is spent helping clients solve a problem: With their emotions—anxiety or depression—with their relationships—their boss, partner, kids. What I’m always most curious ...

In today’s competitive job market, employers are actively seeking individuals who possess strong critical thinking and problem-solving skills. These two abilities go hand in hand, and together, they ...

We all have times when we're shouldering the burden of a problem we can't solve right away. For example, you might receive a stressful letter on a Friday that requires calling a government office that ...

Alan Veliz-Cuba has received funding from the Simons Foundation and the American Mathematical Society for some of his research. You can probably think of a time when you’ve used math to solve an ...

When computer scientists hang out at cocktail parties, they're apt to chat, among other things, about the single most important unsolved problem in computer science: the question, Does P = NP?

One of the pitches for investing heavily in AI—especially resource-intensive versions such as large language models (LLMs)—is the argument that these powerful technologies have the potential to help ...

Kevin Trenberth does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...