Kathryn Hume, VP of integrate.ai, discusses the current boundaries between artificially intelligent machines, and humans. While the power of A.I. can conjure up some of our darkest fears, she says the reality is that there is still a whole lot that A.I. can't do. So far, A.I. is able to accomplish some tasks that humans might need a lot of training for, such as diagnosing cancer. But she says those tasks are actually more simple than we might think - and that algorithms still can't replace emotional intelligence just yet. Plus, A.I. might just help us discover new business opportunities we didn't know existed.

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Few leaders have been trained to ask great questions. That might explain why they tend to be good at certain kinds of questions, and less effective at other kinds. Unfortunately, that hurts their ability to pursue strategic priorities. Arnaud Chevallier, strategy professor at IMD Business School, explains how leaders can break out of that rut and systematically ask five kinds of questions: investigative, speculative, productive, interpretive, and subjective. He shares real-life examples of how asking the right sort of question at a key time can unlock value and propel your organization. With his IMD colleagues Frédéric Dalsace and Jean-Louis Barsoux, Chevallier wrote the HBR article "The Art of Asking Smarter Questions."

Are You Asking the Right Questions?

Many people aspire to entrepreneurship but we all know it's a high-risk endeavor. Bill Aulet, the Ethernet Inventors Professor of Entrepreneurship at the MIT Sloan School of Management, has for decades studied what it takes for start-ups to succeed and advises the next generation of founders on how to do it. He discusses the key trends and changes he's seen over the past few years, and outlines concrete steps anyone can take to get a new venture -- including those within larger organizations -- off the ground. Aulet is the author of the newly updated book Disciplined Entrepreneurship: 24 Steps to a Successful Startup.

A Roadmap for Today’s Entrepreneurs

The amount of work we need to get done seems to grow daily. To avoid becoming overwhelmed, we have to become more productive than ever. Laura Mae Martin has advice on what has worked well at one of the biggest organizations in the world. She's the Executive Productivity Advisor at Google and shares the practical ways she helps her colleagues and company executives manage their time, calendars, email inboxes, and more. Martin is the author of the new book Uptime: A Practical Guide to Personal Productivity and Wellbeing.

Treat Email Like Laundry — and Other Tips from Google’s Productivity Expert

It's been nearly two decades since the term "glass cliff" was coined; it refers to the tendency for women to break through the glass ceiling to top management roles only when there is a big crisis to overcome, which makes it more difficult for them to succeed. In short, senior female leaders are often set up to fail — and this continues to happen today, as recent examples from business, politics, and academia show. Sophie Williams, a former C-suite advertising executive and global leader at Netflix, has researched why the glass cliff remains a problem and offers advice for women facing them — as well as lessons for the broader corporate world. She's the author of the book "The Glass Cliff: Why Women in Power Are Undermined - and How to Fight Back."

Why the Glass Cliff Persists

A growing number of workers are reaching retirement age around the globe. At the same time, many countries face a worker shortage, especially in critical areas like health care. Ken Dychtwald, cofounder and CEO of Age Wave, says it’s time for companies to stop overlooking this valuable labor pool, because AI alone won't alleviate the tight supply. He explains why many late-career people want to work longer. And he shares creative and often simple ways that companies can keep older workers engaged, including phased retirements, non-ageist recruiting, mentorship programs, and grandparental leave. Dychtwald is a coauthor of the HBR article "Redesigning Retirement."

Designing AI to Make Decisions

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