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The future of work has implications for companies and their workers, and we’d like to talk about that with you.
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The fear of massive robot-driven job loss needs a reality check. Blue-collar and manual services workers — the same groups automation forecasters view as most vulnerable — are currently experiencing one of the tightest labor markets ever. The more pressing problem is a lack of skilled and trained workers at a time of resurgent blue-collar job growth.
Data breaches cost companies millions, but loss of consumer trust and a damaged reputation have long-term impacts on corporate value. As more companies turn to cloud-based data management, they need to develop a crisis management plan for notifying those affected when their data security system fails.
If it’s your role to communicate data insights and persuade people to change their behavior, you’ll have more influence if you emphasize the people behind the numbers. By leveraging four techniques from storytelling, leaders can bring a richer understanding to the problem that the data reveals and the opportunities it presents.
Some leaders respond to disruption by acting on pressing, short-term issues. But prioritizing workforce development over the long term can bolster a company through a transition while boosting employee engagement and commitment.
Setting — and achieving — goals is a perennial strategic imperative, but there’s often confusion around best practices. Let’s talk about that and share some strategies.
In an interview with longtime collaborator Karen Dillon, Clayton Christensen discussed his influential body of work and his thoughts on the future of disruptive innovation. Both reflective and forward-looking, Christensen’s conversation with Dillon is an important addition to the canon of disruptive innovation.
Despite the ready availability of technologies like big data, most companies don’t yet capitalize on analytics. For organizations to fully leverage the insights they can derive from analytics and embed them into decision-making, a combination of three drivers is required: data and tools, talent, and culture.
This week’s must-reads for leaders: Disrupting the traditional model for education and talent development in the future of work; exposing the dark market for web browsing data; why companies need a new kind of CIO; and navigating complexity, strategy, and “growth” in a world in climate crisis.
Our economy cannot use resources or belch carbon at the pace it has if we want to keep the planet livable. The way we got here is now killing us. There’s a tension between the growth that nearly all economies and companies pursue — accepted almost axiomatically by economists and politicians — and the limits of the planet we depend on.
For companies across industries, every major technology choice now represents a vital business decision, and “good enough” decisions are anything but. Recent research shows that in order to move from average to exceptional, CEOs and IT executives will need to begin matching their technology investments to their ambitions.
Communication, collaboration, and relationship-building can be major organizational challenges. This conversation will expose the frustrations and opportunities our readers face. Discuss visual communication tools and strategies on Tuesday, Jan. 28, at 11 a.m. ET/8 a.m. PT
In a city that’s experienced tough economic times, entrepreneurism is blooming. But in resource-constrained environments like Detroit, individuals approach entrepreneurship in different ways than they do in affluent regions such as Silicon Valley. The accessibility and use of material resources within the entrepreneurial ecosystem shapes the experiences of its members in unique ways.
As technology and society continue to rapidly transform, it can also be overwhelming for managers and organizations to think about what to tackle next. With that in mind, we asked recent expert authors what is one critical area where leaders and organizations should focus their efforts in 2020 and beyond.
A digital twin is a virtual replica of an object, being, or system continuously updated with data from its physical counterpart. Supported by billions of connected global sensors, digital twins will soon exist for millions of things. Jet engines, a heart, even a city can have digital twins that mirror physical and biological properties. Real-time assessments and diagnostics will be more precise; repairs will be executed in the moment; and innovation will be faster, cheaper, and more radical.
The future of mobility with automated vehicles isn’t autos versus tech, but autos plus tech: collaborations that weave together products, services, and business models to meet the needs of individual users across wide-ranging use cases.
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