Technology Innovation

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The Hybrid Trap: Why Most Efforts to Bridge Old and New Technology Miss the Mark

Mature companies often lack the vision and the commitment to fully commit to new technologies — even when consumers are ready for them. This leads firms to develop watered down products with limited capabilities and leaves them exposed to upstart competitors.

The End of Scale

For more than a century, economies of scale made the corporation an ideal engine of business. But now, a flurry of important new technologies, accelerated by artificial intelligence (AI), is turning economies of scale inside out. Business in the century ahead will be driven by economies of unscale, in which the traditional competitive advantages of size are turned on their head.

Unpacking the AI-Productivity Paradox

Systems using artificial intelligence increasingly match or surpass human-level performance, driving great expectations and soaring stock prices. Yet measured productivity growth has declined by half over the past decade.

Great Ideas Are Getting Harder to Find

A wide range of evidence shows that U.S. research efforts are rising substantially, but at the same time, research productivity is sharply declining. Optimists hope for a fourth industrial revolution that will raise the bar again, while pessimists lament that most potential productivity growth has already occurred.


Developing Successful Strategic Partnerships With Universities

Collaborations between companies and universities are critical drivers of the innovation economy. As many corporations look to open innovation to augment their internal R&D efforts, universities have become essential partners. However, companies often struggle to establish and run university partnerships effectively.

Digital Transformation on Purpose

As digital technology advances, the opportunity to use it to create a more sustainable, equitable world should not be overlooked. The first step: Define key terms and set up a framework for understanding how the digital revolution can also become a revolution for sustainable development.

Focusing on What 90% of Businesses Do Now Is a Big Mistake

It’s not smart to base any part of your strategy on what you see in the rear-view mirror — and that’s particularly true when you develop strategies for navigating modern, thorny environmental and social challenges. The norms and expectations about how companies manage sustainability issues are shifting fast: Just six years ago, only 20% of the S&P 500 companies produced sustainability reports, while by 2016, 82% did. Change is coming to business — and executives need to adjust.

Sustaining Advantage With Transitory Technologies

Just when you have your data collection and analysis systems in place, technology changes mean that your company needs new, updated systems. This is a problem for many companies — but it can also be an opportunity. Organizations that work with data from old and new equipment can learn more about the shortcomings that modern techniques have in this context and can gain advantage in developing tools that no one else has.

Your Company Doesn’t Need a Digital Strategy

As sexy as it is to speculate about new technologies such as AI, robots, and the internet of things, the focus on technology can steer the conversation in a dangerous direction. Because when it comes to digital transformation, digital is not the answer. Transformation is. In various industries, including banking, paint, and shipbuilding, digital leaders are finding that technology’s value comes from doing business differently because technology makes it possible.


Five Management Strategies for Getting the Most From AI

A global survey by the McKinsey Global Institute finds that AI is delivering real value to companies that use it across operations. C-level executives report that when they adopt AI at scale — meaning they deploy AI across technology groups, use AI in the most core parts of their value chains, and have the full support of their executive leadership — they are finding not just cost-cutting opportunities, but new potential for business growth, too.

Digital Disruption Is a People Problem

  • Blog
  • Read Time: 5 min 

The key problem facing organizations with respect to digital disruption is the different rates at which people, organizations, and policy respond to technological advances. The gaps between innovations and their adoption — and organizations’ ability to adapt — pose a challenge for companies.

Accelerate Access to Data and Analytics With AI

Detailed and data-rich insights won’t help your company if your employees don’t know where to find them — but that’s a problem AI can solve. Machine learning can enable faster organizational learning by helping each employee quickly understand what others in the organization understand — forming a knowledge distribution network.

Supply Chains Built for Speed and Customization

Thanks to emerging technologies like 3-D printing, manufacturers can offer consumers customized products and do so with unprecedented speed. Intrigued by a new product you saw in a YouTube video? Well, someday soon you may be able to personalize it, order it via the company’s website, and have it in your hands in a matter of days. But to enable this phenomenon at scale, an entirely new model of supply chain is required.


Seeing Beyond the Blockchain Hype

Blockchain has recently taken center stage in the conversation about management’s digital makeover. Many believe the impact of blockchain on the ways organizations function and produce value may be greater than other technologies that have grabbed most of our recent attention — data and analytics, the cloud, even artificial intelligence.

Getting Past the Hype About 3-D Printing

Despite the promise of additive manufacturing, the authors argue, near-term expectations about how 3-D printing will revolutionize manufacturing are overblown. Much of the technology is still being hammered out, and the authors examine three important myths about additive manufacturing.

Companies Brace for Decade of Disruption From AI

With investments in Big Data bearing fruit, what do executives expect from the future? A new survey finds that artificial intelligence and machine learning are rapidly emerging avenues for innovation — and disruption. Nearly half of senior executives surveyed, from companies like American Express, Disney, Ford Motors, and General Electric, see disruptive change coming fast.

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