About a quarter of high-tech companies are run by CEOs who double as inventors. Through patenting and publishing activity, such leaders contribute their own expertise to their companies’ innovation and production efforts, even as they steer their respective ships. This hands-on approach may sound like a distraction from strategic thinking, but it’s the future for top leaders across many sectors, not just tech — and it is already upon us.

As “digital” becomes the competitive priority in every industry, CIOs must lead their companies’ digital transformation — which requires much more than technology leadership. The technical side of operations — communications networks, software applications, and data management and security — must still run smoothly, CIOs must also adopt new practices and missions if they’re to evolve into transformative digital leaders.

There’s very little regulatory oversight for the tech industry, and this has become a problem. The status quo lacks transparency and shuts down competition — while holding no one accountable for breaches of trust. Some want big tech companies broken up. Others want stronger government oversight. They all are trying to answer the same question: What’s the best way to regulate the tech industry so that privacy and ethics concerns are addressed without stifling innovation?

An infographic explores distinctive characteristics of innovation in digitally maturing organizations.

Hoping a jack-of-all-trades can lead your organization’s digital transition is unrealistic. We found four distinct types of successful digital executives who can best provide vision and purpose for digital. Crucially, each type has unique strengths and performs best in different contexts.

Although most manufacturers are beginning to flirt with digital technologies, not one has successfully pulled off a digital transformation. CEOs still have to figure out its art — and science — forcing them to draw up their game plans on the fly, which inevitably leads to tension and trauma. But they are learning. Here’s how GE has navigated its own digital transformation process.

Patients are increasingly developing sophisticated medical devices and services to meet their own needs — often without help from companies that produce or sell medical products. In this way they are able to benefit from advances that aren’t commercially available. Here, we’ll look at two examples — a solution for managing Type 1 diabetes and one for managing Crohn’s disease — and consider them within the context of the free innovation movement that’s gaining momentum across industries.

Three principles show how successful retailers are responding to digital disruption and using insights to improve customer experience — not just in the end-of-year rush, but year-round.

Innovation is transforming the health care industry, with unlikely collaborators teaming up to provide higher-quality, lower-cost services. In this interview with MIT SMR, Harvard Business School professor Regina Herzlinger, an expert in health care delivery and innovation, discusses recent collaborations between retailers and insurers, such as CVS’s partnership with Aetna and Walmart’s with Humana, and explains why hospitals and other providers must be more innovative, too.

A 2018 research survey found that companies see competitors gearing up for big data and AI success — and that’s fueling their investment in similar capabilities.

Working with Lean Startup author Eric Ries inspired General Electric to test a new way of working. FastWorks is an agile process, complementing the Six Sigma process already in place at GE.

The senior director of the Cisco Digitization Office shares context on specific initiatives underway to keep Cisco relevant in a digital area.

John Glaser, vice president of population health at Cerner Corporation, discusses the opportunities and challenges presented by health care data.

The impact of artificial intelligence on the future of work and organizations was an especially popular topic on MIT Sloan Management Review’s website in 2017. But AI wasn’t the only subject on readers’ minds. Other widely read pieces of new content addressed timely issues like digital transformation and design thinking — as well as perennially important topics such as innovation, strategy execution, problem formulation, and negative emotions in the workplace.

Sam Ransbotham and David Kiron, co-authors of the 2017 MIT SMR Data & Analytics Research Report, “Analytics as a Source of Business Innovation,” shared the findings and insights from their research into the changing landscape for companies looking to embed data and analytics into their strategies, processes, and operations.

Two questions for AI managers; the DAO of blockchain business; standing up a successful innovation lab.

How blockchain could transform management; the Internet’s effect on innovation hubs; putting data to work with knowledge graphs.

Fast, iterative “virtual research centers,” where hypotheses are tested and improved before they are scaled into new products, are edging out traditional R&D approaches.

Bringing high-tech inventions built on patented technologies to market can be complicated and risky. The threat of added costs from patent infringement lawsuits has led technology companies to pool their talents — and patents — in technology consortia. Joining a tech consortium requires managers to weigh intellectual property value against the value of future collaborations and assess the consortium’s pros and cons for innovation, competition, and market creation.