Technology Systems

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How Do You Lead Digital Transformation?

  • Video | Runtime: 1:00:49

Many companies approach the transition from legacy to digital systems as a technology issue when it’s really a people and processes issue. This webinar featuring Gerald C. Kane and Anh Nguyen Phillips, coauthors of The Technology Fallacy: Why People are the Real Key to Digital Transformation, centers upon the strategic and leadership approaches that lead to success in digital transformation.

Technical Debt Might Be Hindering Your Digital Transformation

Data reveals the C-suite recognizes that technical debt — the “price” companies pay for short-term technological fixes — hinders their ability to innovate and adapt in the digital age. One strategy to combat technical debt? Digital decoupling.

Want the Best Results From AI? Ask a Human

Companies are adopting artificial intelligence at an accelerated pace — and learning that developing and deploying AI is not like implementing a standard software program. Before diving into AI systems, companies should consider three principles that can greatly improve the chances for a successful outcome. First, they need to recognize that humans and machines are in this together. Second, they need to teach the AI systems with a lot of data. And third, they need to continually test what the systems have learned.

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Following the Digital Thread: Revolutionizing Supply Chains

  • Video | Runtime: 0:05:53

  • Read Time: 2 min 

In Part 1 of our eight-part video series, we explore the real power of the digital thread, which lies not just in a “cradle-to-grave” virtual rendering of the manufacturing process, but also in the possibility of taking the lessons learned from analyzing product performance and applying them to future generations of the manufacturing process and product design.

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Give Technical Experts a Role in Defining Project Success

Poor communication between managers and technical experts is an obstacle to technology innovation that literally has been present for centuries. To overcome these issues, leaders need to absorb three key lessons about how to manage the inherent tensions between defining technical requirements and achieving valuable business outcomes.

The Jobs That Artificial Intelligence Will Create

A new global study finds several new categories of human jobs emerging. These roles are not replacing old ones. They are brand-new positions that complement the tasks performed by AI machines and will require skills and training that have never before been needed.

Analytics as a Source of Business Innovation

The 2017 Data & Analytics Report by MIT Sloan Management Review finds that the percentage of companies deriving competitive advantage from analytics increased for the first time in four years. Incorporating survey results and interviews with practitioners and scholars, the report finds that companies’ increasing ability to innovate with analytics is driving a resurgence of strategic benefits from analytics across industries. The report is based, in part, on MIT SMR’s seventh annual data and analytics global survey, which includes responses from 2,602 business executives, managers, and analytics professionals from organizations located around the world.

The Three New Skills Managers Need

As digital technologies evolve, managers and employees will need to learn three important skills: partnering with new digital “colleagues,” creating a mindful relationship with omnipresent digital technologies, and developing empathy for the varying technology preferences of their human coworkers. Organizations, for their part, will need to design processes to support these efforts, and managers will need to be both flexible and thoughtful in how they respond.

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Delta’s Digital Black Swan

What’s happening this week at the intersection of management and technology: how to avoid digital black swans; partnering with early-stage startups; the trouble with wearables.

Using Artificial Intelligence to Set Information Free

Artificial Intelligence is about to transform management from an art into a combination of art and science. Not because we’ll be taking commands from science fiction’s robot overlords, but because specialized AI will allow us to apply data science to our human interactions at work in a way that earlier theorists like Peter Drucker could only imagine.

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