Smart Technology

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Surviving a Day Without Smartphones

For young adults accustomed to continually checking their cellphones, even a single day without access to them can be anxiety-producing. What are the implications for executives about managing this constantly connected generation – and their devices – in the workplace?

Are AI Learning Scenarios Unpredictable Enough?

  • Blog
  • Read Time: 4 min 

AI’s strength is processing input from many signals quickly to build an accurate short-term estimate of what will happen. But sooner or later, AI must confront the dark side of human behavior in real-world situations — where people don’t always respond in ways that make sense. The concern: When people know what AI will do, but AI can’t predict how people may behave, there’s an opportunity to “game the system” in ways that hurt businesses that use AI.

AI in the Boardroom: The Next Realm of Corporate Governance

Business has become too complex for boards and CEOs to make good decisions without intelligent systems. Just as artificial intelligence helps doctors use patient data to make better diagnoses and create individualized medical solutions, AI can help business leaders know more precisely which strategy and investments will provide exponential growth and value in an increasingly competitive marketplace.

Reshaping Business With Artificial Intelligence

Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet with change coming at breakneck speed, the time to identify your company’s AI strategy is now. MIT Sloan Management Review has partnered with The Boston Consulting Group to provide baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business.

When Jobs Become Commodities

Most of us view our jobs as specialized or somehow differentiated, but the world of business and management increasingly feels otherwise. For many organizations today, the next big driver of job commoditization is automation driven by smart machines. Simply put, if a job is viewed as a commodity, it won’t be long before it’s automated. The key for workers whose jobs have traditionally seemed safe: Highlight the tasks that require a human touch.

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The Fundamental Flaw in AI Implementation

Many managers are excited about smart machines but are struggling to apply machines’ limited intelligence. Indeed, computers can process data just fine, but to generate competitive advantage from machine learning applications, organizations must upgrade their employees’ skills. Companies will also need to redesign employee accountabilities to empower and motivate them to deploy smart machines when doing so will enhance outcomes.

When People Don’t Trust Algorithms

Even when faced with evidence that an algorithm will deliver better results than human judgment, we consistently choose to follow our own minds. Why? MIT Sloan Management Review editor in chief Paul Michelman sat down with the University of Chicago’s Berkeley Dietvorst to find out.

How Digital Media Will Bring Out Our Best Selves in the Workplace

Tomorrow’s most productive individuals will have more and better digital versions of themselves. The vision: Individuals will be able to utilize customized software and digital tools to improve their performance and productivity, with these digital versions of themselves able to significantly outperform their average self. In this world, AI will stand for “Augmented Introspection” as well as “Artificial Intelligence.”

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Building a More Intelligent Enterprise

The authors examine how managers can combine a sophisticated understanding of human decision making with technology-enabled insights to make smarter choices in the face of uncertainty and complexity. Integrating the two streams of knowledge is not easy, but once management teams learn how to blend them, the advantages can be substantial.

How “Smart” Is Your R&D Spending?

What’s happening this week at the intersection of management and technology: Getting “smart” with R&D spending; foiling the script kiddies; the quest for permanent agility.

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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.

Can Artificial Intelligence Replace Executive Decision Making?

Despite improvements in cognitive technologies, the “Jetson” dream managerial scenario of sitting back and letting machines do all the work is still far from reality. Decisions that executives face don’t necessarily fit into defined problems well suited for automation. Cognitive technologies will increasingly absorb the easiest aspects of executive jobs, but at least for the time being, countless decisions still require human engagement.

IoT and Implications for Organizational Structure

  • Opinion & Analysis

In this webinar, James Heppelmann, president and chief executive officer of PTC, discusses how IoT is transforming companies’ organizational structures. He illustrates the new need for companies to coordinate across product design, cloud operation, service improvement, and customer engagement, and some of the models for making the transition to a new structure, including centers of excellence and steering committees.

Leveraging Smart Data and Internet of Things to Realize Mass Customization

  • Research Highlight
  • Read Time: 1 min 

In an on-demand webinar, Wolfgang Gruel and Frank Piller detail new experiments in personal transportation. Gruel and Piller say that transportation customers are on the cusp of having seamless travel experiences that synchronize all transit options: schedules, traffic conditions, and personal preferences. But making this vision a reality requires knitting together previously independent systems — in part through smart data and the Internet of Things.

Showing 1-20 of 24