Technology Implementation

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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.

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.

Justifying Human Involvement in the AI Decision-Making Loop

  • Blog
  • Read Time: 4 min 

Though AI is far from perfect, vast training data has given smart systems formidable accuracy in making independent decisions. Yet even as these decision-making capabilities improve, a Cold War history lesson reminds us that human involvement may still be needed to avoid intolerable consequences of incorrect AI decisions.

For a Return on Platform Investment, Focus on New Capabilities

  • Blog
  • Read Time: 5 min 

Business success today requires taking part in open platform ecosystems. But too many world-class product and services companies find their platformization quests narrowly defined, and end up with constricted or conflicted implementations. The ability of information systems and devices to exchange data isn’t enough in and of itself. Instead, developing new capabilities is the key to platform innovation that will add value to an organization.

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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.

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.

Big Data and IT Talent Drive Improved Patient Outcomes at Schumacher Clinical Partners

  • Interview
  • Read Time: 8 min 

Changing consumer expectations, new regulations, and an influx of patient data has created a perfect storm for health care organizations like Schumacher Clinical Partners to rethink how they leverage digital tools to better serve their patients and providers.

Accelerate Access to Data and Analytics With AI

  • Blog
  • Read Time: 5 min 

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.

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The Fatal Flaw of 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.

Video: Preparing for the Changes AI Will Bring to Tomorrow’s Jobs

At the MIT Sloan School of Management’s 14th annual CIO Symposium, “The CIO Adventure: Now, Next and… Beyond,” senior IT executives came together to discuss key technologies, including how AI will transform the workplace. The goal: to help prepare these tech leaders for challenges they face, including shepherding ongoing digital transformations, building a digital organization, and managing IT talent.

Ethics Should Precede Action in Machine Intelligence

As analytics and big data continue to be integrated into organizational ways and means from the C-suite to the front lines, authors Josh Sullivan and Angela Zutavern believe that a new kind of company will emerge. They call it the “mathematical corporation” — a mashup of technology and human ingenuity in which machines delve into every aspect of a business in previously impossible ways.

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Romantic and Rational Approaches to Artificial Intelligence

Organizations have made rapid gains in their ability to generate big data sets, but the ability of managers and executives to develop insights from that data has lagged behind. Data processing by artificial intelligence offers the prospect of speeding things up — but it also risks expanding the gap, as managers lack understanding of how AI reaches its data-based conclusions.

In the Hotel Industry, Digital Has Made Itself Right at Home

  • Interview
  • Read Time: 12 min 

Doing business digitally isn’t an “add technology and stir” proposition. Success in digital business means fundamental changes in how you do business. Marriott International’s George Corbin knows this all too well. “For any company that is being disrupted by digital, it’s important that they not just be able to recognize if there’s a potential threat to its existing business,” he says. “The bigger challenge is, how and what do you change to make the transition from where it is to where it needs to be?”

Showing 1-20 of 122