Artificial Intelligence

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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.

Augmentation Versus Automation: AI’s Utility in the Workplace

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On May 23, 2017, the MIT Sloan School of Management hosted the 14th annual CIO Symposium: “The CIO Adventure: Now, Next and… Beyond.” The one-day event brought senior IT executives together to discuss key technologies, including IoT, AI, blockchain, big data, DevOps, cloud computing, and cybersecurity. The main idea was to help prepare these tech leaders for challenges they face, including shepherding ongoing digital transformations, building a digital organization, and managing IT talent.

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How Far Will Robots Go?

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The debate over the effects of artificial intelligence on employment continues to keep economists busy, with some suggesting that there is no assurance that jobs that were once considered “safe” will be safe for long.

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.

AI and the Need for Speed

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AI is rapidly changing how organizations make decisions, serve customers, increase quality, and reduce costs. But the pace of change may be too fast for managers to effectively manage processes, react to new problems, and learn from data whose usefulness has a shorter and shorter lifespan.

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Managing With Immature AI

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Though the current state of AI falls short of its promise, managers should find ways to incorporate it into business practices now. Using pragmatic, thoughtful experiments and being transparent with customers and suppliers, organizations can learn and develop their own capabilities as AI continues to rapidly evolve.

Companies Brace for Decade of Disruption From AI

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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.

How Analytics and AI Are Driving the Subscription E-Commerce Phenomenon

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Box subscription companies are growing dramatically, using a high level of personalization and artificial intelligence algorithms to keep customers satisfied and eager for more. Their astute use of social media and influence marketing has also contributed to their startling success.

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Do You Have a Conversational Interface?

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AI-driven interactions between customers and brands will soon be occurring more often. Messaging platforms such as Facebook Messenger and Slack will combine with AI to make sense of text — both conversational and written — and offer services in real time. Companies can prepare for this shift by choosing a platform, running experiments, and begin introducing AI to their customers today.

Predicting a Future Where the Future Is Routinely Predicted

The ability of artificial intelligence to sift through mountains of data and identify patterns — and problems — in real time is its key value for business. Using AI to predict failures and take action to prevent them will become commonplace in the very near future. But it can also offer insights into human behavior to help managers improve customer service and employee relations.

Digital Today, Cognitive Tomorrow

Digital transformation is happening all around us, but it’s the foundation for a much more profound transformation still to come. With huge challenges facing humanity on many fronts — climate, disease, population, food and water — we need cognitive technologies to augment human problem-solving capabilities. And those technologies are almost here.

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