Artificial Intelligence

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

  • Blog
  • Read Time: 6 min 

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?

  • Blog
  • Read Time: 5 min 

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.

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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.

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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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A Code of Ethics for Smart Machines

What’s happening this week at the intersection of management and technology: Smart machines need a code of ethics; hackers don’t deter blockchain adoptions; digitized goal-setting.

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When Machine Intelligence Meets Main Street

We are past the point of debating whether human intuition can be replicated. Machine learning is already here. It will impact most companies over the next few decades and become part of everyday business life. Executives must quickly come to grip with how companies and industries will evolve.

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The Shifts — Great and Small — in Workplace Automation

Despite valid concerns about machines displacing workers, human labor isn’t going away any time soon. Tasks that cannot be substituted by automation are generally complemented by it. Still, while automation does not reduce the quantity of jobs, it may greatly affect the quality of available jobs. For workers to benefit from IT, human-capital investment must be at the heart of any long-term strategy for producing skills that are complemented, rather than substituted, by technological change.

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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.

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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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Managing the Bots That Are Managing the Business

We are just at the beginning of the transformation from an economy dominated by human workers to one dominated by electronic workers. The great management challenge of the next few decades will be understanding how to get the best out of both humans and machines, and understanding the ins and outs of who manages whom.

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What AlphaGo Means to the Future of Management

Is AlphaGo the supersized model of your future machine management assistant? What to consider when you’re in the market to enhance your company’s digital capabilities. And if you are looking for a way to enhance the value of transparency, try videotaping – and maybe even broadcasting – your executive meetings.

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Just How Smart Are Smart Machines?

Managers don’t expect to see machines displacing knowledge workers anytime soon. Instead, they expect computing technology to augment rather than replace the work of humans. But in the face of a sprawling and fast-evolving set of opportunities, what forms should that augmentation take? Davenport and Kirby, authors of “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines,” examine what cognitive technologies managers should be monitoring closely and what they should be applying now.

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Cognitive Technologies: The Next Step Up for Data and Analytics

This free on-demand webinar offers context for understanding cognitive technology offerings. It focuses on what technology capabilities will be available — and what tasks will still require human input. Topics include artificial intelligence, automation, and business rules for making cognitive technology functional. Presenters Thomas H. Davenport and Julia Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.

Showing 1-20 of 20