Artificial Intelligence

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Five AI Solutions Transforming B2B Marketing

  • Blog
  • Read Time: 8 min 

B2B Marketing departments never have enough time, manpower, or money. AI solutions such as automated emails and predictive analytics can help companies push back against these constraints. AI marketing products can act as a force multiplier. Imagine filling your headquarters with thousands of brilliant marketers, expertly analyzing data and providing actionable insights that increase the productivity of your existing marketing team.

Sponsor's Content | Data, Analytics, & AI: How Trust Delivers Value

  • MIT SMR Connections | Content Commissioned by SAS

New research by MIT SMR Connections and SAS shows that organizations with advanced use of analytics and AI are intentionally building a foundation of trust across three critical dimensions to gain value from these technologies. Those applying analytics that incorporate AI-based technologies are fostering trust in data quality, safeguarding data assets and customer privacy, and developing organizational cultures that trust data-driven decisions.

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The Top MIT SMR Articles of 2018

  • Blog
  • Read Time: 2 min 

In 2018, MIT Sloan Management Review readers gravitated toward new articles that will help them prepare for the future of work, including topics as varied as skills needed in the age of AI and digital communication tools for virtual teams. The most popular article of the year focused on an area high on the list of most CEOs’ agendas: how to transform your organization successfully.

Putting Artificial Intelligence to Work

  • Video | Runtime: 1:01:06

For companies just starting their investigation of AI’s capabilities, there’s a lot to think about. What can AI do for your company to provide value? And just as important: What can’t it do? A third consideration that many companies overlook (but shouldn’t) lies in the realm of ethics: Understanding when AI offers a capability that companies could use, but should not.

The Machine Learning Race Is Really a Data Race

  • Blog
  • Read Time: 6 min 

Companies are racing to apply machine learning to important business decisions, only to realize that the data they need doesn’t even exist yet. In essence, the fancy new AI systems are being asked to apply new techniques to the same old material. The result is a visible arms race as companies bring on machine learning coders and kick off AI initiatives alongside a behind-the-scenes, panicked race for new and different data.

Artificial Intelligence Brings Out the Worst and the Best in Us

As AI develops better decision-making skills, leaders may feel threatened and push back, resisting the imperative to leave their biggest and most critical decisions to mechanical minds. And that might be a mistake, says psychologist Daniel Kahneman, given AI’s potential to reduce the bias in human thought processes.

The Public Sector Can Teach Us a Lot About Digitizing Customer Service

Digital customer service agents (known as virtual assistants, chatbots, or softbots) are typically used to sift through and process only the most straightforward customer inquiries, such as requests for basic information. At most companies, complex issues get passed along to human agents. In that regard, public sector agencies in Australia are ahead of the curve: They are using digital agents to handle complex inquiries from citizens, and businesses stand to learn much from these applications.

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Every Leader’s Guide to the Ethics of AI

  • Blog
  • Read Time: 9 min 

As artificial intelligence-enabled products and services enter our everyday lives, there’s a big gap between how AI can be used and how it should be used. A 2018 Deloitte survey of AI-aware executives found that 32% ranked ethical issues as one of the top three risks of AI, but most companies don’t yet have specific approaches to grapple with the challenges. Here, we list the seven actions that leaders of AI-oriented companies — regardless of their industry — should consider taking.

Using Artificial Intelligence to Promote Diversity

What if, instead of perpetuating harmful biases, AI helped us overcome them? What if our systems were taught to ignore data about race, gender, sexual orientation, and other characteristics that aren’t relevant to the decisions at hand? They can do all that — with guidance from the human experts who create, train, and refine them.

How Banks Can Lead the Shift to AI-First

Banks and financial startups were some of the earliest adopters of mobile-first strategies and now they continue to innovate with AI. Learn about the four pillars driving change and AI adoption in banking and how these strategies can apply to organizations across any industry.

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Preparing for the Coming Skill Shifts

  • Blog
  • Read Time: 3 min 

CEOs worry about ensuring that their companies have the right skills mix to thrive in the age of AI and automation, and they’re smart to be thinking about talent at a strategic level. But the external labor market can do only so much to address the anticipated shifts in demand. So companies should double down on retraining the people they have, with an emphasis on lifelong learning and adaptability.

Artificial Intelligence in Business Gets Real

Companies are looking to artificial intelligence to create business value, and as MIT Sloan Management Review’s 2018 Global Executive Study and Research Report on AI shows, Pioneer organizations are pulling ahead of their counterparts. By deepening their commitment to AI and focusing on revenue-generating applications over cost savings, these early implementers are positioning themselves to reap the benefits of AI at scale.

Showing 1-20 of 91