Technology Implementation

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How AI Can Amplify Human Competencies

The fear of robots eclipsing human power in society, in particular the workforce, has persisted for decades despite the moderate progress of artificial intelligence systems. For professor and robotics researcher Ken Goldberg, a hybrid human-machine workforce is much more likely to take shape, and in many industries, it has already begun.

Global Competition With AI in Business: How China Differs

AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China. Buoyed by the country’s latest five-year plan and enabled by centralized data, Chinese companies are investing aggressively in AI and adapting their business models to make the most of AI’s potential, but unclear business cases and bottlenecks due to lacking technical capabilities hinder adoption.

Platforms That Grow Are More Than Matchmakers

  • Frontiers

  • Research Highlight
  • Read Time: 8 min 

Platform businesses, like Airbnb or Lyft, often talk about themselves as if they’re merely matchmakers. That’s a smart pitch — when a company is negotiating with investors. But any platform that wants to succeed will have to learn something Airbnb did: Matchmaking isn’t everything. Success also depends on identifying and mitigating risks for your buyers and sellers. The quantity and quality of goods or services bought and sold on your platform will be proportional to the amount of risk mitigated.

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Business, Technology, and Ethics: The Need for Better Conversations

  • Column

  • Column
  • Read Time: 6 min 

The fusion of business, technology, and ethics is unfolding at a rate that appears to outstrip our ability as citizens to have meaningful and careful conversations about the effects of our actions on others. At the same time, the civic processes that should encourage innovative solutions to new problems appear to be broken. What we need is a commitment to honestly talk about the challenges technology now poses.

Technical Debt Might Be Hindering Your Digital Transformation

Data reveals the C-suite recognizes that technical debt — the “price” companies pay for short-term technological fixes — hinders their ability to innovate and adapt in the digital age. One strategy to combat technical debt? Digital decoupling.

Wait-and-See Could Be a Costly AI Strategy

  • Research Highlight
  • Read Time: 4 min 

Less than 5% of companies are using AI to reinvent how they do business, but the competitive intensity surrounding the technology suggests that a wait-and-see strategy could be a costly mistake. To get a share of the global profit pool of $1 trillion that AI will produce by 2030, the McKinsey Global Institute says companies should begin adopting it at scale within the next three years.

Why AI Isn’t the Death of Jobs

  • Frontiers

  • Research Highlight
  • Read Time: 6 min 

When pundits talk about the impact that artificial intelligence will have on the labor market, the outlook is usually bleak, with the loss of many jobs to machines as the dominant theme. But that’s just part of the story — a probable outcome for companies that use AI only to increase efficiency. As it turns out, companies using AI to also drive innovation are more likely to increase headcount than reduce it.

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Want the Best Results From AI? Ask a Human

Companies are adopting artificial intelligence at an accelerated pace — and learning that developing and deploying AI is not like implementing a standard software program. Before diving into AI systems, companies should consider three principles that can greatly improve the chances for a successful outcome. First, they need to recognize that humans and machines are in this together. Second, they need to teach the AI systems with a lot of data. And third, they need to continually test what the systems have learned.

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The Quest to Create Utterly Normal Virtual Reality Experiences

Virtual reality is used today for job training, but that’s just the beginning. In a Q&A, Jeremy Bailenson, a leading expert in virtual reality, says that VR has the potential to be a much-improved video conference tool — one that’s good enough to reduce our need to commute. What Bailenson calls “avatar-based communication,” with eye contact and facial expressions, has the potential “to create the intimacy and non-verbal behavior that you get face to face.”

The Risk of Machine-Learning Bias (and How to Prevent It)

Machine-learning algorithms enable companies to realize new efficiencies for tasks from evaluating credit for loan applications to scanning legal contracts for errors. But they are as susceptible as any system to the “garbage in, garbage out” syndrome when it comes to biased data. Left unchecked, feeding biased data to self-learning systems can lead to unintended and sometimes dangerous outcomes.

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