Data & Analytics

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.

What Cloud Localization Means for Organizations

In the world of cloud computing, the spotlight has mostly been on cloud providers and their ability to help organizations digitally transform. With new scrutiny around data localization and privacy, enterprises must consider localization impacts on their cloud computing strategy as they invest and innovate with emerging technologies.

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.

Trapped in the Data-Sharing Dilemma

There are clear benefits for companies allowing website users to login with social media platforms such as Facebook, Twitter, Amazon, and Google. But the ease of user access that social logins make possible comes at a price: The platforms learn a great deal more about users’ buying and searching behavior via these agreements — information that could wind up helping the company’s competitors (including the platform itself) down the line.

Why Teams Should Record Individual Expectations

To improve decision quality, risk management, and leadership development, organizations and teams should record individual expectations when making big group decisions. That may sound like a tall order, especially for a large organization. But interactive dashboards can make the process of gathering and analyzing everyone’s input much less cumbersome, and the benefits of doing so outweigh the costs.

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New Ways to Gauge Talent and Potential

While most organizations still rely on traditional methods such as résumé screenings, job interviews, and psychometric tests to find the right people and match them with the right roles, three new approaches to talent identification are quickly gaining traction. Gamified assessments, digital interviews, and candidate data mining have the potential to make hiring more precise and less biased, as long as they’re used responsibly.

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The Big Data Problem That Market Research Must Fix

  • Blog
  • Read Time: 9 min 

Insight into what customers really care about often is hampered by the quality of the information being collected. Big data can support smart market research, but only if researchers embrace psychometric best practices and the basics of understanding what it is they want to measure and how. That means asking the right questions, asking enough questions, understanding how to weigh questions, and taking into consideration how people felt about the brand to begin with.

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There’s Always a Time Lag (With a Price Tag)

  • Column

  • Column
  • Read Time: 7 min 

Technology changes faster than society can keep up, a pattern now playing out with artificial intelligence. Many CEOs are taking a wait-and-see approach to AI, while others are anxious to barrel forward. In both cases, there’s little conversation about AI’s human costs. Incremental adaption makes it more likely that AI algorithms shared across organizations and geography are spreading their shortcomings. Leaders must act to mitigate these challenges if AI is to benefit society.

Digital Transformation Opens New Questions — and New Problems to Solve

Modest questions about how today’s problems could be solved more effectively lead to applications of technology with easily foreseeable gains. But when people start asking bigger, bolder questions that challenge basic assumptions about how a problem has been framed, they open up space for breakthrough innovations. That’s been the pattern in many digital realms, including cybersecurity, artificial intelligence, and the internet of things.

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