Researchers studied 400 e-commerce firms to understand how they balanced efficiency and...
Analytics and data science
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Because the role is poorly understood, CDOs need to show how they add value to their...
Four recommendations to ensure your investment strategy drives real business...
If developed the right way, technology will augment–not replace–human labor....
Six trends that will define the next year, according to McKinsey...
Plus strategies for driving transformative growth in...
Seven factors to...
The ability for anyone to produce pretty good text and code on command will transform...
New tools are making it easier for anyone to use AI. Here’s how to make sure employees are doing so...
Mislabeled, missing, or incorrect information creates more work for...
Instead, companies should use data on how their teams collectively work to find where bottlenecks, breakdowns, and bad design are making work harder and...
Legacy companies often struggle to leverage data effectively. These roles can...
AI is no longer a luxury accessible only to big tech...
Today’s algorithms still largely lack empathy, ethics, and the ability to see the bigger...
The right approach can help you spot where resources are being wasted — and how the system can be...
Research suggests that transparency up front will improve customer satisfaction in the long...
A three-step...
Companies’ use of data to measure and shape the workday is leading to increased stress and reduced trust among employees. ...
What’s next for fashion shopping app, THE YES: improving the algorithm or investing in customer acquisition? ...
Navigating privacy protection, new regulation, and consumer revolt. ...
Company culture is often a bigger hurdle than any technical problem. ...
Innovation is often more art than science. ...
How one company created a “universal commercial engine” to replace both divisions. ...
Many demand prediction models fall short because they fail to account for how data is generated. ...
Many demand prediction models fall short because they fail to account for how data is generated. ...
Many demand prediction models fall short because they fail to account for how data is generated. ...
Many demand prediction models fall short because they fail to account for how data is generated. ...
Many demand prediction models fall short because they fail to account for how data is generated. ...