Scalable Framework for AI; Data Capture in Retail; The Human-Machine Workforce
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January 27, 2020
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Where Common Machine Learning Myths Come From
There are a lot of misconceptions about ML that can have a negative impact on one's career and reputation. Forrester and ABI Research weigh in.

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A Realistic Framework for AI in the Enterprise

Amid all the marketing hype and buzz around AI, and the complexity of implementing it at scale, here's a practical high-level framework that could help enterprises with their programs.
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Next Evolution of Data Capture Tech Transforms Retail

Eye-tracking, facial recognition, sensors, and digital displays gather data that retailers can use to fine-tune their strategies.
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How to Manage the Human-Machine Workforce

Today's managers and executives need to oversee humans and machines in this age of AI and RPA, but should machines be managed as humans in a way that some suggest?
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How Credible Are the White House's AI Regulation Principles?

What is the Trump administration's real goal in suggesting new national regulations governing the use of artificial intelligence?
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GIS Drives Superhighway to Analytics Future

The Pennsylvania Turnpike may be 80 years old, but its GeoAnalytics program is leveraging geographic information to drive the future.
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