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Should Machines Do the Work or Humans?

Faster, better, more accurate. It seems as though the typical response to the need to improve speed, quality, or accuracy is to introduce technology into the mix. Does that mean humans don’t need to be involved? Autonomous Machine Learning Whether it’s artificial intelligence, machine learning, deep learning, or a mix, the notion that computers and […]

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Auto-classification Meets the Information Management Challenge Head-on

To address the information management problem, look at the quick wins, or as Joe Sheply of Doculabs calls it, the “first 100 pounds.” (Check out Joe’s recent article in CMSWire regarding cleaning-up shared file drives.) Just like the importance of having a healthy lifestyle, most businesses understand that it’s important to improve their control over […]

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Why-How-We-Approach-Classification-Matters

Why “How” We Approach Classification Matters

Imagine being assigned a task to group apples by type. Easy enough, you can organize into colors (green, red, orange-red, yellow), size (large and small) and taste/texture (sweet, tart, juicy, crisp, etc.). Now imagine being tasked with grouping apples that you are only allowed to see in black-and-white photos. All of a sudden, your choices […]

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