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Monitoring Machine Learning Accuracy in the Enterprise

Machine learning tools and practices continue to develop at a dizzying pace. The industry has moved on from running...

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Monitoring Machine Learning Accuracy

The biggest problem in machine learning model accuracy is that all models degrade. They perform well initially but as...

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Putting “Automating AutoML” to Work

In my last post I discussed why we at Auger believe that AI will eat software. Enterprises will move beyond just solving their biggest...

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AI Is Eating Software: How Second Generation AutoML Will Replace Software Development from the Inside Out

I just returned from a few weeks in Europe speaking at various AI and ML conferences. Notwithstanding our many posts on the topic, I actually don’t...

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Auger.AI Cloud Launches!

We are very excited to announce the launch of Auger.AI Cloud!  Auger.AI Cloud is a fully hosted service eliminating...

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Auger Outperforms Competitors: The Google Update

Shortly after Microsoft released the AutoML product a few months ago, we published a comparison of Auger.AI versus Azure’s...

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How Does Auger.AI Provide Such Fast And Accurate AutoML?

In our last post, we pointed out that Auger outperforms the new Microsoft AutoML and other AutoML tools such...

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Auger.AI Outperforms Other AutoML tools Even On Their Own Chosen Datasets

If you’re a regular reader of this blog you probably know that Microsoft recently released their own AutoML SDK. We...

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Of Grapes and Mushrooms: From AutoML to OptiML

Something I rarely tell people is that I am a dropout from UC Davis’ Ph.D. viticulture program. One of...

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Automated Machine Learning  —  Not Just for Experts Anymore

Since we launched Auger a few months ago, we found that some of the most significant benefits were to...

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