Blog | CoreAI

Eitan Netzer

Discovered Incidentally: The Solution to the MLOps Challenge in Organizations

A medical technology company that applied for an FDA registration encountered a problem. Following a staff replacement, the company lost...

Eitan Netzer

The Misconception about Data-driven Insights

"Insight: (the ability to have) a clear, deep, and sometimes sudden understanding of a complicated problem or situation" Cambridge...

Eitan Netzer

What Nobody Tells You about the Transition to AI Production

It's not enough to consider just the initial investment in AI projects. Organizations must consider the total cost of a project's life cycle

Eitan Netzer

How to Choose a Test Set that Addresses the Specific Business Challenge of Your Organization

Sometimes the gap between theory and its application in the real world may lead to critical mistakes. This is exactly the case with...

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Why "Plug & Play" AI Solutions Fail to Deliver High-quality Results

Many AI suppliers offer plug & play solutions that theoretically only need to be plugged into a company's database and immediately...

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Why So Many AI Projects Fail and What You Can Do To Improve the Chances of Success

Artificial intelligence (AI) and Machine Learning (ML) are quickly making their way into the daily use of businesses of all sizes and...

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Trash Trash Trash

One of the most common terms in computer science is "garbage in, garbage out", meaning that if the input is poor, the output will be poor...

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What Set of Skills does your Data Scientist Need?

Data science has been attracting a lot of attention recently. The potential in using data science and Artificial Intelligence to analyze...

Eitan Netzer

7 Common Mistakes of AI experts

This short article will cover seven common mistakes I have seen machine learning engineers make, from juniors to seniors. I've collected...