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4 Unique Challenges of Industrial AI

In 2015, General Electric launched GE Digital to drive software innovation and cloud connectivity across all departments. Harel Kodesh, CTO of GE Digital, shares the unique challenges of applying AI to industrials that differ from consumer applications.

1. Industrial Data Is Often Inaccurate

2. AI Runs On The Edge, Not On The Cloud

3. A Single Prediction Can Cost Over $1,000

4. Complex Models Must Be Interpretable

<Forbes, APR 14, 2017>


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