Second Generation Machine Learning A.I. for Digital Asset Management
May 2, 2021
Starting in 2015, Orange Logic introduced Machine Learning A.I. into its flagship product, Orange DAM. The sophisticated A.I. allows enterprises to save time with features including Machine Vision, Speech-to-Text, and Machine Translation.
Now with almost two years of experience with A.I., Orange Logic is rolling out a second generation of Machine Learning for digital asset management. This new approach further decreases the need for human oversight by using three sets of A.I. to detect the content of an asset.
“In the early days, we were all amused by the sheer novelty of A.I. Now with maturity, our digital asset management users expect more concrete results with almost no errors. Our engineers have built arbitrage mechanisms that provide more confidence than any individual A.I. system could. Concretely, this means less work for our users but more work for the machines. That’s ok, though, as the machines don’t have to drive the kids back from school.” said Karl Facredyn CEO of Orange Logic.
How it works:
Pass One: Detect The Content
The first pass of A.I. uses two separate machine learning instances. Each instance undergoes its own training and will interpret and produce results for an asset independently of the other machine.
Pass Two: Arbitrage Results
A third A.I. arbitrages the results from the first pass and only keeps the most accurate results of the two previous A.I.’s.
About Orange Logic
Established in 2000, Orange Logic initially operated as a software research company on a mission to innovate approaches in multiple fields including Digital Asset Management. Today, Orange Logic provides a premier Digital Asset Management solution CORTEX | DAM for any team, national or global, looking to efficiently manage and scale its digital media libraries. Contact@orangelogic.com
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