Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6587309169001447424

#Feedforward Loops Needed in Addition to #Feedback Loops for Truly Self-Adaptive Future-Oriented Systems:
MIT AI-Machine Learning Executive Guide:
AIMLExchange.com/MIT/: https://lnkd.in/eknKzm5 :
More than 20 years ago, we had related dialog in our global Digital Transformation community of practice on this issue. In the current form, the proposal assumes #static and #deterministic environments characterized by the historical trends of the past. So the proposal is good enough if one needs to drive to the #Future by looking at the rear view mirror of #Past history: https://lnkd.in/eEA9uJu . In the current era, the result of doing so seems quite evident in the ongoing fate of many of the Robotic Process Automation (RPA) systems going through the same growing pains. Starting with the emergence of the WWW, the real #strategic #opportunities and #threats lie in the #discontinuities in the oncoming Future trajectory: https://lnkd.in/eQAR3rd. Here is a look in the rear view mirror of our community of practice discussions from 1998: https://lnkd.in/e6seUcv . Here is the paper that caught attention of the world’s smartest intelligence agencies in that era that guided above discussion: https://lnkd.in/eDE-W3z.

Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast changing as e-retail and a huge number of models matching buyers and products you could achieve real cost savings and revenue increases by makin
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