Artificial Intelligence - Neural Nets

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Artificial Intelligence (AI) is on the move and the race is on.  In previous years, and for the most part even today, AI has been dominated by the worlds high tech companies like Google, Microsoft and Amazon.  Regardless of where you work or the size of your business, the industry is starving for more information and true knowledge management.  AI goes beyond knowledge management and moves us into knowledge engineering.

As found in an MIT Technology Review article, Microsoft has its own AI-powered cloud platform.  You may have heard of Azure.  This team is joining with Amazon to offer Gluon.  It is an interesting name. I don’t know its origin, but it is essentially an open-source deep-learning library. Gluon is supposed to make building neural nets – a key technology for AI that crudely mimics how the human brain learns – as easy as building a smartphone app.

It is no longer just a high-tech game.   With the onslaught of cloud services, any/all service providers (including enterprise-wide and small startups) can join the race.  Machines today can, to some extent, think and act like humans.  Collecting and analyzing patterns of business activity for AI will include many elements including:
  • Speech recognition
  • Learning
  • Planning
  • Problem-solving
  • Auto-Actions (including moving objects)
Exciting isn’t it? Let’s not forget that as we build these neural nets that we must include the essential basics that become the cornerstone for success. AI is and will continue to play a key role for DevOps, Continuous Delivery and Agile Service Management. 

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