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Artificial Intelligence Databases: Speeding Training for Machine and Deep Learning

By Dick Weisinger

One of Artificial Intelligence’s biggest roadblocks is data preparation and training.  Collecting and cleaning data and then training software on data to recognize patterns and develop some amount of insight takes a lot of time. New techniques to speed up

Cloud Computing: AI and Machine Learning Workloads Growing Most Quickly

By Dick Weisinger

Despite worries of security, businesses are moving their data to the cloud.  But concerns are reducing. A survey by MIT Management Review sponsored by Google found that nearly three-quarters of businesses said that their confidence in cloud security had improved.

Open Source Machine Learning: Open Source Dominates Preferred ML and AI Tools and Frameworks

By Dick Weisinger

Machine Learning (ML) and Artificial Intelligence (AI) technologies are being developed and adopted at a rapid pace. This area has become a hot topic in 2017. Interestingly, many of the more prominent tools are Open Source. The technologies are being

Cognitive First: Letting Data Drive the Development Process

By Dick Weisinger

Data has become the fuel for a new breed of applications based on analytics, artificial intelligence and machine learning.  In recognition of that, one proposed method for developing applications is to first understand both the business problem and the data

Machine Learning: Solving Complex Problems Without Clear Rules or Algorithms

By Dick Weisinger

Machine learning (ML) is a kind of artificial intelligence (AI) that enables computers to be able to observe and recognize patterns in processes and events and to then to be able to apply that information in a way that enables them