This week, IBM announced IBM Machine Learning, a cognitive platform for creating, training and deploying a high volume of analytical models in the private cloud at the source of vast corporate data stores.
IBM said that it has extracted the core machine learning technology from IBM Watson. Watson is as an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a “question answering” machine.
IBM claims that its Machine Learning allows data scientists to automate the creation, training and deployment of operational analytic models without the cost, latency or risk of moving data off premise.
Rob Thomas, General Manager, IBM Analytics said:
Machine Learning and deep learning represent new frontiers in analytics. These technologies will be foundational to automating insight at the scale of the world’s critical systems and cloud services.
IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides. As clients see business returns on private cloud, they will expand for hybrid and public cloud implementations.