IBM is bringing it’s Watson technology to the Cloud in an effort to aid data scientists create new systems.
IBM has announced IBM Machine Learning, a smart system designed to assist data scientists with analytics.
Big Blue said that it’s Machine Learning service is the first cognitive platform for creating and training numerous analytical programs to assist in the analysis of massive amounts of data.
The product will be capable of creating analytic models that will be compatible with any standard language such as Python or Java, and it will also support machine learning frameworks including Apache SparkML and TensorFlow. The system will be capable of monitoring any transactional data type with as little latency as possible.
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.”
The project itself uses the core machine learning technology found in IBM’s Watson, and will be available as part of IBM’s System Z. The System Z mainframe is tasked with monitoring billions of transactions every day from retailers, to bankers, all the way up to governments.
IBM believe that there will be numerous applications with which it’s Machine Learning system can be used to improve every day life, in retail sales it can compute daily market trends, in finance it could create up to the hour details for advisers and brokers, and in healthcare it could track personalised offerings for individual patients connect with IoT devices.
Argus Health, a company committed to using technology to better healthcare, are examining the capabilities of IBM ML in order to find ways to better manage pharmacy costs to improve the overall quality of service.
Marc Palmer, President of Argus Health said: “We are excited about the possibilities and the potential we have seen from IBM Machine Learning working in concert with our RxNova claims processing platform, clinical solutions, and applied analytics in creating models that are constantly improving by using new data and enabling real-time results to the benefit of members, their caregivers and physicians.”