As enterprises are becoming smarter nowadays, IBM has extracted the core machine learning technology from its Watson cognitive system and brought a native platform. The new machine learning platform is designed to run at scale through open source support.
IBM is planning to bring its machine learning platform first to the z System mainframe that has already been used by a large number of organisations worldwide to handle “billions of daily transactions” from banks, retailers, insurers, transportation firms and governments. The solution is claimed to support any transactional data type and work with open source technologies like Java, Python. Additionally, there is support for machine learning frameworks such as Apache SparkML, TensorFlow and H2O that all are maintained by the developer community.
“IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides,” says Rob Thomas, general manager, IBM Analytics.
Whether it is a retail business model or a healthcare startup or a well-established financial institution, IBM is targeting all major businesses through its machine learning development. The new model is also touted to be a perfect match for emerging technologies like Internet of Things (IoT) and neural networks.
“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,” said Marc Palmer, president, Argus Health.
Recognises community power
IBM is one of the companies that has recognised the power of open source community. The company recently opened its Watson IoT to give developers the way to expand connected devices. Last month, the computer giant even expanded its artificial intelligence platform PowerAI with TensorFlow support.
However, the latest move is something that mingles machine learning and open source with the cloud computing. IBM is already in development to enhance the current machine learning practices to uplift the future of data centres.
