There are unique issues and challenges faced by enterprises with mainframes, among the top of which are security and automation of operations. As the sheer amount of data housed on mainframes rises, daily operations have become more complex and more difficult to handle manually or with traditional tools and techniques.
In this white paper, learn what “Machine Learning” really is and help separate the reality from both the near-term vision and the industry hype. The paper also discusses how machine data and machine learning may be used to address the challenges driving automated mainframe operations as well as the use cases for Machine Learning at mainframe enterprises today, including operations analytics (ITOA).