Predicting Chaos during Disruptive Times

Predicting Chaos during Disruptive Times

Expect to tell the stakeholders what you did and what you are going to do, in a language they can understand. Gartner has called this Explainable Artificial Intelligence – how the models draw conclusion and ways to make them actionable by being interpretable and explainable.

Mainframe and the Value of Data

Mainframe and the Value of Data

Each year, estimates are IBM Z handles $23 billion worth of ATM transactions and over $7 trillion in credit and debit card transactions. This produces a massive amount of complex data. Considering more than 70% of global Fortune 500 companies use Z mainframes to run their core business functions, that is a lot of data to manage.