Insights
Insights
We analyze what the implementation of AIOps entails in organizations that must manage large data infrastructures and address the impact that AI and machine learning have on these processes.
We tell you everything you need to know to work in Mainframe: what tasks they perform and how much Mainframe analysts and Cobol developers earn, and where to get training.
We analyze what data governance is, its importance, and the principles and best practices necessary to create data compliance organizations.
What sustainable software development consists of, what are its implications for business and how does the lean methodology add value to organizations?
We analyze the main reasons that explain why financial institutions need to optimize the operation of their Mainframes and the benefits.
How we built a culture that attracts and retains top talent and positioned us as one of the best companies to work for in technology.
Why the digital transformation of organizations is not opposed to the use of Mainframes but quite the opposite: how to turn them into central allies to achieve successful innovation processes.
We analyze how to adopt AI in the financial industry to achieve greater efficiency, security and adaptability in complex and dynamic contexts.
We analyze what data centers are, their impact on business, and the main challenges that must be faced to improve infrastructure in Latin American companies.
