We analyze what machine learning is, its key components, its main challenges and trends, and examples of its application in fraud prevention.
What are the characteristics that distinguish a good prompt engineer, what skills are necessary to develop in this activity, and what are the professional functions and responsibilities of these specialists.
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 analyze how to adopt AI in the financial industry to achieve greater efficiency, security and adaptability in complex and dynamic contexts.
