We spoke with Catalina about her experience leading projects to reduce the gender gap in STEM professions, how to simplify the implementation and use of generative AI, and what are the most effective strategies to overcome the barriers and resistances that arise when faced with digitalization and digital transformation processes.
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 how to adopt AI in the financial industry to achieve greater efficiency, security and adaptability in complex and dynamic contexts.
How to build a data-driven culture and harness the power of data to drive business.
