In this article we meet Salvador Vial, a cybersecurity expert at AWS, and we talk to him about the challenges that organizations face in terms of cybersecurity, recommendations to improve resilience to this type of attack, the role of AI, the perspective of security by design, and how to solve the lack of professionals in the sector.
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 the main pain points in personal data management and the appropriate paths to resolve them. In addition, we address the legal challenges to comply with current regulations and the importance of cultural change.
If data is not governed, inconsistencies, rework, and risks arise, among other problems. We identify the main pain points and challenges of data governance and propose a practical approach to address them, with quick wins.
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 explore the fundamentals of data governance, the problems it helps solve, and its main benefits. We also analyze roles and KPIs to measure its impact.
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.
