
AI-powered data models: architecture and key decisions for generating sustainable value
How to go from data to decisions with AI: minimal architecture, governance, evaluation and steps to implement business-aligned models.
Insights

How to go from data to decisions with AI: minimal architecture, governance, evaluation and steps to implement business-aligned models.

In this article we analyze the fierce competition for talent facing the IT industry and share 5 keys to retaining technology teams: authentic value proposition, professional development, organizational culture and empathetic leadership, flexibility and well-being at work, and genuine recognition.

We analyze how a robust incident response plan enables organizations to react to cyberattacks quickly and effectively, reduce costs, protect sensitive data, and preserve the trust of customers and partners.

Why is AI-first a viable operating model and a path to business sustainability? We analyze its challenges, potential risks, roles involved, and a roadmap for moving from isolated initiatives to scale.

We analyze how to transform AI into tangible value through an AI-First strategy. We share key insights for prioritizing use cases, defining a minimum architecture, establishing KPIs for each stage, and industrializing with focus. A practical roadmap for scaling data with real and sustainable impact.

In this article, we analyze the Zero Trust model, the new standard in cybersecurity. Learn how to implement this approach, which eliminates implicit trust to protect data, applications, and users with continuous verification, least privilege, and threat resilience.