We present a comprehensive look at the characteristics of a modern AI-powered pipeline, the capabilities it must possess, and the challenges companies face when implementing it. We also analyze how to achieve the right balance between automation and human oversight.
We provide key insights for selecting cases that truly drive business KPIs, using an impact/KPI matrix, feasibility analysis, and risk assessment. This includes a checklist and steps to develop an effective strategy.
In this article, we share a practical guide for CIOs, CDOs, CISOs, data architects, compliance departments, and purchasing teams who need to evaluate AI vendors and define the minimum acceptable requirements to bring a solution into production without falling into failed purchases.
We analyze why many organizations get stuck in the experimentation phase, what the most frequent roadblocks are when trying to scale, and what concrete steps allow AI to be transformed into a real business capability.
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 spoke with Diego Parrás about the role artificial intelligence plays in accelerating digital transformation in companies. We also share trends for implementing AI agents to boost business.
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.
