Rodrigo Krüger

Enterprise AI portfolio

In a large company the model is the small part. Around it sit the data it is allowed to see, the systems it has to integrate with, the evidence that it is good enough to trust, and whoever keeps it working a year from now.

I lead the Data & AI practice at NTT DATA with a team of 15, accountable for an AI solution end to end: choosing the problem worth solving, agreeing what counts as working, designing how it integrates and what it may see, funding it, and running it once it is live.

AI Center of Excellence

Making AI work across a whole operation is a different problem from building one solution. Teams need a common way of working, and clients need the same standard from one engagement to the next.

I own the framework for how AI is adopted across NTT DATA in Brazil, and I run the AI Center of Excellence: the reference architectures, delivery standards and enablement that let every team build AI the same way.

Guepardo AI

Guepardo is a suite of solutions built for CFOs of companies that run SAP — tax reporting, electronic fiscal documents, global trade, analytics and AI. More than 550 customers use it, and at least 9% of Brazil's GDP passes through it.

I lead Guepardo AI: what gets built, in which products, how it is packaged and priced, and how it reaches customers.

Global Innovation Team

NTT DATA runs its innovation agenda across more than 60 countries. The Global Innovation Team is where those operations decide together what is worth building, what is worth adopting, and what gets shared between markets.

I represent the Brazilian operation on that team, taking what works here into the group's agenda and bringing what the group builds back to the Brazilian market.

Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges

Encrypted machine learning experiments using CKKS, with attention to privacy, model behavior, and processing cost.

Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction

Comparative work on peak prediction for energy high-load time series forecasting.

Rodrigo Krüger da NTT DATA explica como empresas podem superar o Vale da Desilusão da IA

Interview on turning generative AI enthusiasm into measurable business value through governance, integration, and portfolio discipline.

Transformação digital não basta: a reforma tributária exigirá sistemas inteligentes e adaptativos

Commentary on why Brazil's tax reform demands adaptive, intelligent systems beyond basic digitalization.

IA reinventa a gestão tributária brasileira, mas há desafios

Perspective on AI in Brazilian tax management, including automation, compliance, governance, and responsible adoption.