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Rodrigo Krüger

About

Enterprise AI leadership grounded in SAP, finance, tax, and graduate research in Artificial Intelligence at PUCPR.

Rodrigo Krüger works across executive AI adoption, intelligent enterprise systems, and academic machine learning research.

Profile

Rodrigo Krüger is a Director of Data & AI focused on enterprise transformation, data, artificial intelligence, and SAP technologies.

His academic path in Artificial Intelligence is rooted at PUCPR: postgraduate studies in AI, an MSc in AI, and current doctoral research as a PhD candidate in AI.

His professional work centers on practical AI adoption in complex business environments: aligning business priorities, governance, data readiness, process redesign, and responsible use so AI creates measurable operational value.

His academic research focuses on privacy-preserving machine learning, including federated learning, homomorphic encryption, adaptive models, and data stream mining for sensitive and distributed data scenarios.

Working domains

Enterprise AI strategy

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Artificial Intelligence graduate research at PUCPR

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Finance, Accounting and Tax

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

SAP-enabled enterprise processes

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Responsible AI governance

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Privacy-preserving machine learning

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Federated learning

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Homomorphic encryption

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.

Data stream mining

A recurring theme across this domain is the need to connect technical capability with business accountability, governance, and implementation discipline.