Provide solutions for data governance; data quality; reliable, efficient, and explainable ML models; and IT policies.

Offer transformative designs IoT Edge Cloud applications and services based on our highly-cited principles of IoT Cloud engineering, achieving extensibility, reliability and efficiency for resource-constrained infrastructures.

Recommend and provide GenAI/LLM models and solutions based on the responsibility, explainability and risk management for application-/domain-specific requirements.

Design and integrate GenAI/LLMs features for modernizing cloud/on-premise/edge applications and services.

Develop and provide techniques for holistic, context-aware and composable monitoring and automation.

Research and develop big data analytics/ML platforms and infrastructures, integrated predictive mainteance, methods for ML explainability and machine learning serving.

Develop automated processes integrating data analytics, AI/ML and business services for enterprises, and solutions for IoT systems interoperability.

Offer consultancy and assessment together with training for AI/ML and big data analytics teams for developing big data platforms

Offer diverse advanced trainings on analytics for operations, architectures for big data platforms, machine learning systems, and digital transformation.