Digital Technologies
Data Engineering & AI
Data Engineering involves the development, maintenance, and management of architectures, tools, and systems for collecting, storing, and processing data. It focuses on the practical application of data collection and processing methods to meet the needs of businesses and organizations.
Key Features:
- Data Engineering
- Machine learning algorithms
- Predictive analytics
- Natural language processing
- Large Language Models – Optimization
- Computer vision
- Edge Compute
- ML Ops,
Artificial Intelligence (AI)
AI is a broad field of computer science that focuses on creating systems and algorithms that can perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, understanding natural language, and decision-making.
Data Engineering
Data Engineering involves the development, maintenance, and management of architectures, tools, and systems for collecting, storing, and processing data. It focuses on the practical application of data collection and processing methods to meet the needs of businesses and organizations.
