Description

In 2025, data science will see a surge in innovative concepts. Key trends include advancements in automated machine learning (AutoML), making it easier for non-experts to develop models. Generative AI will continue to evolve, enabling more sophisticated content creation and data augmentation. Edge computing will drive real-time data analysis on devices, reducing latency and enhancing privacy. Explainable AI will gain traction, improving transparency and trust in models. Additionally, quantum computing could revolutionize data processing, while federated learning will enable collaborative AI training without sharing sensitive data, ensuring privacy and security in distributed systems.