This rapid growth can be attributed to the fact that working in tandem, the duo (machine learning and real-time data) can enable organizations to unlock transformative use cases.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants.