Data, AI, & Machine Learning
How to Build Good AI Solutions When Data Is Scarce
Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.
Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.
Across the vast range of real-world usage scenarios, there have been far more instances of augmentation of human work by smart machines than of full automation. That scenario is expected to continue for the foreseeable future.
Data-driven personalization is coming to businesses across all industries, not just tech giants.
Only 21% of surveyed data executives say they have developed a data culture within their organizations.