The news these days is full of stories about AI. Lately, we’re seeing how deepfake techniques create altered and convincing videos, photos or audio of people and how deep learning and neural networks win at the highly complex strategy board game Go.
Despite these types of applications, companies continue to struggle to apply AI to real-world business problems. In addition, neural networks and deep learning technologies — as opposed to the more tangible, statistics-based machine learning — are difficult to understand and explain, creating potential bias, compliance and safety issues. Even so, deep learning and neural networks are being deployed and affecting the bottom line of companies.
Applications run wide and deep
Deep learning shines when performing image analysis, but it also works with other multimedia data sources, including videos, audio files and unstructured text. In fact, the technology can find uses almost anywhere in the enterprise.
