Artificial intelligence, machine learning, and deep learning have accelerated rapidly over the last decade. A major contributor to this has been the rapid development of deep learning, which relies on multi-layered neural networks that model the ways that humans learn new information and reach conclusions or make predictions. This development has, in part, been enabled by the adoption of graphical processor units (GPUs), particularly for training deep learning models.
In this whitepaper, you will learn that:
- AI, especially deep learning, presents significant benefits for manufacturers and customers.
- Adoption of AI is complex but manageable for manufacturers accustomed to dealing with complexity.
- Clear identification of business outcomes and ROI is crucial from the beginning.
- Honest assessment of data availability and maturity is necessary.
- AI can extract insights from data beyond human capabilities.