Here are a few examples of ways neural networks are currently used by different industries:
Finance: Neural nets are used to predict currency exchange rates. They are also used in the technology behind automatic trading systems used in the stock market.
Medicine: The image processing capabilities of neural nets have contributed to technology that helps more accurately screen for and detect early-stage and difficult to identify types of cancers. One such type of cancer is invasive melanoma, the most serious and deadly form of skin cancer. Identifying melanoma at earlier stages, before it has spread, gives patients with this type of cancer the best chances to beat it.
Weather: The ability to detect atmospheric changes that indicate a potentially serious and dangerous weather event as quickly and accurately as possible is essential for saving lives. Neural nets are involved in the real-time processing of satellite and radar images that not only detect early formation of hurricanes and cyclones but also detect sudden changes in wind speed and direction that indicate a forming tornado. Tornadoes are some of the strongest and most dangerous weather events on record—often more sudden, destructive, and deadly than hurricanes.