In the past five years, many application fields have tried to use deep learning technology, but they have never been able to solve the "chicken-and-egg" problem, so there are only a few successful examples. Artificial intelligence alone is not enough. Companies need to combine artificial intelligence with other mechanisms to effectively attract customers. But having said that, artificial intelligence is the key to truly creating long-term advantages for companies. Once you master its operating principles, you
austria whatsapp number data 5 million are expected to significantly improve product quality and further expand your customer base. And this is the best formula for a brand to dominate.
The third wave of artificial intelligence also faces some obstacles.
One of these is the cost derived from data collection operations. Traditionally, data must be "supervised", that is, operators ensure the correctness of the data input and output processes. For example, when establishing a car warning system, manual marking of cars, pedestrians, cyclists, stop signs and other data is required. Since the cost of labeling work is quite high, deep learning technology is not cost-effective for an application area when the scale of the application area is not large enough to support the required labeling costs.