Publisher's Synopsis
⦁Why can (AI) driving machine learning system main factor influence driving consumer individual desires ? Driving consumer expectations are hard to measure or predict driving attitudes and driving behaviors in (AI) non-manual driving vehicles market. Artificial intelligence is another kind of computer science development to apply intelligent vehicle market. Why do driving consumers feel need to buy any kinds of (AI) auto driving vehicles to drive to replace manual driving vehicles on the roads? What are (AI) auto driving features different to manual driving features? (AI) is the recreation of cognitive functions in computers; it enables machines to perform tasks like humans and perhaps even better than human. In the real world, scientists develop the technological singularity, in which a superintelligence emerges with unfold human consequences.Professionals in many industries are intensely interested in the specifics of what (AI) can do today, and how can it helps. They are considering the impact of applied (AI), in which computers are used to address a particular problem, extracting and utilizing patterns found in large volumes of data. Of all (AI)'s subfields, machine learning is attracting the most attention. I shall explain why (AI) machine learning system is the main factor to lead consumers feel need to buy any (AI) products to use. Such as below: For smartphone, fraud detection to medical diagnosis etc. applied (AI) technological products examples. (AI) machine learning systems can help any one of these products to do any exceed general computer learning systems which (AI) learning systems can do any skills to supply (AI) users to use to compare computer learning systems can not do any skills to supply compute users to use. It seems that (AI) machine learning system is the unique feature to attract consumer consideration in technological product market.An term for different types of learning, and can be accomplished using different techniques. This has led to a perception that all marketing teams should have (AI) to bring a unified personalized customer experience, when consumers choose to buy any (AI) products to feel what are the different or unique characteristics to compare general computer products. Such as (AI) product has this unique machine learning characteristics, we can predict (AI) and machine learning is connected to influence consumers to feel needs. Furthermore, over the same time period, and in contrast to predictions for roles in many industries. (AI) won't take the place of marketers and merchandisers themselves although it is already a new value to analytical and strategic marketing skills to persuade consumers to buy any (AI) products. It means different kinds of (AI) products will have different machine learning effort and unique characteristics to attract consumers to choose to buy them to use. Such as, when intelligent vehicles need have unique road driving or sea transportation or flying machine learning system when they are applied on these three kinds of transportation tool aspects. They need have good response safety driving and immediate response learning systems to avoid any boats or air planes or vehicles to crash to them to reduce accident occurrences immediately on any one of either road or sky or sea journey environment.
