Embedding Artificial Intelligence into smarter apps:
When our vision is that the data is continuously moving while changing the context, they think that the data is locked somewhere. Today we have reached to such an extent where we can take up the artificial intelligence and machine learning techniques and embed them into a typical app experience so that the users can enjoy smarter applications.
The evolution of Artificial intelligence in apps is also compared to the earlier days of Internet which was started with static webpages before the arrival of browser based tools. Today there are several enterprises across the globe and the data scientists have been trying to provide value to the developer groups that are trying to make advanced software to meet the business objectives. Ultimately, the goal was to build a collaborative community.
Natural Language Understanding (NLU):
For most of the design experts, the artificial intelligence starts up with the natural language understanding (NLU) where the smartphones and other devices can receive direct input. Google Now and Apple’s Siri are some of the best examples and there are many more applications like that. Recently a development firm tried to build a cloud based server and it promised to allow anyone with basic programming knowledge to create NLU interfaces; that too in more than 20 languages.
The fact is that the mobile application developers had a very limited exposure for conversational computing and natural language understanding. Previously, NLU was treated as an expensive solution with just a few companies knowing to write such applications. But experts say that even wider apps could benefit from artificial intelligence; it may be retail apps which tell merchants about the kind of shoes the people want to buy.
Artificial Intelligence certainly can’t be seen as a small thing when it comes to the development of smarter applications and hence the developers are still behind AI which has been giving them the great results.