Artificial narrow intelligence (ANI) is a type of artificial intelligence (AI) that tackles a specific subset of tasks. ANI is often considered a “weak” form of AI. It pulls information from a particular data set, and its programming is limited to performing a single task, such as playing chess or crawling web pages for raw data. ANIs, like other AI systems, can perform tasks in real-time despite not having any other functions outside their initial programming.

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ANI is one of the most common applications of AI technology that we use in our daily lives. ANI systems are present in many forms, such as Google Translate and Siri. For some, these applications are not weak because they are capable of sophisticated interactions. These ANI applications, however, are considered weak because they can’t match human intelligence, since ANI is not sentient, or conscious. That doesn’t mean these systems don’t provide several benefits.

3 Benefits of Using ANI

1. Improving Customer Engagement

For most online businesses, customer engagement plays a significant role in expanding their market bases. Those that improve their engagement gain much in terms of sales. But what do ANIs have to do with this scenario?

Chatbots make use of ANIs to effectively and accurately answer repetitive queries without getting frustrated and bored as people would. That makes it easier for customers to get the answers they want in real-time.

Using ANI-powered chatbots unburdens customer-facing departments in that these not only keep customers engaged but also allow them to focus on other tasks that AI systems can’t do.

2. Enhancing Productivity

An organization’s success also relies on employee productivity. And since ANI systems can process data quicker than humans, they can be crucial in improving productivity and efficiency. ANIs can be programmed to crawl web pages and databases to come up with results within seconds.

An example of such an application is IBM’s Watson, which allows healthcare service providers to harness the power of AI to craft evidence-based decisions, making it easier to provide the best care possible for patients. Watson uses an ANI to crawl both structured and unstructured patient data then collates it in a format that doctors can quickly analyze to come up with a personalized care plan so the patient can achieve optimal recovery.

3. Boosting User Experience

While most people are aware of automation and so expect chatbots to give out canned answers to questions, ANIs can do more than just that. They can be programmed to provide the best user experience possible so long as they get the right context of user requirements.

An example would be assistants like Siri. When you ask it where the nearest bank is in your area, it will crawl the Web and come up with a list. Again, ANIs can do more than that. They can be programmed to provide you with the same list but give more relevant information by stating exactly how far each location is from where the user is at, what modes of transportation are available, and even a map.

The benefits of ANI highlight that though it is a so-called weak AI system, it still serves as a useful building block for creating more intelligent AI applications.