Artificial Intelligence in Business: Companies are increasingly aware of gradually incorporating Cases of Artificial Intelligence in business model. However, the lack of knowledge about the subject and the difficulty in taking the first steps spoil many initiatives. Below we will mention some use cases of artificial intelligence in business to help you detect where and how you can apply it.
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What AI will allow us in a business environment. Mainly, is to obtain patterns or relevant information from the data generated and also assist in decision-making. However. Its applications are practically endless, and it can give us improvements in any area, such as:
Similar to how we use it on our mobile devices. A virtual assistant can take charge of scheduling meetings, proposing articles of interest, recommending contacts. Or accurately tracking an employee’s tasks in the workplace.
The use of intelligent chatbots to solve doubts or incidents with customers could be one of the essential improvements in the short term for companies. Thanks to the savings that it can lead to in support and customer service.
It can detect in which processes there are “bottlenecks” within the company. But it can also go a step further and deduce under what specific circumstances they occur.
If properly configured for this purpose. AI could be able to analyze data (both structured and unstructured) and draw conclusions much faster than a person dedicated to “Data Mining.”
Data prediction is another area that can improve, allowing. For example, to anticipate which customers are not going to pay their following bills on time.
We may know that our product sells more in certain months of the year. But perhaps we have not had time to analyze if this occurs in all countries or is a generalized fact. If we let ourselves advise AI, we could find out which countries. Cities, ages, professional profiles, etc., focus on each era without spending too much time analyzing each one.
It could well control if business circumstances are occurring outside of a logical trend. Regardless of the department: sales, consulting, technical support, etc.
Within the recognition of natural language, or NLP, there is a branch dedicate to evaluating a person’s mood based on the written or narrated text. It allows us to know the level of satisfaction in the interaction with customers. Suppliers, and the general public concerning our brand.
Suppose we have the data and also the interactions generated by users and devices over time. In that case, we certainly have everything we need to feed any analytics software. Big Data, or, in the best of circumstances, Artificial Intelligence. A BPM software with the ability to track processes and manage data and also documents seems like one of the complete tools for generating business data.
Advanced learning algorithms will provide our business with a new analytical capacity. Predicting results based on different scenarios and helping us make decisions.
Just as an algorithm can learn to play chess. It can learn to optimize resources to obtain higher income in our company. And best of all. The algorithm gets more intelligent as more data will generate.
At Aura Quantic, we are continuously working on integrating Artificial Intelligence services into our BPM platform so that the user. Can have more brilliant decision gates in their processes.
More excellent detection of anomalies and also bottlenecks. Sentiment Analysis application to data inputs, predictive analytics, etc.
The power lies in information, and when algorithms can learn on their own. The data itself can become intellectual property. You have to try to make the most of this data through AI to gain a significant advantage in the market.
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