Artificial Intelligence Use Cases in companies
Blog: Auraportal Blog
Companies are increasingly aware of the importance of gradually incorporating Artificial Intelligence into their business models. However, the lack of knowledge on the subject and the difficulty companies face when taking the first steps often ruin many of the initiatives. In this article we will explore some Artificial Intelligence use cases that will help you detect where and how you can leverage AI.
ARTIFICIAL INTELLIGENCE USE CASES
In a business environment, AI is most commonly used to extract patterns or relevant information from the generated data, and to assist with decision making. However, the possibilities are virtually endless and these applications can make improvements in any area, such as:
Similar to how we use it on our mobile device, a virtual assistant can take charge of scheduling meetings, suggesting articles of interest, recommending contacts or keeping track of employee tasks in the workplace.
Customer Service Improvement
The use of chatbots to solve customer queries or incidents could be one of the most important short-term improvements for companies, thanks to the savings generated in support and customer service.
Not only can you detect which processes are subject to “bottlenecks”, but you can also go one step further and deduce under what specific circumstances these bottlenecks occur.
If properly configured, AI could analyze both structured and unstructured data and draw conclusions much faster than a person dedicated to “Data Mining”.
Data prediction is another area that can be improved, by, for example, anticipating which customers will not pay their next bills on time.
Marketing and smart sales
We may know that our product sells more in certain months of the year, but we may not have had time to analyze whether this occurs in all countries or if this is a generalized fact. By leveraging AI, we could uncover much more information such as: in which countries, cities, ages, professional profiles, etc. focusing on each era without investing too much time in the analysis of each one.
To flag, monitor and control any deviations to normal or expected business patterns. This can run across all departments: sales, consulting, technical support, etc.
Within the branch of Natural Language Processing or NLP, there is a branch dedicated to evaluating the mood of a person based on the written or narrated text. This gives us a sense of the level of satisfaction with our brand when interacting with customers, suppliers and the general public.
AURAPORTAL BPM AND ARTIFICIAL INTELLIGENCE
BPM software with the power to track processes and manage data and documents is one of the most complete tools for generating business data. The collection of data and interactions automatically generated by users and devices over time, gives us everything we need to feed any analytics software, Big Data or, at best, Artificial Intelligence.
Progressive learning algorithms will provide our business with a new analytical capacity, with the power to predict results based on different scenarios and help with decision making.
Just as an algorithm can learn to play chess, it can learn to optimize resources to generate greater income for a company. And best of all, the algorithm becomes smarter as more data is generated.
In AuraPortal we are continuously working on the integration of Artificial Intelligence services in our BPM platform, so that our users can have smarter decision gates in their processes, greater capacity for detection of anomalies and bottlenecks, application of Sentiment Analysis to data inputs, predictive analytics, and much more.
The power lies in the information, and when the algorithms are capable of self-learning, the data itself can become intellectual property. That is why we make full use of this data through AI to obtain a significant market advantage.
This is the fourth and final installment of a series of articles on Artificial Intelligence. Below you can see the previous articles that complete the series:
To understand the benefits of using BPM as a platform to orchestrate Artificial Intelligence we recommend you visit the following page: