Year after year, we see how artificial intelligence has gained great popularity thanks to different tools, such as ChatGPT. In this way, the truth is that the future of artificial intelligence can be very positive, given that companies can take advantage of this technology to boost their work processes.
According to Gartner, 70% of organizations will have operational and high-maturity AI structures by 2025. The same happens with Forrester, which makes a strong prediction: 1 out of every 5 organizations will double their investments in AI in the coming years.
Now, what are those uses that can be observed in the coming years? Our partner UiPath has indicated 5 of them that could be key to the future of artificial intelligence. In this article, we will tell you how AIs will boost business innovation in the coming years.
5 Innovative Uses that Will be Part of the Future of Artificial Intelligence according to UiPath
It should be noted that, according to UiPath, AI will not be a magical solution that can be implemented in the same way in all companies. To do this, it is necessary to understand the underlying structures of each process and the basic functionalities that AI can optimize, always based on the planned objectives.
While it is necessary to highlight that many of these innovations are already underway, the key is to understand that in a few years, these applications of artificial intelligence could be very polished. That said, we present the 5 applications that could be part of the future of artificial intelligence according to UiPath:
1. Document Interpretation
Artificial intelligence in the future will improve the ability to interpret and understand documents more accurately and quickly. In the coming years, it is expected that AI will further develop its ability to extract valuable and relevant information from large amounts of text documents, which will allow companies and organizations to process data faster and make more informed decisions. For this reason, this task will be key to the future of artificial intelligence.
2. Computer Vision
AI is rapidly improving the ability of computer vision systems to recognize objects, faces, and scenes. In the coming years, it is expected that AI will further improve the accuracy and analytical ability of computer vision systems, which will allow companies and organizations to automate tasks such as quality inspection and surveillance.
3. Natural Language Processing (NLP)
About the future in artificial intelligence, AI will transform natural language processing (NLP), allowing systems to understand human language and respond effectively. In the coming years, it is expected that AI will further improve the ability of NLP systems to understand natural language in different languages, dialects, and contexts, which will allow companies and organizations to automate tasks such as customer service and email classification.
4. Scientific Discovery: Process Mining and Task Mining
AI is changing the way scientific discovery is done. In the coming years, it is expected that AI will improve the ability of scientists to analyze large amounts of data and find hidden patterns and relationships. Process mining and task mining are two techniques that are expected to benefit significantly from AI, allowing scientists to discover new ways of approaching complex problems.
5. Predictive Analytics
In this way, AI is transforming predictive analytics, allowing companies and organizations to predict the future behavior of customers, market trends, and other important events. In the coming years, it is expected that AI will further improve the ability of predictive analytics systems to process large amounts of data and generate more accurate predictions, which will allow companies and organizations to make more informed decisions.
The uses of artificial intelligence will continue to enhance different sectors of the industry
According to UiPath, there will potentially be no industry that will not be influenced by artificial intelligence. All sectors, to a greater or lesser extent, will benefit from automation. For example, banking and financial services, telecommunications, pharmaceutical industries, and human resources are some of the areas that will improve with the continuous implementation of new automated functions.
At Epidata, we accompany companies’ transformation through our innovation outsourcing developments. For this reason, we chose UiPath as one of the tools that allow us to use key functions for the future of artificial intelligence to cover all the automation needs of our client’s corporate processes.
*References: adapted from UiPath (2022): https://www.uipath.com/blog/ai/5-common-artificial-intelligence-business-scenarios
About Epidata
Global privately-owned company specialized in innovation outsourcing, dedicated to providing software development and software design services, application modernization, RPA, machine learning and Big Data, among others. Its solutions transform businesses, optimizing operations and co-creating better digital experiences for customers and employees.
Epidata has alliances with leading innovation and knowledge companies such as Microsoft, GitLab, Mulesoft, Salesforce, Oracle, MariaDB, Red Hat and UiPath. These partnerships help other companies to stay current.
Epidata operates in Argentina, Chile, Colombia, Peru, Uruguay and the United States (San Francisco, California), where it has a track record of successful support to multinational corporations such as Stanford Research Institute International, JP Morgan, Tenaris, Turner, Telecom, HSBC, Monsanto, Walmart, Asana, among others.
