There are many questions and myths that artificial intelligence brings us: will robots govern us? Will the machines do all the work for us? What will be the purpose of our lives?
Futurism aside, what is already being considered is a paradigm shift and a revolution in how we do things. And, when it comes to data management, artificial intelligence plays a leading role. Why and how can I incorporate it?
Big data management: beyond BI
Today, machines’ ability to see, understand, and interact with the world is growing at an accelerated rate and increases every day thanks to data, which helps to learn and understand even faster. In this way, today, Big Data is considered as the fuel that powers AI.
Every year, the amount of data we produce doubles, and it is no longer enough to have the information: we want to understand and interpret it. Regardless of the company’s size, data plays an essential role in all business decisions, and its analysis is critical to take the appropriate actions on time.
However, managing them can be complicated. Any company that works with Big Data and IoT devices knows that processing, storing, and making sense of information is an enormous task. Fortunately, AI has arrived in the world of data management, allowing real-time and always available access to tools that will enable rapid analysis.
The integration of Machine Learning, for example, is already providing greater automation of information-related tasks, such as data storage, classification, extraction, and interpretation, optimizing the efficiency of all workflows.
Applications of artificial intelligence in information management
From cataloging data to interpreting it, Artificial Intelligence provides fascinating new ways to process vast content quantities. These are the main advantages:
Automation of data processing
AI and Deep Learning (deep learning) automate all routine tasks related to data, such as integration and management.
According to numerous parameters, data can be automatically sorted, eliminating the need to review it, as was done in traditional processes manually.
Check the quality of the information.
In addition to processing all the data, Artificial Intelligence also allows checking quality problems or inconsistencies. This technology is translated into a useful quality control tool to empower analytically and Big Data applications to draw reliable conclusions that aid with corporate decision-making.
When these issues are discovered, AI-based applications can automatically make corrections or flag these anomalies for the team to consider and take corrective action.
Legacy data integration
There is still a large amount of information, not digitized or in offline formats, stored in traditional management platforms. Advanced Artificial Intelligence technology allows these data to be rescued and made accessible, thanks to which they can be converted into systems readable formats and stored in the cloud for further processing, optimizing business intelligence to the maximum.
Develop rules for automated data management
Knowing which information to store and which to discard is a very recurring problem in any business’s management tasks, especially in those in which the volume of data is very extensive.
AI helps make these decisions, analyzing data usage patterns, and recommending optimal strategies for data management and storage.
Ultimately, it is no longer a question of whether to harness AI’s potential or not, but of how to do it. All those organizations with large volumes of information are adopting Artificial Intelligence as a critical tool to manage their data. This technology will allow them to maximize the use and availability of data to predict scenarios, make real-time decisions, and even prevent failures or errors.
