According to the DE-CIX Annual Report 2023, more than 3,100 connected networks circulated around 59 exabytes of data, a number that represents a 43% increase compared to the previous year.
In this scenario where the volume of generated data is colossal, companies are aware of the need to plan their strategies in a more data-oriented way. The data journey in companies is no longer an option but a necessity – and Artificial Intelligence emerges as an element capable of redefining every stage and providing competitive advantages.
The phases range from collection, storage, preparation, analysis, and visualization to decision-making. AI has an impact on all of them. In addition to facilitating and enhancing processes that were once complex and time-consuming, it is capable of filtering and categorizing large volumes of data, identifying those that are truly relevant to the company’s strategic objectives. This initial screening helps focus on information that can generate valuable insights, eliminating noise and irrelevant data.
In storage, AI optimizes the use of big data systems, making data stored efficiently and accessible. The use of intelligent algorithms can reduce operational costs and improve database management, making storage not only more cost-effective but also more effective in terms of data recovery and usage.
Data preparation, including cleaning and transformation, is one of the most time-consuming and critical tasks, and AI can help with this, as it can automate repetitive processes, detect anomalies, and standardize, reducing deadlines, increasing efficiency and accuracy as it reduces the possibility of human error.
Data analysis is where AI truly shines. With advanced machine learning techniques, companies can extract insights and perform predictive analysis based on historical data. These capabilities allow predicting trends, behaviors, and outcomes with a level of accuracy that would be impossible to achieve manually. AI facilitates the discovery of hidden patterns and correlations within the data.
In decision-making, AI-based support systems provide real-time recommendations. By integrating the tool into business processes, companies can quickly respond to market changes, adjust their strategies, and enhance the overall effectiveness of their operations.
The benefits of AI are undeniable, however, there are challenges to consider. Ethical and privacy issues arise with the use of personal and sensitive data, requiring strict compliance with regulations such as LGPD. Additionally, implementing AI can be complex, necessitating high investments in technology and specialized talents. The dependence on high-quality data for training AI models is also a critical point; without accurate and complete data, AI results can be compromised.
