LOGIBLOX enables you to use the power of AI with a guided and automated process to analyze and train your data in minutes. No code required.
A SME company faces a big challenge in effectively leveraging its growing data complexity to drive business insights and make data-driven decisions.
Traditional manual approaches to developing and shaping statistical or machine learning models are time-consuming, resource-intensive, trial and error and require specialized technical expertise. The company recognizes the need for an efficient and accessible solution to automate the process of developing its analytics and AI capabilities to unlock the potential of its data. Huge challenges reside in accurately classifying customer behavior and forecasting sales trends.
The company decides to use LOGIBLOX platform and its out-of-the-box AI Wizard (with AutoML Automated Machine Learning) to address its data analysis and modeling needs.
Depending on the nature of the problem that you want to solve, you can choose between Classification (categorial predictions, independent data points, feature importance) or Time Series (temporal dependencies, trend analysis, sequential data modelling):
Classification:
The AutoML platform offers a range of classification algorithms, such as decision trees, random forests, support vector machines, and neural networks. The platform automatically selects the most suitable algorithm based on the characteristics of the dataset and the classification task. It handles data preprocessing, feature selection, and model training, optimizing the performance of the classification models.
Time Series Analysis:
The AutoML platform includes specific modules for time series analysis, equipped with algorithms such as ARIMA (AutoRegressive Integrated Moving Average), SARIMA (Seasonal ARIMA), and LSTM (Long Short-Term Memory) networks. The platform automatically identifies seasonal patterns, trends, and dependencies in the time series data. It optimizes model parameters and handles data preprocessing tasks such as differencing, scaling, and handling missing values.
Our No-code approach can save valuable development time and reduce the risk of errors.
LOGIBLOX can automatically select the best forecasting algorithm and tune its hyperparameter to improve the model's accuracy.
LOGIBLOX can handle large volumes of data and automatically scale the computational resources as needed.