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):
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.
Data Preparation: Upload your data into LOGIBLOX. We
LOGIBLOX AI on Rails enables the users to streamline the data preparation process. Simply upload your dataset to the wizard. You`re then guided through tasks such as data transformation and feature engineering. The solution automatically identifies relevant features and handles missing data, reducing the time and effort required for certain data preprocessing.
Model Selection & Configuration: LOGIBLOX will automatically select the best AI algorithm based on the
characteristics and the business objectives. For example, LOGIBLOX supports various time series forecasting
algorithms such as ARIMA, Prophet, and LSTM.
Model Training & Evaluation: LOGIBLOX will train the selected models based on your data and evaluate its
performance using various metrics such as RMSE and MAPE.
Model Tuning: If the model's performance is not satisfactory, LOGIBLOX can automatically tune
hyperparameters of the model using techniques such as grid search and Bayesian optimization.
Model Deployment: Once the model is trained and tuned, LOGIBLOX can deploy it via REST API or
integrate it into a custom app or dashboard build with the LOGIBLOX APP Designer (Learn more).
Time and Resource Savings: By automating the end-to-end process of applied AI models, a company saves significant time and resources. It eliminates the need for manual coding and iterative experimentation, allowing analytical users and analysts to focus on higher-value tasks such as interpreting results, generating insights and business optimization.
Increased Accessibility: LOGIBLOX democratizes AI by making it accessible to a wider range of users, including business analysts and domain experts with limited coding or machine learning expertise. The user-friendly interface and automation capabilities empower non-technical users to leverage the power of AI for business optimization.
Enhanced Accuracy and Performance: The solution's intelligent model selection, hyperparameter optimization, and iterative training processes result in improved model accuracy and performance. The company can make more accurate predictions, uncover hidden patterns in data, and gain deeper insights for better decision-making.
Scalability and Adaptability: The LOGIBLOX platform allows the company to scale its AI initiatives by automating repetitive tasks and providing a framework for rapid model development and deployment. It enables the company to adapt to changing business needs and leverage its growing data assets for continuous improvement.
By adopting LOGIBLOX, a company optimizes its data analysis and modeling processes, harnessing the power of AI to drive business optimization. The solution offers time and resource savings, increased accessibility, enhanced accuracy, and scalability. This enables the company to make data-driven decisions, uncover valuable insights, and gain a competitive edge in its industry.