Author: getondata

Key challenges faced by the healthcare industry in utilizing data and AI include data privacy, integration, and quality issues. Learn how these challenges can be overcome and how AI can... Read More

Machine learning detects fraud by analyzing patterns in historical data and identifying unusual behaviors. It uses algorithms like decision trees or neural networks, trained with labeled data, to classify transactions... Read More

In unsupervised models, machine learning algorithms process and analyze untagged data to identify patterns of normal buying activity and detect potentially fraudulent anomalies. AI is used in fraud detection through;... Read More

Learn how financial data visualizations can streamline your company's analytics, as well as how to make them effective and what platforms to build them. Data Visualization simplifies the reporting process... Read More

Data analytics is instrumental in optimizing the supply chain. It allows organizations to examine, clean, transform, and inventory data. Further data analytics helps transform inventory management capabilities, reduce cost, improve... Read More

Analyzing the impact of data visualization applications for diagnosing health conditions through the medical expert system increases patient care and manages medical reports through the data visualization process. For more... Read More