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Data Science Guide

Read more about AI, machine learning, data science and business intelligence and the role they play in the data cloud.

Python for Data Science

In this guide, we’ll explore why Python has become a go-to language and how it's used in machine learning (ML) and artificial intelligence (AI) applications.

Advanced Analytics Makes Organizations Smarter

Advanced analytics describes a basket of modern data analysis tools and practices to uncover useful patterns and relationships to reveal key business insights.

Predictive Modeling for Confidence in Decision-Making

Predictive modeling, or prediction modeling, is a method of identifying trends and envisioning future outcomes by using various methods of modeling data.

What Is XDR (Extended Detection and Response)?

XDR (extended detection and response) is an emerging cybersecurity technology that provides a holistic view of threats and provides real-time security insights.

Prediction Analytics or Predictive Analytics

Predictive analytics uses data to find patterns and trends, which are applied to new or different data with predictive data modeling to predict future trends.

Data Analytics for Retailers

Retail data analytics enables a data-driven approach to more easily adapt to changing consumer preferences, supply chain disruptions, and labor market forces.

Internet of Things (IOT)

IoT is a network that collects and shares data from physical objects about usage and performance through sensors, software, and communication hardware.

Python Applications: Accelerating Data-Centric App Development

In this article, we’ll explore the primary reasons driving Python’s rapid adoption and share examples of how it’s being used in application development.

Sales Forecasting: Using ML to Improve Pipeline Forecasting Accuracy

Learn how businesses use sales forecasting in planning, risk management, financial performance optimization, and customer satisfaction.