Predictive AI, also known as predictive analytics, is a subset of artificial intelligence (AI) that uses machine learning algorithms and data analysis to make predictions about future events or outcomes based on historical data patterns.
Scikit-Learn: An open-source machine learning library in Python that includes regression algorithms like linear regression and logistic regression. It can be used for various predictive tasks, including sales forecasting and risk assessment.
Google Analytics: While not exclusively a predictive AI tool, Google Analytics offers predictive modeling features that help businesses analyze website traffic trends, user behavior, and conversion rates to optimize marketing strategies.
IBM Watson Supply Chain: This AI-powered tool offers predictive analytics to optimize supply chain operations, including demand forecasting, inventory management, and logistics planning.
IBM Watson for Healthcare: This tool uses predictive AI to assist healthcare professionals in diagnosing diseases, predicting patient outcomes, and optimizing treatment plans.
RapidMiner: RapidMiner is a data science platform that includes predictive analytics capabilities for financial institutions to make forecasts, assess risks, and detect fraud.
SAS Energy Forecasting: SAS offers predictive analytics solutions for energy companies to optimize energy production, demand forecasting, and grid management.
The Weather Company (an IBM company): This tool combines AI and meteorological data to provide accurate weather forecasts and insights for businesses and consumers.