Get your business AI-ready

Review your company strategy, capabilities, and culture to learn whether AI is the right move for you.

Explore this interactive data-rich assessment tool to learn how AI is providing a competitive edge to businesses like yours.

This new two-part series covers key issues for leaders at banks and other financial institutions to consider when looking to transform their business and the industry using AI technology.

Find machine learning examples in financial services, including predicting credit risk, monitoring for online fraud, and anticipating economic factors that can affect your customers and your business.

Demystify AI and learn how it can help solve healthcare challenges. Explore how advanced analytics can leverage data to enable predictive care - helping to identify early warning signs of disease in patients and to recommend more precise treatment.

Find examples of Azure AI machine learning solutions that can detect and predict disease, monitor patient activity to more efficiently deliver care, and predict hospital readmissions.

Government agencies work hard to deliver value to society and demand for services is increasing, even as budgets are constrained. AI can help transform policy into impact, improving services while increasing transparency and reducing costs.

Learn about how Azure can help your agency deliver improved citizen services with a broad selection of tools on a robust, flexible platform that includes advanced security and intelligent solutions.

Industry leaders and policymakers from around the world share insights into how to incorporate AI ethically to build competitive manufacturing while addressing short-term disruption.

Use machine learning to keep systems running efficiently and economically. Get started by learning from examples such as predicting equipment maintenance needs and forecasting energy prices.

Get best-in-class examples and strategies for enabling data-driven, customer-first retail to help you win your category with better service, better processes, and deeper insights into your market.

To begin applying AI to your retail business, learn from examples in areas such as sales forecasting, predicting customer churn, developing pricing models, classifying customers, and more.