Materials R&D involves extensive trial and error across compositions, structures, experimental conditions, and characterization data. This session introduces practical applications of AI and materials informatics through real-world examples. We will also introduce Multi-Sigma Alchemy, an integrated AI platform supporting AI model development from experimental data, featurization of molecular, crystal, spectral, and image data, property prediction using pretrained AI models, materials exploration, and optimization of experimental conditions.