MindsDB is an AI development cloud platform that streamlines the process of integrating machine learning into end-user applications. By connecting databases with popular AI frameworks, MindsDB empowers development teams to enhance their skills in building and maintaining AI/ML applications. Features of MindsDB include data integration with over 100 data sources, abstracting LLMs, time series, regression, and classification models as AI Tables, SQL-based interaction with AI Tables, automated workflows orchestration, seamless training and retraining of ML models, and the ability to enrich data with low-latency predictions and explainability metadata. Additionally, MindsDB integrates with business intelligence tools, automates data transformation with DBT, offers extensive documentation and code samples, and is an open-source project with a large community of contributors. It also features integration with Intel® Partner Alliance and Intel® Distribution of OpenVINO™ Toolkit, and works with all major Cloud Service Providers.Use cases of MindsDB include building chatbots and smart assistants for messaging apps, automating categorization and estimations through classification and regression, forecasting future behavior, providing recommendation engines for in-product suggestions, facilitating real-time R&D for evaluating AI Agents and ML workflows, and enabling rapid prototyping and deployment from prototype to production with zero infrastructure setup.To use MindsDB, follow these steps: 1. Connect your database: MindsDB seamlessly integrates with over 100 data sources, making it easy to connect your data to a full ecosystem of ML and LLMs.2. Build AI applications: MindsDB abstracts various models as AI-Tables, allowing you to interact with them using SQL statements for building and automating AI applications.3. Automate workflows: MindsDB enables you to orchestrate workflows in response to specific conditions or events, simplifying task automation and streamlining AI processes.4. Deploy and manage AI logic: MindsDB makes it straightforward to deploy and manage AI logic in end-user applications once models are trained, allowing you to publish your AI Agent without any infrastructure setup.