Explore how AI for business improves productivity, customer experience, decision-making, and operations—plus key use cases, risks, and a practical adoption strategy. Artificial intelligence is no longer just a technology trend. It is becoming a business capability. In 2024, 78% of organizations reported using AI, up from 55% the year before, according to Stanford’s 2025 AI Index . McKinsey’s 2025 global survey also found that companies are moving beyond experimentation and beginning to redesign workflows and assign leadership responsibility for AI governance . For business leaders, that changes the question. The real issue is no longer “Should we use AI?” It is “Where can AI create measurable value, and how do we deploy it responsibly?” The strongest business case for AI is not hype. It is better productivity, faster decisions, improved customer experience, and the ability to scale knowledge across teams. Research from the National Bureau of Economic Research found that access...
Introduction Learn how to deploy a FastAPI application using Docker and Google Cloud Run — step-by-step from writing the app, building the container, pushing it, and running it in Cloud Run. Deploying modern Python web APIs has become easier than ever thanks to frameworks like FastAPI and serverless container platforms like Google Cloud Run. In this post we walk through how to build a FastAPI application, wrap it in a Docker container, push it to Google’s container registry, and deploy to Cloud Run. We’ll use a reference article as a base structure. By the end of this tutorial you’ll have a running FastAPI service accessible on the web, and you’ll understand how the pieces fit together. Why use FastAPI and Cloud Run? FastAPI – modern, fast, Python-based FastAPI allows you to build APIs with very good performance, automatic interactive docs (OpenAPI/Swagger) and type hints. It’s increasingly popular for production-quality APIs in Python. For example, you m...