artificial intelligence

variety of mobile app icons How to Use Generative AI for Contextual Mobile App Testing

Generative AI is transforming mobile app testing by moving beyond code checks. GenAI Assertions allow testers to validate complex features, like image or text accuracy, using natural language prompts. This shift enhances quality and keeps testing aligned with rapid, AI-driven development.
Ranita Ganguly
A Guide to MCP: Providing Context for AI Models A Guide to MCP: Providing Context for AI Models

Model Context Protocol (MCP) is an open-source framework that gives AI models context and integrates them with external tools and data sources via a client-server architecture.
Deepak Vohra
Autonomous Databases: Self-Driving, Self-Securing, and Self-Repairing Autonomous Databases: Self-Driving, Self-Securing, and Self-Repairing

Autonomous databases, like Oracle's, automate management tasks, eliminating the need for DBAs. They are self-driving, self-securing, and self-repairing, using AI and machine learning for optimal performance and high availability.
Deepak Vohra
The AI Revolution in Software Quality Assurance: A New Era of Quality Engineering and Productivity The AI Revolution in Software Quality Assurance: A New Era of Quality Engineering and Productivity

State-of-the-art AI platforms are transforming SQA. Automation, improved visibility, and streamlined processes are boosting efficiency and effectiveness for QA teams today. As AI evolves, embracing it and developing the necessary skills will be crucial for QA professionals to thrive in the future.
Kevin Surace
Machines and Humans: Finding the Balance in Software Development Machines and Humans: Finding the Balance in Software Development

The rise of AI in software development brings efficiency and innovation, but raises concerns about maintaining a human-centered approach. The key is to find a balance where AI tackles repetitive tasks, freeing up human developers to focus on creativity, empathy, and user-centric design.
Jess Brock
Exploring the Features of CodeWhisperer and Its Role in the Future of Coding Exploring the Features of CodeWhisperer and Its Role in the Future of Coding

Learn how Amazon CodeWhisperer is uniquely designed to help you develop better code faster, improve security, protect your privacy, and strengthen—not threaten—your career as a coder.
Linda Hayes
Arvind Kumar Bhardwaj
Man guiding heavy equipment in a manufacturing plant How AI and Machine Learning Are Revolutionizing the Manufacturing IndustryManufacturing tasks used to be manual up until the Industrial Revolution. We’re now experiencing another revolution, with technology making processes easier, faster, and more efficient. Today, artificial intelligence and machine learning are automating machine maintenance, optimizing inventory, and even helping out humans.
Ray Parker
Illustrated data sets connecting in an AI system 5 Pitfalls to Avoid When Developing AI ToolsDeveloping a tool that runs on artificial intelligence is mostly about training a machine with data. But you can’t just feed it information and expect AI to wave a magic wand and produce results. The type of data sets you use and how you use them to train the tool are important. Here are five pitfalls to be wary of.
Chirag Mudsa