Automation Development

Test automation is a fantastic field of engineering. Unfortunately, most test automation efforts fail soon after being initiated. From the many promises of ease of automation to oversimplified vendor demonstrations, it's easy to spend significant time and cost pursuing test automation with little to show in the end. If only there was a way to avoid the pitfalls encountered when embarking upon test automation? Greg Paskal shares his best insights learned as a successful test automation engineer.

Artificial intelligence is transforming lives and revolutionizing industries. This accessible guide to generative AI and machine learning is for tech enthusiasts and forward-thinkers alike—whether you're in IT or a professional from another field looking to stay ahead and curious about AI’s impact on the future, this book provides the essential insights you need to stay competitive and informed in the Age of AI.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

Is Raspberry Pi 2 what you want to learn? Always wondered how one becomes proficient in this programming language? Does it interest you how Raspberry Pi works? Download this book to discover everything you need to know about programming!

Proactive Risk Management's unique approach provides a model of risk that is scalable to any size project or program and easily deployable into any product development or project management life cycle. It offers methods for identifying drivers (causes) of risks so you can manage root causes rather than the symptoms of risks. Providing you with an appropriate quantification of the key factors of a risk allows you to prioritize those risks without introducing errors that render the numbers meaningless.