Developing and executing a solid QA test plan is essential for guaranteeing software quality. From developing test cases, both manual and automated, to creating a plan that ensures comprehensive coverage of the system and components, a proper plan lays the groundwork for successful software testing. This article provides 10 proven steps to help you quickly write a QA test plan.
Enterprise AI implementation requires integration of advanced AI and ML capabilities into existing business processes to optimize and streamline workflows, make use of vast data repositories, and help enterprises solve their unique business challenges. In this article we will 10 of the best machine learning platforms available on the market.
In 2022, organizations used an average of 3.8 AI tools doubling the 1.9 used in 2018. Artificial intelligence is one of the most powerful and rapidly advancing technologies, with the potential to revolutionize the way businesses operate, helping them to automate mundane tasks, improve decision-making, focus on more strategic tasks, drive efficiency and secure bottom line cost savings.
With the rapid integration of AI technology into products, designing for AI has become a crucial element of UX design process. To stay ahead of the curve and build effective, intuitive, and solutions, product teams need to adherence to new human-AI interaction principles. In this article, we’ll help you embrace those new principles by walking you through 12 expert tips for designing for AI.
Businesses across the globe are leveraging the power of imagery to captivate their audiences, tell compelling stories, and drive engagement across the web. However, the traditional approach to generating visual content—hiring professional designers or buying expensive stock images—can be expensive. AI image generators can alleviate these costs by producing high-quality visual content in seconds!
Effective requirements elicitation is a critical component of successful software development projects. To help teams navigate the requirement gathering process with confidence, we've compiled a list of 8 popular requirements elicitation techniques that can be applied to any software development project. They will help you improve communication, increase stakeholder engagement, and ultimately lead to a more effective and efficient software development process.
Looking to scale your small business but not sure what software you need? You’re not alone - nearly two-thirds (64%) of small businesses say technology is a primary factor in pursuing their business objectives. But, choosing the right software for your small business can be a daunting task. In this article we will provide you with 6 critical steps to assess your small business software needs and help you find the right solutions.
AI coding assistants are revolutionizing software development by providing intelligent code suggestions, automating mundane tasks, and improving developer productivity. If you’re looking for new ways to incorporate AI into your software workflows, integrating an AI coding assistant might be the right place to start.
Effective requirements gathering in agile software development projects is fundamental to achieving success. With the right approach, your team can prevent costly rework, ensure stakeholder alignment, and guide more effective user needs discovery throughout the project. In this article, we'll show you how to do it right, with 10 powerful techniques that will help you reduce project risk and ensure stakeholder needs are met.
Do you want to leverage the latest small business technologies to optimize your business processes and stay ahead of the competition? Do you want to make sure you’re maximizing the ROI of your tech investments? As technology continues to revolutionize the way we do business, small business owners can benefit greatly from harnessing the power of tech.
Data modeling is a powerful tool that can help businesses make informed decisions, optimize processes, and achieve their strategic objectives. In this article, we’ll provide 7 tactics to maximize the power of data modeling and give you the edge of your competition. You’ll learn how to use business data modeling and how to get the most out of it.
From setting the right expectations, through gathering necessary input data, to testing various approaches to the problems that are discovered on the way to the final solution, the process is far from easy. In fact, 85% of AI projects fail to deliver on their intended promises to the business! This ultimate guide to AI project management will help you tackle your AI project with confidence and ensure your project success.