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artificial intelligence

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's picture
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's picture
Jess Brock
Generative AI: Pushing Software Development Forward? Generative AI: Pushing Software Development Forward?

Generative AI is fundamentally changing software development by automating tasks and improving code quality, but developers need to be aware of its limitations and biases.

Adam Sandman's picture
Adam Sandman
Man guiding heavy equipment in a manufacturing plant How AI and Machine Learning Are Revolutionizing the Manufacturing Industry

Manufacturing 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's picture
Ray Parker
Illustrated data sets connecting in an AI system 5 Pitfalls to Avoid When Developing AI Tools

Developing 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's picture
Chirag Mudsa
Colored blurred web scripts on a screen Machine Learning and Deep Learning: What's the Difference?

Many people think that machine learning and deep learning are each just a fancy way to say artificial intelligence, but that is a misconception. Both terms represent subsets of AI technology, but they are different, and their differences dictate the functionality and application of these two software solutions.

Alice Jones's picture
Alice Jones
Tariq King Shaking Up Software Testing with AI: A Slack Takeover with Tariq King

Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Tariq King, founder and CEO of Selftest IO, hosted this Slack takeover and discussed all things AI, including using it with legacy systems, how it affects test strategy, and boosting your tests.

Beth Romanik's picture
Beth Romanik
Person holding a smartphone displaying many apps AI and Machine Learning: Revolutionizing App Development

Artificial intelligence and machine learning are the new disruptors that will define app growth in the future. Cutting-edge features developed using these technologies can help give your app the edge over competition with exciting and useful new abilities. Here are some of the benefits to making your app a smart app.

Ashish Goyal's picture
Ashish Goyal