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How is AI in DevOps Transforming Software Development

‍ They started in awe, which soon turned into desperation to keep up, and it is only now that we have started realizing the utility and business value of our Artificial Intelligence (AI) goals. I like this stage of our industrial revolution, where we are no longer expecting magic from AI but are integrating it nevertheless for all the wonders it can still do for our businesses. This was the same space where our DevOps efforts started yielding enterprise-level transformations.

Top DevOps Tools You Need to Streamline Your Workflow in 2024

There is a sense of growing maturity in the DevOps market that is also reflected by its evolving tools. For the past some time, I’ve also seen these tools expanding beyond the limited utilities of continuous integration and continuous delivery. They are now seeping into database management, QA automation, and even AI integration in the SDLC. However, I see no deviation in their efficiency that enables teams to transition smoothly from ITOps to DevOps.

A Comprehensive Guide to Test-Driven Development in Software Engineering

I often wonder about Steve Wozniak’s claim that the first computers were built to help “common people rise.” Correlating the evolution of software with the upheaval of our human society brings a very hopeful sentiment. Now, software engineering methodologies cater to more nuanced requirements of our “rising,” such as allowing space to correct mistakes (agility) and openness to feedback (adaptability).

How AIOps is Transforming the Future of IT Operations?

Sam Altman, the key visionary behind the popular adaption of Gen AI and essentially the father of ChatGPT, deemed it “unthinkable” to have products and services without AI integration in the future. I’m sure that among other beliefs that inspired him to make such claims, the need for intelligence beyond efficiency in the modern digital ecosystem was a key one. It only makes sense to rethink IT management in this context and replace our traditional methods with the benefits of AIOps.

Outsourcing vs. In-house Software Testing: Which Is Right for Your Business?

Software testing is welcoming the upheavals in the digital world, including the emergence of AI, data analytics, cloud computing, and more. Businesses are engaging with more sophisticated testing versions like continuous testing, shift left, security testing, and more. That’s why a world aspiring for applied AI reports a CAGR of more than 7% post-2024. Therefore, businesses across industries unanimously agree upon the critical importance of software testing.

AI in Quality Assurance: How AI is Transforming Future of Quality Assurance

‍ ‍John McCarthy, an American computer scientist, stated this belief more than 40 years ago. Surely, his commitment to understanding the human mental process led him to ideate one of the most revolutionary ideas in computer science—artificial Intelligence (AI). Since then, AI has helped us develop software, utilize it to streamline our business offerings and maintain another essential aspect of digital ecosystems—quality assurance.

AI in Software Testing - What it is and How to use it?

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.

Why Your Business Needs Bespoke QA Consulting: Explained

Businesses across diverse industries navigate distinct requirements, regulations, and challenges in software development and quality assurance. What proves effective for healthcare software might translate differently than banking software due to differing regulatory landscapes and privacy considerations. Hence, QA consulting services play a pivotal role in leveraging industry-specific expertise to tailor solutions that meet the unique quality needs of each sector.

Product Engineering Strategy: A Guide to Build Better Products

According to Statista, the global number of software developers is increasing significantly and is projected to reach 28.7 million by 2024. The main reason for this growth is the rising demand for skilled technocrats to address the needs of software product engineering in building new-age digital experiences. However, the highly competitive software product engineering demands more than skilled technocrats - it needs the right strategy.y.

The Ultimate Guide to Usability Testing: Improve User Experience and Product Success

Modern digital ecosystems seek profound insights into user interactions so that the business visions guiding them can leverage pinpointed usability issues. To ensure digital success in your industry, it is crucial to conduct a thorough assessment that fosters an objective understanding of the product. This approach aids in catering to the audience in a more thoughtful manner..