Over 70% of Organizations Investing in AI for Quality Engineering, Finds New Report

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Over 70% of Organizations Investing in AI for Quality Engineering, Finds New Report

A new report has revealed that an increasing number of organizations are investing in artificial intelligence (AI) solutions to enhance their quality engineering (QE) practices. The report, published by Capgemini, Sogeti, and OpenText, states that 77% of firms are making investments to integrate AI into their QE infrastructure. This investment comes as 67% of organizations globally have already incorporated quality engineering at the core of their business operations.

The primary outcome driven by AI, according to respondents, is higher productivity, with 65% citing this as the main benefit. The report suggests a shift in testing philosophy, with organizations now focusing more on fixing defects quickly and efficiently rather than solely prioritizing increasing test reliability and reducing the number of faults.

Muhi Majzoub, Chief Product Officer at OpenText, commented on the findings, stating, As the findings in the World Quality Report demonstrate, 77% of businesses understand this and are making investments to make AI a critical part of their quality engineering infrastructure. He further remarked that the impact of AI extends beyond just investors and customers, but also provides economic, social, and environmental benefits.

The report also highlighted sustainable IT as an increasing area of interest for quality teams. A significant majority, 97%, believe that QE plays an active role in driving the sustainability agenda within their organizations. Furthermore, over half, 55%, recognize the environmental benefits of sustainable IT.

In addition, over 70% of organizations value a central Testing Center of Excellence (TCoE) over traditional project-level QA practices. This indicates a shift towards Agile quality management, which emphasizes continuous improvement, adaptability, and customer-centricity.

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The report highlighted changes in the skills prioritized by quality engineers, with development skills like SQL, Python, C#, Java, and CI/CD gaining importance over traditional testing skills like automation and performance tooling.

Mark Buenen, Global Leader of Quality Engineering and Testing at the Capgemini Group, noted the role AI can play in generating test cases and automating quality procedures. He also emphasized the significance of quality practices in improving value delivery to customers and end users.

As organizations recognize the benefits AI can bring to quality engineering, more investments are being made to implement AI solutions, ultimately improving productivity and driving overall business outcomes. The shift towards sustainable IT and Agile quality management further highlights the evolving nature of quality engineering in the digital era.

Keywords: organizations, invest, artificial intelligence, quality engineering, report, productivity, defects, sustainable IT, testing philosophy, Agile quality management, skills, automation.

Frequently Asked Questions (FAQs) Related to the Above News

What percentage of organizations are investing in artificial intelligence (AI) for quality engineering?

According to the report, 77% of firms are making investments to integrate AI into their quality engineering infrastructure.

What is the main benefit that organizations expect from implementing AI in quality engineering?

The primary outcome driven by AI, as cited by 65% of respondents, is higher productivity.

How are organizations changing their testing philosophy with the incorporation of AI?

The report suggests a shift towards fixing defects quickly and efficiently, rather than solely focusing on increasing test reliability and reducing the number of faults.

Is sustainable IT becoming a focus for quality teams?

Yes, the report highlights sustainable IT as an increasing area of interest for quality teams, with 97% of respondents believing that quality engineering plays an active role in driving the sustainability agenda within their organizations.

Are organizations prioritizing a central Testing Center of Excellence (TCoE)?

Yes, over 70% of organizations value a central TCoE over traditional project-level QA practices, indicating a shift towards Agile quality management.

How are the skills prioritized by quality engineers changing?

The report indicates that development skills like SQL, Python, C#, Java, and CI/CD are gaining importance over traditional testing skills like automation and performance tooling.

How can AI contribute to quality engineering practices?

AI can generate test cases, automate quality procedures, and ultimately improve value delivery to customers and end users, as mentioned by Mark Buenen, Global Leader of Quality Engineering and Testing at the Capgemini Group.

What are the broader benefits of AI in quality engineering?

According to Muhi Majzoub, Chief Product Officer at OpenText, AI not only impacts investors and customers but also provides economic, social, and environmental benefits.

What does the report say about the evolving nature of quality engineering in the digital era?

The report highlights the increasing investments in AI for quality engineering, the shift towards sustainable IT practices, and the adoption of Agile quality management, indicating the evolving nature of quality engineering in the digital era.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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