The futureup closeWORLD QUALITY REPORT
15th Edition 2023-24

AUSTRALIA &NEW ZEALAND
Are we witnessing the calm
before the storm?

Things that haven’t changed
Agile adoption continues to grow in Australia with varying
maturity levels across sectors and organizations. The focus
has now shifted to delivering value, aligned with businesspriorities rather than IT priorities. Overall, there seems
to be an increasing appetite to improve systems using
agile processes. Enterprises are also trying to strike theright balance between cost optimization and assurance byautomating more aspects of testing, while maintaining astrong focus on business alignment.

The pandemic completely reshaped the way we work,
collaborate, and deliver. With the worst after-effects
hopefully behind us, the ANZ IT ecosystem is now evaluating
which changes truly add value in this new era.

Along with that, digital transformation remains a constanttoo. Last year, we noticed cloud migration dominating thescene. The rise of modern technologies like NFTs (nonfungible tokens) and digital currencies, Web 3.0, and more,also pushed the need for robust Site Reliability Engineering(SRE) systems.

While off-site, remote, or hybrid working modes werepropagated and adopted in the past few years, ‘back-tooffice’ seems to be the flavor of the year. We see dismantled
centers of excellence coming back together under more
centralized command and control structures now.

Both in Australia and New Zealand, there has been a sharp
focus on SRE and its integration with quality engineering andDevOps. This has led to conversations about the skill setsrequired for this convergence, since SRE aims to ensure stable
digital cores.

While remote work and hybrid models remain common,there is a growing recognition of the importance ofin-person interactions to strengthen peer relationships andimprove collaboration. In some cases, we are even seeingorganizations incentivizing employees to embrace back-tooffice as a way of encouraging face-to-face interactions.
But despite these, some past trends remain relevant this year
as well.

1

However as is often seen in the field of IT, the need forstability is always counterbalanced by a wave of innovation– and the need to embrace the new. This year, it is Artificial
Intelligence (AI) and advanced automation.

What’s the hot topic?
We call this a wave because that is how it has catapulted into
the tech landscape globally. There is a heightened senseof curiosity and apprehension within organizations while
approaching AI.

While everyone is keen on taking advantage of AI and Gen
AI-infused tools to boost productivity, there’s also concern
about the degree of disruption it may bring, and the skills
needed to adapt to these changes.
Of course, no one wants to miss out on capitalizing on thistrend, but there is a need to distill it further to understandhow it will play out in various testing ecosystems andprocesses. What kind of effect can it truly have on enterprise
testing? Can it be used to create predictive or preventativetechniques? What kind of investments will we or our partner
enterprises need to make in AI?
These are the crucial discussions that organizations arehaving today.

Future trends and challenges
Looking ahead, we think that AI will continue to dominate
the quality engineering landscape in various forms – notnecessarily just in the realm of Gen AI. Exploring thefunctionality of automation and testing it from an end-to-end
perspective will further gain momentum.
We also think that sustainability will be a topic that will
challenge the way we conduct business, especially if
regulations to measure impact come into play.
As we continue to believe in the saying “The steady state
holds no place in IT,” it will be interesting to see how thingstransform next year and beyond.

So how is quality engineering
dealing with these lofty demands?
Organizations are expecting their quality engineering
workforce to be well-versed in cloud technologies, AI,
problem engineering, and automation now. They are looking
for people with a diverse skill set that spans multiple domains
and can swiftly transition between various skill areas to meet
evolving demands. We think that prompt engineering skills
are the need of the hour from a technical perspective. As QEs,
we must also know how to safely take advantage of the Large
Learning Model (LMM ) in the industry.
Upskilling and self-learning can be extremely vital for QEs
today. Knowing how to leverage DevSecOps, and quickly
adapt to Gen AI and full stack engineering while ensuringthat IT and quality engineering align with business values andobjectives is what we need to bring to the table.

Download the World Quality Reportwww.worldqualityreport.com

Survey Watch

49%

Organizations have used AI occasionallyfor performance testing / engineering

60%of respondents cite improved customer
experience as the quality outcome theirorganization is utilizing AI to drive

93%

Organizations have driven businessusing delivery PODs and large-scaletransformations

83%

Quality engineering associates
in organizations are agile
POD alignedor Scan the QR code

Contact OpenText
If you desire more information about testing tools,
please contact:

Mohsin Umar Mohammed
Head of Quality Engineering & Testing
Services, Capgemini Australia

Monica Garcia Manzanares
Global Campaign Manager, OpenText
mgarciamanza@opentext.com

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