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While 2023 sees an emphasis on digital immunity and resilience in the context of an upcoming recession, the expectation for businesses to pursue post-pandemic growth has been threatened by managing recession and inflation.
While the pressure to digitize fast, automate and release software quickly is still there, companies are dealing with crises in energy sourcing, supply chain and digital skills.
While sustainability has been pushed further to the forefront of technological trends, there is an increased desire for solutions to be industry relevant and integrated.
This article will look at three significant future automation trends to watch out for in 2023.
So what technological trends are affecting industries and what specifically is the concept of a Digital Immune System (DIS)?
Essentially, it means combining software engineering strategies to create an enhanced customer experience and protect against risk.
Read more: Software Bugs in Recent History.
Making resilient systems that mitigate against operational and security risks involves automation and testing, as well as design and observability.
By 2025, organizations that invest in building digital immunity will increase customer satisfaction by decreasing downtime by 80%.
One of the key objectives of DIS is optimization and, specifically, connecting software development to business outcomes.
A central theme to this trend – and one that is heavily linked to QA – is the aim of fostering a collaborative culture across organizations and teams. Collaboration between leaders of resilience-related initiatives needs to be strong.
By maintaining the value integrity of AI systems in production, DIS aims to optimize IT system for greater reliability.
Along with Censuswide, Leapwork has produced a 2022 Risk Radar Report looking into risk in QA.
Adaptive AI is another significant technological trend in 2023.
Adaptive AI is different from contemporary machine learning approaches. It brings together a set of methods and AI techniques to let systems adapt to changing real-world circumstances while in production.
It does this by enabling those systems to adjust their learning practices and behaviors.
Read more: Test Data Management: What You Need to Know
It enables systems to adapt their learning practices and behaviors while in production. This is done using a set of methods and AI techniques, resulting in systems being able to adapt to real-world circumstances.
This kind of continual learning could lead enterprises who are adopting them to significantly outperform their peers.
It can accelerate value and align enterprises goals to AI on a continuous basis, allowing for changes to model behavior postdeployment. Businesses will be able to manage adaptive AI systems by integrating measurable business indicators.
For those who can adopt these models, they will see greater business value.
Capgemini’s World Quality Report of 2021-22 highlights that AI can be used to continuously observe what’s changing and figure out what to test, and build test suites accordingly.
By 2027, more than 50% of enterprises will use industry cloud platforms to accelerate their business initiatives – Gartner.
When companies try to grow their revenue and accelerate digital transformation, adopting Industry Cloud Platforms constitutes another key technological trend in 2023.
From what have been generic solutions, industry cloud platforms allow platforms to provide services specific to each user’s industry. Cloud services have traditionally been purchased separately from industry-relevant solutions.
Today, they are being integrated into tailored, industry-specific functionality – they can more easily adapt to each industry’s functionalities.
Again, this trend is bound up with the need for teams across enterprises (in this case business technologists and fusion teams) to have good understanding.
Overall, the themes of industry cloud platforms, adaptive AI and digital immune systems show an emphasis on collaboration, security and resilience in the context of upcoming recession and growing risk awareness.
If you want to find out how to create an agile test automation strategy, download our checklist below. It covers how to decide which processes and technologies to automate, how to release software into production, and how to analyze failure and take appropriate action.