he programming It is no longer a support in business, but rather the heart of the growth of organizations and the economy in general. In banking, healthcare, e-commerce, energy, and in almost every sector, everything depends on applications that work flawlessly and agilely.
This pressure, resulting mainly from increasingly demanding users and increasingly competitive environments, has led to an evolution in quality testing. Today we are talking about A Test 2.0Where artificial intelligence (AI) stops being a promise and becomes a tangible tool to deliver more value in less time.
Thus, artificial intelligence in 2.0 testing, to find it Fewer errors and faster delivery of high-quality softwareis not a fad, but rather a response to increasing software complexity and demand for speed.
In Argentina, as in the rest of the world, local companies and suppliers are incorporating tools that automate fault detection, testing prioritization and analysis. Reduce delivery times Without sacrificing coverage or security.
And also as in the rest Information technologies (TI), AI does not replace the human laboratory: it enhances it. By automating repetitive tasks, prioritizing test cases, and predicting risks, AI reduces errors, lowers costs, and improves operational efficiency.
For these reasons, it is important to know what is happening in practice, the barriers that still exist in Argentina and the measures that companies are taking. Organizers To take advantage of the opportunity.
What does artificial intelligence do in testing?
AI does not replace human testing, it enhances it. Using machine learning algorithms and predictive analytics, AI helps automate repetitive tasks, prioritize test cases, and detect error patterns that would otherwise be impossible to identify manually.
It even allows you to predict risks based on historical data. The result is simple: the tester ceases to be a “state executor” and becomes an “executor”. Quality Analyst With more strategic focus, with greater value contribution.
In Argentina, where manual functional testing is still prevalent, we are already starting to see pilots integrating AI into platforms such as Jira Softwareamong other things, indicating initial progress towards this transformation.
This is why companies should be encouraged to innovate, and if they do not feel strong at first, it is important to be accompanied by companies committed to implementing Outsourcing innovationso that you do not miss arriving to the market on time.
In Argentina, the benefits are beginning to be seen Banking and communications servicesWhile SMEs see artificial intelligence as a tangible way to improve time and costs in a challenging economic context.
Cheerfulness has its benefits
In today’s dynamics, and the increasingly amazing advances in IT, the results of Test 2.0 can already be measured and are tangible in teams that embrace AI:
- Fewer errors in productionThanks to early detection.
- Reduce delivery timesBecause automated tests run in parallel and continuously. What used to require weeks of retreat can today be resolved in hours or minutes.
- Greater coverageBecause AI allows us to simulate thousands of combinations and use scenarios that go beyond human limits.
- Optimize resourcesby prioritizing critical cases and automating repetitive cases, saving time for strategic analysis tasks.
Therefore, in practical terms, this 2.0 test allows us to perform better and deliver faster, thanks to the fact that Lighter equipment achieves stronger productswith fewer failures and more competitive terms.
Juan Ceberra
Not All That Glitters is a Test: Limitations and Risks
Enthusiasm should not mask challenges. Artificial intelligence depends on the quality of data: Models trained with incomplete or biased information can lead to incorrect conclusions. The difficulty of integrating them into already standardized processes and the need to ensure transparency in algorithmic decisions also persist. The “black box” of some systems poses a danger that cannot be ignored.
In Argentina, what matters, more than technical limitations, is the lack of specific training in AI applied to testing and the perception that these tools are just a tool. Additional expenseswhen in fact it represents a strategic investment in quality. However, despite these assessments, it is clear that AI-based testing 2.0 is already a reality that must be embraced.
Manual functional testing will not disappearBut it will be transformed by artificial intelligence. The combination of human talent and artificial intelligence will be crucial in delivering more reliable, safer and faster products. In an increasingly competitive environment, it’s not about choosing between human or machine: it’s about combining the best of both.
In Argentina, it will be the key Invest in training Allowing testers to evolve towards a more strategic role, able to leverage AI without losing the critical and strategic perspective that characterizes local talent.
The future of testing is built on smarter teams, not necessarily bigger teams. Artificial intelligence and testing By working together they can set quality standards that transcend industries. This is testing 2.0.
Digital Innovation & Q&A Unit Manager at Epidata
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