Artificial intelligence is revolutionizing the day-to-day operations of numerous businesses by streamlining processes and reducing costs. From healthcare to cybersecurity and everything in between, AI has proven to be beneficial across a multitude of industries by automating mundane and repetitive tasks, allowing employees to focus on what really matters, innovation.
AI has also helped businesses scale production without diminishing the quality of their products and services, due to the technology’s ability to analyze vast amounts of data quickly and accurately. Whether it’s identifying defects or predicting maintenance needs, this game-changing technology is helping businesses maintain quality assurance.
The future is AI, resisting it is futile, no matter how hard we try. Of course, we can already hear technophiles out there rejoicing as they’re testing out new AI tools to better understand how they can improve and streamline their business operations.
Hundreds of sectors across different verticals can bear the fruits of technological advancements’ labor, some more than others. Obviously companies need to be open to changes and welcome the need for adaptation with open arms. If one takes a brief look at the online gambling industry, it’s quite evident that many operators are always looking for ways to remain at the top of their game. Needless to say it goes beyond ensuring regulatory compliance, reputability and licensing – these are bare minimum criteria to be met.
Keep reading to discover how your business’s quality assurance processes can benefit from the implementation of AI technology.
Automated testing
Automated testing has completely transformed the way businesses assess their products by producing faster and more reliable results without the need for human interference. This reduces the time and resources needed for manual testing, allowing workers to be more productive in other areas.
The implementation of this technology also reduces the instances of human errors, with its ability to perform various tests and accurately identify any errors, bugs or performance issues. This can help save costs in the long run as it is always more cost-effective to fix a bug in the development phase than in the final stages of production.
Even in cases whereby an error occurs when the product is already on the market, automated testing offers instant feedback, allowing businesses to swiftly fix the identified issues without impacting customer experience or satisfaction.
Predictive Analysis
While identifying a problem is very beneficial, there is nothing quite like anticipating one. AI technology takes quality assurance one step further by combing through customer data to identify patterns and behavioral trends, allowing businesses to prevent issues before they occur. This also allows designers and developers to be at the forefront of user standards providing a superior product to the market.
This data can also be used to inform the product’s marketing strategy by revealing new opportunities to attract and retain customers. While the forecasts can undoubtedly save businesses money, recourses and time, the insights obtained provide them with invaluable information that can help with effective decision-making.
Increased Productivity
When it comes to quality assurance automation has been around for years despite only capturing the public’s interest recently when AI started to generate real economic value in 2020. Due to its application across a multitude of industries, PwC estimates that AI will generate $15.7 trillion in global GDP by 2030. This is not thanks to AI-focused companies but rather traditional industries moving into the future by adopting AI in their day-to-day processes.
While the widespread adoption of AI technology has instilled job insecurity in many it’s important to understand that its main purpose is to remove repetitive and laborious tasks from workers allowing them to shift their focus to more substantial tasks. At the end of the day, nothing beats the human brain however, businesses cannot ignore the numerous benefits AI technology provides.
The advantages of adopting technologies like RPA (robotic process automation) are undeniable, as they can alleviate businesses from various forms of data management including accounts payable and back-to-office processing. Allowing employees to focus on higher-value tasks which will increase their productivity and help reduce costs. We are even seeing a shift to automated customer service calls helping businesses to achieve high customer satisfaction rates without employing additional staff members.
