Data and analytics leaders have the power to accelerate enterprise digital transformation and improve significantly user experience through innovative next-gen technologies. However QA and software testing is still vital for ensuring the tri-factor benefit of speed, value, and quality.

AI plays a pivotal role in a range of business activities including interaction with the end users. New technologies like Big Data, Smart devices, IoT and Robotics are relevant for businesses only if they get entirely adopted with confidence. In that sense, Quality Assurance and Software Testing can deliver business value by helping organizations adopt these technologies.

Before implementing any AI initiatives, organizations need to evaluate how Agile development and DevOps can help them achieve their business goals and succeed with their digital transformation efforts.

Automated Testing

AI proves every day that is highly capable to replace the human factor across diverse industries and perform their tasks successfully. For instance, a huge amount of data sets can be stored in a computer which will automatically add logic and patterns to come up with relevant inferences. In that case QA and testing teams are required only for ensuring a valid connection between similar input and output pairs. Automation testing ensures that the results delivered meet the business requirements but the overall performance depends also on the input of the right data.

Big Data Testing

Decision intelligence, including decision modeling, is on the rise. Gartner shows that by 2023, more than 33% of large organizations will have analysts practicing decision intelligence. That means data and analytics leaders will design, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behavior easier thanks to the more defined and helpful framework developed by decision management and decision support. Big Data is the core of technology movement whether it is robotics, machine learning, smart devices, or Internet of Things (IoT). With successful big data testing you ensure that the data derived from diverse data sets bring business value and profitability in the long run by offering real-time user experience feedback. Moreover, ensure data completeness, enable data transformation, confirm quality of data and automate analytical activities.

Robotic Process Automation (RPA)

Robotic process automation (RPA) is implemented to facilitate human work by automating tasks like processing a transaction, working on the data, prompting responses or computing other software systems. Performance and functionality can be ensured only when the expected results are tested under varying conditions.

IoT is expanding

IoT capabilities help industries innovate and offer new experiences to their customers. The power of IoT depends on how effectively the data is exchanged and applied in real environment under varying pressures and conditions. So, in order the IoT systems to be functional need to be tested for security, performance and level of availability across the consumer lifecycle, hence more and more testing is required. Businesses are becoming dependable on IoT devices to deliver optimal customer experience.

5G

Customer expectations for new digital services are already increasing at a rapid pace, placing 5G among the biggest rising digital transformation trends for 2022. The mass adoption of 5G that had organization start evaluating the potential of 5G was mainly caused by the remote lifestyle first introduced during covid pandemic that highlighted the need for a robust, continuous, and reliable network. However, innovation will not start a stop with a great idea. Software testing became critical for ensuring a seamless implementation of 5G. With more and more sectors aiming to scale the quality of experience for 5G services, organizations define their strategy and approach exploring the different facets of 5G.

Conclusion

Businesses have to continuously experiment and innovate in order to accelerate their market dynamic and keep pace with fast growing end user needs. With the adoption of new smart technologies, customer expectations are going to be magnified further. Technologies, like QA and testing, which are well-tested under various conditions, can make this plan work.