The COVID-19 pandemic has brought about significant changes to the way we work, learn, and live. One of the most notable changes has been the acceleration of digital transformation, with businesses and organizations relying more heavily on technology to adapt to the new normal. As we continue to navigate this new era, it's essential to stay informed about the latest trends and technologies shaping the work’s future. In this article, we will explore five such trends and technologies that are gaining traction in the tech industry, including fastest cloud engineering, super apps, robotic process automation, software testing tools, and sustainable technology. We will examine each trend in detail, discussing its potential impact on the industry and providing insights into how professionals can stay ahead of the curve. So, let's dive in and explore the future of work in the digital age.
Cloud computing has been growing exponentially, with the COVID-19 pandemic and the digital transformation process accelerating its growth. It allows businesses to be present on the internet, enabling them to expand their growth logarithmically. Cloud services are no longer limited to application hosting, but also include platforms, integrations, and desktop services. This has impacted almost every domain, including education, medical, retail, e-commerce, insurance, banking, and ERP. Cloud engineering has four main verticals that get impacted: infrastructure and environment, transactional data, co-creation, and integration. Cloud computing has revolutionized the infrastructure and environment of testing, reducing the need for long-living test environments and dependence on operations teams. It has also impacted the way transactional data is handled, with increased focus on security. Co-creation and integration have also been impacted by cloud computing, as businesses can now easily bundle and package services and pay as per their consumption. The impact of cloud computing is still in its infancy, and its growth will change the developmental and testing practices, necessitating a change in the required skill set in the market.
Sowmya in her webinar also discusses the emergence of "super apps," which provide multiple services in one application to avoid users having to switch between different apps. Super apps are currently mostly driven by convenience seekers, particularly younger generations, and are growing rapidly in countries such as India, Korea, Singapore, and China. The rise of super apps will likely increase the demand for mobile app testing, which will require test engineers to invest time in learning about mobile applications and testing. Front-end testing will also evolve with super apps, and data security will become a crucial aspect of scrum testing activities.
Robotic Process Automation (RPA) is an automation process that involves the use of machines to perform end-to-end processes without human intervention. RPA is not application automation and should not be confused with test automation tools like ACCELQ and Selenium. RPA eliminates the need for data collection teams, data governance teams, and communication teams, as the entire process is automated. The use of RPA has an impact on interoperability, data security, and the rise of low code no code tools. RPA is expanding from its traditional use in ERP, oil and gas, and construction to healthcare, banking, sales, marketing, and content generation.
Watch the recording to gain in-depth insights on each tech trend.
The fourth trend is the increasing application of artificial intelligence (AI) in service operation optimizations and the creation of new AI-based products. Managed service companies, such as PCS Infosys, CTS, and Accenture, are incorporating AI into their services to provide more personalized services to their partners. On the other hand, the creation of new AI-based products will impact people on a day-to-day basis. These products include test automation tools with more AI-infused self-learning code refactoring and self-healing capabilities. One such AI-Powered Test Automation platform leader is ACCELQ. [GU4] Continuous learning through deep learning and machine learning concepts enables these products to work and learn. The growth of low-code no-code tools is also expected to accelerate in the market due to the infusion of AI. AI-based tools can provide auto recommendations and code refactoring suggestions, making it easier for managers to upskill their teams. Self-healing is another benefit of AI, which helps deal with UI changes and DOM scraping. AI-infused automation tools can help testers on a day-to-day basis with recommendations and self-healing capabilities.
Sustainable technology is seen as the next big thing as there is a lot of research happening in this area on efficient programming languages, database operations, and other factors that can reduce energy consumption and CO2 emissions. The excessive use of the internet has led to crowded servers, physical waste, and increased energy consumption. Therefore, the sustainable technology movement is seen as a game-changer as it aims to make technology energy-efficient and reduce e-waste. Many startups are coming up with various initiatives and services to promote sustainable technology. The impact of sustainable technology may not be apparent right away, but it is something that professionals in the industry need to track and learn as it may impact their work in the future.
The impact of the Top 5 2023 Tech Trends namely: Cloud computing, Super apps, Robotic Process Automation (RPA), Artificial Intelligence (AI), and Sustainable Technology, on the industry is significant. Professionals need to upskill themselves with the latest trends and technologies, as the growth of these trends will change the developmental and testing practices, necessitating a change in the required skill set in the market. Therefore, being prepared and staying relevant is crucial for professionals to thrive in the digital age.
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Highlights from ACCELQ's Webinar on the Top 5 Tech Trends
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One such AI-Powered Test Automation platform leader is ACCELQ.
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