There is a rapid pace of technology advancement and this is the most rapid of this kind. In thirty years the world will be significantly different due to a wave of innovations that will be launched in the future. These innovations will completely transform industries and transform every aspect of human life, not to mention the way the global economy will be formed. In many ways, these innovations are necessary to solve some of the challenges we face today.
The only thing perhaps worth adding is –– these emerging innovations should be based on “Cloud, development operations (DevOps), artificial intelligence (AI), Intelligent Automation.” These four pillars are the keys that will take dimensional and scale-up, flexible, and intelligent possibilities of new technologies to the next levels.
Cloud computing, as a backbone in businesses and societies, will grow and reach its maturity by 2030. Industry insiders claim that the global cloud computing market will cross $1 trillion, with the adoption of both hybrid and multi-cloud systems. Businesses will adapt cloud-native designs to deliver the ability to quickly ramp up and down on demand, providing everything from analytics to virtual reality.
Furthermore, with the advent of a new paradigm called edge computing which implies that most of the computation demands are met where data is generated, the cloud platform shall find a complementary partner. When simplified, edge computing will enable industries including automotive, health, and smart cities to perform authoritatively.
Another way in which the changes of practise will promote innovation is through the implementation of DevOps. Automation and continuous delivery pipelines will be the order of the day in the software development cycle by 2030 in a way that many organisations’ ability to innovate and respond to market opportunities will be enhanced. A report by MarketsandMarkets shows that the DevOps market is expected to rise from $10.4 billion in 2023 to $25 billion in 2030.
This growth will be a result of the rising use of agile methodologies as a way of conducting operations within organisations. This is specifically the case because DevOps significantly focuses on cooperation and automation that will turn it into a key concept of digital business transformation that shortens the development cycles as well as improves the quality of final products regardless of the industry.
Currently, adopting AI is starting in a variety of industries and by the year 2030 it will be becoming very apparent. From predictive analysis to self-driving entities, the characteristic of learning will transform the operational models of enterprises. According to PwC, AI will generate up to $15.7 trillion in the global economy by 2030 with enhanced progress in NLP, CV, and generative AI.
Perhaps that is why one of the most apparent and promising fields for AI is the sphere of healthcare. Predictive diagnostics, smart health, and smart treatments will transform patient practise to allow for more precise diagnosis of diseases using artificial intelligence. In the manufacturing field, AI technology of predictive maintenance will cut the time of working inactivity whereas in the financial sector, AI is going to improve the capacity of faking frauds and risk challenges.
Machine intelligence and the integration of artificial intelligence with robotics will be a key driver of future work. At this point, robotic process automation and intelligent bots will be a part of industries as a means of manufacturing enhancement. Intelligent automation will bring $4.2 trillion of value to the global economy by 2030, according to Deloitte, as businesses look to cut waste by automating processes.
One of the key trends that will unfold further is Hyper Automation – a strategy in which various advanced automation tools design and integrate complete processes. It will however also improve productivity and efficiency, also providing the opportunity to extend work undertaken by human personnel to other more creative tasks.
Cloud, DevOps, AI, as well as intelligent automation all will build synergy that will lead to transformative innovation. For instance, the cloud-native AI platforms that will provide the means for AI projects within organisations will allow organisations to expand their AI projects seamlessly while employing DevOps to maintain the performance of these platforms as continuous delivery systems. Notably, intelligent automation fostered by AI will also run on cloud infrastructure to process big volumes of data in real time.
Companies will witness never-before-seen levels of dexterity, sophistication and recuperative ability as all these innovations interconnect. Exciting as these are, the opportunities are countless: from renewable energy calling for AI-powered analysis to smart supply chains running on clouds.
Looking forward to the year 2030 and beyond, the technology profile for businesses will be more vibrant, richer and host to dramatic changes. This transformation will be enabled by innovations that have their foundations on cloud, DevOps, AI, and intelligent automation. They will enable organisations to thrive in a world that is constantly evolving, create more effective operations and address issues of social concern for instance sustainability and diversity.
But it is indispensable to move into this age of innovative thinking more prudently and proactively. Risk and ethics, compliance, and strong governance together with a focus on the principle of ‘leaving no one behind’ will all be critical to make sure that all of humanity benefits from these technologies.
This article is authored by Hrushikesh Deshmukh, senior consultant, Fannie Mae.
