There is a rapid pace of technological advancement and this is the fastest pace of its kind. The world will be quite different in thirty years due to the wave of innovations that will begin in the future. These innovations will disrupt industries and transform every aspect of human life, not to mention the way the global economy is structured. In many ways, these innovations are essential to solving some of the challenges we face today.
The only thing 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 the dimensional and scale-up, flexible and intelligent possibilities of new technologies to the next level.
Cloud computing, as the backbone of businesses and societies, will grow and reach its maturity by 2030. Industry insiders claim that the global cloud computing market will surpass $1 trillion with the increasing adoption of both hybrid and multi-cloud systems. Businesses will adapt cloud-native designs to provide the ability to scale up and down rapidly according to demand, providing everything from analytics to virtual reality.
Additionally, with the advent of a new paradigm called edge computing, which means most compute demands are met where the data is generated, cloud platforms will find a complementary partner. When simplified, edge computing will enable industries including automotive, healthcare, and smart cities to officially perform.
Another way in which changes in behavior will drive 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, enhancing the ability of many organizations to innovate and respond to market opportunities. A report from MarketsandMarkets shows that the DevOps market is expected to grow from $10.4 billion in 2023 to $25 billion in 2030.
This growth will be the result of the increased use of agile methodology as a way of operating within organizations. This is especially the case as DevOps focuses significantly on collaboration and automation which will turn it into a key concept of digital business transformation that shortens development cycles as well as the quality of final products regardless of the industry. Improves.
Currently, the adoption of AI is beginning in various industries and will become very evident by the year 2030. From predictive analytics to self-driving entities, learning features will transform the operating models of enterprises. According to PwC, AI will generate up to $15.7 trillion in the global economy by 2030 with increased advances in NLP, CV and generative AI.
Perhaps that is why one of the most obvious and promising areas for AI is the field of healthcare. Predictive diagnostics, smart health and smart treatments will transform patient practice to allow more accurate diagnosis of diseases using artificial intelligence. In the manufacturing sector, AI technology of predictive maintenance will cut down on work inactivity time while in the financial sector, AI is going to improve the ability to spot fraud and risk challenges.
The integration of artificial intelligence with machine intelligence and robotics will be a key driver of the future of work. At this point, robotic process automation and intelligent bots will be part of industries as a means of manufacturing growth. According to Deloitte, intelligent automation will bring $4.2 trillion in value to the global economy by 2030, as businesses look to cut waste by automating processes.
One of the key trends that will be highlighted next is hyper automation – a strategy in which various advanced automation tools design and integrate entire processes. However, it will also improve productivity and efficiency, as well as provide an opportunity to extend the work performed by human workers to other creative tasks.
Cloud, DevOps, AI, as well as intelligent automation will all create synergy that will drive transformational innovation. For example, cloud-native AI platforms that will provide the means for AI projects within organizations allow organizations to seamlessly scale their AI projects while employing DevOps to maintain the performance of these platforms as a continuous delivery system. Will allow for expansion. Notably, intelligent automation enabled by AI will also run on cloud infrastructure to process large amounts of data in real time.
As all these innovations connect, companies will see unprecedented levels of efficiency, sophistication, and health-benefiting capabilities. These are exciting, but the opportunities are countless: from renewable energy to smart supply chains running on clouds to AI-powered analytics.
Looking towards the year 2030 and beyond, the technology profile for businesses will be more vibrant, prosperous and host to dramatic changes. This transformation will be enabled by innovations whose foundation is on cloud, DevOps, AI, and intelligent automation. They will enable organizations to thrive in a world that is constantly evolving, create more effective operations and address issues of social concern such as sustainability and diversity.
But in this era of new thinking, it is inevitable to move forward more judiciously and actively. Attention to risk and ethics, compliance, and strong governance, as well as the principle of ‘leaving no one behind’, will be key to ensuring that all of humanity benefits from these technologies.
This article is written by Hrishikesh Deshmukh, Senior Advisor, Fannie Mae.
