![]() ![]() ![]() First, the neural networks and ML would write the code to develop new software or second graphical interfaces for programming. We are well and truly in the direction of low-code or no-code programming. Organizations adopting such a paradigm, as compared to the cloud, would also be better equipped to serve remote consumers and employees, due to whom sectors of hybrid workplaces and virtual services are expanding. All of which contribute to more savings and increased profits. In the coming times of hyper-automation and connected everything, Edge Computing would provide an effective means to reduce the amount of data being transmitted, however with efficient results.įor organizations, the significant advantages of adopting Edge computing over the cloud would mean increased privacy control and reliability, on the one hand, whereas lower bandwidth, latency, and security concerns on the other. There are several advantages of decentralized computing, from data security and privacy to lower power and bandwidth requirements to enabling near real-time processing and decision making. It has opened new horizons for computing at the edge and hybrid-cloud or multi-cloud infrastructure as a part of distributed computing. The processing power of microchips and the use of the industrial internet is on the rise, whereas their size is shrinking by the day. Technically within this section, we predict two tech trends, Edge Computing and Distributed Computing, which are pretty distinct yet related to each other and will move closer to each other in the coming years. Edge Computing – A distributed computing paradigm Concepts such as Real-world AI, Generative AI, and Edge Computing are among the top forecasted trends in the coming years. Healthcare – diagnosis and predictions, transportation and logistics, industrial automation, cybersecurity, public governance, etc., are witnessing rapid growth in AI and ML applications. Machine vision, language processing, speech and gesture recognition, pattern recognition, real-time AI, Embedded AI or ML, AIOps, MLOps, and so on will increase in the next ten years. AI and ML would have a significant role to play in this. Due to this, consumers would expect businesses to cater to their needs, especially for customer experience and grievances on an increasingly swifter basis. ![]() It is estimated that over 50% of human interaction with computers will be through AI-generated speech in the next two years. Still, in the relatively early days of development, AI and ML would find more and more sophisticated applications as the technology progresses. The combined global market size of AI and ML, which stands at approximately USD 408.62 billion, is expected to grow to about USD 1.604 trillion by 2029. For organizations, the importance of this tech trend is set to grow at an unprecedented pace. Artificial Intelligence and Machine Learning – The buzz continuesįrom datafication, moving on to the buzz words at the top of the list for businesses today, Artificial Intelligence (AI) and Machine Learning (ML). The concepts such as Data Fabric would prominently enable seamless integration of data sources for access and processing. Companies that take a deep dive into an efficient collection of quality consumer data and emerging tech such as ubiquitous computing would not only add value to their services for consumers but could also create new revenue sources. This tech trend also refers to how technology can integrate the human experience or habits to offer customers cognitive or physical improvements. The human-generated data, along with the machine-generated data (through the Internet of Things and other similar sources), can be used by organizations to provide services and products to serve their customers better. Making sense of this enormous amount of data and determining its value through analytics and big data techniques had come to be known as the Internet of Behaviors (IoB) since 2012 – when Gote Nyman coined this term. Data, the new, is a critical enabler that fuels most tech trends, even though some believe it is taking humanity in a direction where billions are earned through billions of wasted man-hours. The sheer volume of data generated globally reached beyond 79 zettabytes in 2021 and is projected to reach 181 zettabytes over the next five years. ![]()
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