By Pratheek | 11/23/2021
The digital transition will accelerate in 2022. Cutting-edge technology trends are enabling businesses to move faster; these will push the method and delivery of services. Here’s looking at the digital transformation trends that will drive significant changes globally and possibly reshape business platforms to newer heights.
When it comes to data analytics, three main factors make ML and AI great force multipliers: the speed with which AI can process vast amounts of complex data, the way ML can automate many of the tasks involved in the process; and the fact that AI and ML improve with each iteration. The fintech sector and health sector are expected to overtly run on AI adoption. Generative AI can be used in a variety of tasks, including developing software code, assisting with drug development, and target marketing. Gartner predicts generative AI will account for 10% of all data produced by 2025, up from less than 1% currently. The demand for AI engineers grows when the technology gets advanced. AI engineering is a discipline focusing on the governance and life-cycle management of a wide range of operationalized AI and decision models, such as machine learning and knowledge graphs, as the use of AI grows.
While 5G installations in the sub-6GHz bands have been on schedule the world over, more complicated 5G millimeter wave deployments have a lot of room for expansion. 5G is much more than just higher download, upload, and streaming speeds; its diverse use will be a reality and pull up other technologies. 5G also has low latency that allows for dense deployments and generally improves cellular technology. Incorporating the Internet of Things (IoT) and cloud-based systems into your workflow will be easier and less expensive. To offer the finest client experiences, industries such as manufacturing, healthtech, edtech, telecom, entertainment, and transportation will base operations around 5G-tech and connectivity.
Hyperautomation will boost productivity, accelerate time to market, and enhance employee and customer satisfaction. In 2022, hyper-automation will combine technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) to process data in more impactful ways, enhancing the quality and overall productivity. It will also provide real-time, continuous intelligence, as well as increased analytics, to improve operations and procedures even more. According to Gartner, the majority of hyper-automation programs currently undertaken will be mature by 2024. Organizations will be able to cut operating costs by a healthy 30% with hyper-automation and process re-design.
