The fourth Industrial Revolution is upon us, and it is spearheaded by technologies like hyperautomation, that combine the best of tech like AI and RPA. Bill Gates has rightly quoted on the topic, ”The first rule of any technology used in a business is that automation applied to an efficient
Data is all around us. What began as a byproduct of globalized technology and the rise of computer technologies has become a valuable asset for organizations. By the year 2025, about 450 exabytes of data will be generated every day worldwide – that’s an unimaginably large amount of data that
Imagine your business operations as an assembly line, where tasks and processes move from one station to the next. In a traditional setup, each station has a specific function, and human workers oversee these tasks. Now, picture Hyperautomation as a supercharged version of this assembly line. Instead of just human
“Rather than wringing our hands about robots taking over the world, smart organizations will embrace strategic automation use cases,” Clara Shih’s quote accurately describes the impact of AI RPA in the world of automation. Artificial Intelligence (AI) and Robotic Process Automation (RPA) are no longer the future; they are the
In the heart of the digital revolution, businesses are grappling with a relentless tide of repetitive, mundane tasks that consume valuable time and resources—one repetitive task after the other. The struggle is real, and the question echoes in the corridors of every organization – is there a way out of
Picture this: It’s the late 1990s, and a bank employee is painstakingly entering customer data into a system, one field at a time. The process is slow, error-prone, and monotonous. Fast forward to today, and the same task is performed by a software robot in a fraction of the time,
In this era of data-driven innovation, data pipelines have become an indispensable tool for forward-thinking companies. Their importance cannot be overstated. However, traditional data pipelines have been gradually replaced with the latest advancements in data pipelines automation. The reason? As data pipelines get more complex, there is a significant increase
According to a report by the Commonwealth Fund, the US spent 17.8 percent of its gross domestic product (GDP) on health care in 2021. That is almost twice as much as the average OECD country (9.4 percent). Yet according to the World Health Organization, the US ranks 37th out of
DataOps Automation has come a long way. What started out as an effective methodology for data management has now become a much sought-out tool that companies are using to solve their data problems increasingly. This is where automation meets data pipelines. Organizations have long used data pipelines to turn raw
In today’s data-driven world, businesses of all sizes generate and collect vast amounts of data. However, manual data processing and analysis can be a time-consuming and costly process that is prone to errors. Data automation solutions can solve this problem. By using technology to automate data-related tasks, businesses can streamline
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