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
Data automation is changing the insurance industry for the better. A study by McKinsey predicts up to 30% of the underwriting roles could be automated by 2030. The benefits of data automation are enabling insurance companies to turn to automated Business Intelligence (BI) tools to boost efficiency. Adopting these tools
Incorporated in 2015 and headquartered in Austin, Texas, Kanerika provides a superior customer experience as well as tremendous value to our customers. With over 75 years of combined experience in Software Product Development, the company is dedicated to exceeding clients’ expectations. The enthusiastic Kanerika team are passionate about dealing with
Kanerika is a leading provider of end-to-end AI, Analytics, and Automation solutions with years of implementation expertize.
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