Financial institutions have long been wary of adopting new technologies. Banks took decades to shift banking infrastructure and payments online, and even then, they encountered various challenges with security and efficiency for years to come. With technologies like hyperautomation (a blend of AI and automation) now revamping entire industries such
If you want to improve your business processes, you may have encountered the terms Robotic Process Automation (RPA) and Intelligent Automation (IA). While they may sound similar, there are critical differences regarding RPA vs IA. RPA technology uses software robots to automate repetitive, rules-based tasks. These robots operate continuously without
In the fast-paced world of business and technology, automation tools have become indispensable. These tools allow for the streamlining of workflows, the scaling of operations, and the freeing of valuable human resources for more complex tasks. The question, however, is which process automation tool is right for your organization? In
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
“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
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,
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
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When Swedish fintech Klarna replaced 700 customer‑service roles with AI in 2022, it aimed to improve efficiency and cut costs. But within two years, the company reversed course and rehired staff, acknowledging that their customer service AI agents fell short in handling complex questions and preserving service quality. This real-life example highlight
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