Welcome to the latest edition of RiskTech Insights—your ultimate source for staying informed about the newest developments and approaches in risk and insurance technology! In this edition we explore two subjects that are influencing the industry landscape—robotic process automation (RPA) and the decision-making process between opting for best of breed solutions or a single vendor approach. These informative blog posts offer guidance to assist you in making choices that will positively impact your organizations risk technology outcomes.
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In today’s fast-evolving digital world organizations are looking for technologies that improve operational efficiency, reduce costs, and enhance productivity. Robotic Process Automation (RPA) has emerged as one of the most valuable tools for achieving these goals, especially when it comes to handling repetitive tasks that follow set rules. AI has attracted a lot of excitement for its capabilities however RPA is often seen as the more practical solution, in many situations. In this article, we’re going to delve into the advantages of RPA and examine why, in some cases, it might be a better fit than AI for specific business needs.
Today more than ever businesses must address increasingly complex risks that can impact their operations and bottom line. Many are turning to artificial intelligence (AI) to help them. AI can empower companies to identify, assess, and mitigate risks in real-time, but to effectively harness this tool, your system must have the right data first. Here are eight ways to use AI in your risk management strategy.
