Tag:machine learning
The RegTech Revolution: Automating Compliance in a Complex Regulatory Landscape
In today’s rapidly evolving digital landscape, organizations face an ever-expanding array of regulations and compliance requirements. To navigate this complex environment, many businesses are turning to Regulatory Technology, or RegTech, to automate compliance processes. While automation promises increased efficiency and reduced costs, it also raises concerns about added complexities and potential risks. Is relying on technology to handle compliance a prudent strategy, or would this add layers to an already tangled web?
Emerging Risks Associated with AI and Machine Learning
Today the healthcare industry is being transformed using the latest technology to meet the challenges it is facing in the 21st century. Technology helps healthcare organizations meet growing demands and deliver better patient care by operating more efficiently. As the world population continues to grow and age, artificial intelligence (AI) and machine learning will offer new and better ways to identify the disease and improve patient care.
Artificial Intelligence and Compliance
With the rise of the machine at our doorsteps, companies (those with foresight, anyhow) will be finding more innovative ways to gain the edge while using those machines. One of the ways companies will seek this edge is through the use of Artificial Intelligence (“AI”). AI is one of the hottest, and arguably controversial, topics confronting mainstream business today. Many are skeptical of it, but also hopeful, despite the controversy surrounding the field. While both sides of the controversy have their reasons, some on each side are generally clueless as to how AI is manifesting itself today, and how it will in the future. How will it be applied? What is it useful for? What follows is a primer on current applications of AI and how they may be applied to the compliance world.