Data annotation might sound technical, but it’s the secret sauce behind successful AI-driven marketing strategies. In this article, we’ll dig into how it supercharges AI marketing and share how it can help your business. Data annotation is about labelling data so AI can learn from it and make better decisions. It’s like training a pet to respond
AI is a fresh threat to recent grads and job applicants, as many fear they have wasted years of study for technology to replace them. What should companies do to acquire valuable talent in the age of advancing AI? Understanding the Modern Workforce’s Feelings About AI Those entering the workforce with AI have mixed feelings about its
Precision and the reduction of human error are some of AI and robotics’ most valuable advantages. While these benefits are important in many use cases, few are as crucial as the medical sector. It should be no surprise that AI-guided robots are showing potential to revolutionize the operating room. The medical industry faces higher standards than most,
Nondestructive Testing (NDT) has long been a crucial aspect of quality assurance in structures and materials across various industries. Traditionally, NDT relied heavily on manual inspection techniques and human expertise, but the process has undergone a transformative evolution with the advent of AI and machine learning (ML). These advancements have ushered in a paradigm shift in the
Content marketers increasingly use artificial intelligence (AI) tools. What are some of the biggest cybersecurity risks of this approach and how can you manage them? Data Leaks “A December 2023 study found 31% of people who use generative AI tools had put sensitive information into them. Such behaviours could compromise clients’ data, making it more difficult to
