As Artificial Intelligence (AI) and Machine Learning (ML) become more and more prevalent, companies must take steps to guarantee that their data is not mishandled. It is essential that only the data necessary for AI and ML algorithms is collected, and that it is kept secure and only for as long as it is needed. A recent study revealed that more than 40% of employers around the world use some form of AI process, including to monitor employee activities. AI has the potential to make remarkable advances in fields such as medicine, education, and environmental health.
Around 86% of healthcare provider organizations and technology providers use AI technology in their work. AI and ML algorithms are particularly useful in medical diagnosis, as they can help detect patterns in symptoms, diagnose illnesses, and measure the effectiveness of treatments. AI can also be used to detect abnormal usage patterns and risky behaviors. IT researchers are already using algorithms to learn and predict new malicious programs.
Data management is the most common application of AI and digital automation. The European Union's proposed AI regulation, published on April 21st, is a direct challenge to the idea that emerging technology should be left unregulated. The use of AI, ML, and Robotic Process Automation (RPA) has grown exponentially in recent years. Explainable Artificial Intelligence (XAI) is a set of processes and methods that allow human users to understand and trust the results created by machine learning algorithms. XAI is a key element in future technological advances and online security.
When selecting the right products for the digital workforce, a knowledgeable leader who understands data privacy concerns and the benefits of AI technology is essential.
