The Role of AI in Modern Enterprises

As AI has become increasingly integral to modern enterprises, the need for robust governance and management of AI has grown. Many organizations use machine learning (ML), deep learning (DL), and generative AI to streamline operations through automation, improve decision making, and enhance customer and user experience. Whether automating user or customer service processes or generating predictive analytics, AI systems offer new opportunities for efficiency and innovation.

However, deploying AI also presents unique challenges that demand careful governance. Unlike traditional IT systems, AI introduces ethical concerns around bias, fairness, and transparency, which must be managed across multiple jurisdictions and industries. As AI rapidly advances, the pace of innovation often surpasses the ability to fully anticipate its impacts and implications, leaving AI systems vulnerable to threats like manipulation, data poisoning, cyberattacks, and security breaches.

Unlike traditional IT systems, AI introduces ethical concerns around bias, fairness, and transparency, which must be managed across multiple jurisdictions and industries. As AI rapidly advances, the pace of innovation often surpasses the ability to fully anticipate its impacts and implications, leaving AI systems vulnerable to threats like manipulation, data poisoning, cyberattacks, and security breaches.