With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack.
But getting to that data, and using it effectively and securely, is often easier said than done. Real challenges and complications can arise with respect to managing data flows across the enterprise. The potential risks that come with moving data into the cloud when it had spent its entire life on highly secure, on-premise systems can open an organization up to new, previously unknown vulnerabilities.
