Avoiding Shadow AI: Why Strategic Planning is Key in the Era of Generative AI
In the age of cloud computing, businesses have learned valuable lessons about the importance of strategic planning to avoid costly mistakes like “shadow IT.” Now, as generative AI technologies continue to rise, it’s crucial for IT leaders to apply those lessons to steer clear of “shadow AI” – the unchecked use of AI without proper planning.
While generative AI holds great promise for economic impact, it requires meticulous strategic planning to maximize its benefits. Contrary to popular belief, relying solely on public clouds for AI may not always be the best choice. In fact, studies have shown that running AI on premises can be more cost-effective, ensuring data safety, sovereignty, and efficient management while avoiding issues like data gravity and costly reconfigurations.
Why Cloud Isn’t Always the Answer for AI
The rapid growth of cloud computing has transformed the way businesses operate, providing unparalleled access to computing resources and driving digital transformation. However, this rapid adoption has also led to challenges such as escalating costs, security vulnerabilities, and governance issues – all reminiscent of the pitfalls of shadow IT.