AWS Cloud Enterprise Strategy Blog

Unlocking innovation demands aligning talent strategy with organizational aspirations; an oil company’s overlooked compensation model discouraged risk-taking, undermining its transformation goals until leadership revised employee stock rewards.

Data powers groundbreaking generative AI; curate diverse, high-quality datasets to cultivate innovation, while mitigating risks and biases.

One of the most common sources of org debt is the knee-jerk reaction. Every time something goes wrong, we immediately jump to create a constraint to prevent future mistakes. So we institute a new role, rule, or process. As a result over a decade or two, a one-step process becomes twenty steps. Or five different […]

“Productivity is being able to do things that you were never able to do before.” —anon With generative AI grabbing almost every organisation’s attention, watching how they use the technology is interesting. Today most AWS customers are focused on achieving productivity gains (e.g., making information easier to acquire and digest for customer service staff). A […]

Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.

In the evolving landscape of cloud technology, effectively managing finances is paramount to organizational success. However, while many organizations reap the benefits of cloud services, they often have blind spots that reduce financial visibility and control. This blog post examines four common blind spots that can evade even the most vigilant executives’ radars. Limited Spend […]

In my conversations with hundreds of enterprise executives worldwide, I have found that they like the idea of moving fast and innovating but find it difficult to accomplish within their corporate legacy and constraints. Innovating quickly is especially urgent in light of generative AI’s potential. But to increase innovation, you need to build a culture […]

When facing a game-changing technology like generative AI, experimenting is a great way to learn what it can do and how to use it. And indeed, we at AWS see plenty of companies doing precisely that, becoming more sophisticated and able to ask more informed questions about where the technology is heading and what it […]

The worldwide public cloud market is poised for substantial growth in upcoming years, with “end-user spending projected to reach $679 billion in 2024.[1]” . This surge is fueled by enterprises’ ongoing migration of existing workloads, the development of new cloud-native applications, and the emergence of innovative use cases like generative AI. At AWS, our Cloud […]

For more than a decade, organizations have embraced data lakes to overcome the technical limitations of data warehouses and evolve into more data-centric entities. While many organizations have used data lakes to explore new data use cases and improve their data-driven approaches, others have found the promised benefits hard to achieve. As a result, the […]