AWS Cloud Enterprise Strategy Blog

As an executive exploring generative AI’s potential for your organization, you’re likely concerned about costs. Implementing AI isn’t just about picking a model and letting it run. It’s a complex ecosystem of decisions, each affecting the final price tag. This post will guide you through optimizing costs throughout the AI life cycle, from model selection […]

For maximum generative AI impact, centralize foundations (infrastructure, data governance) but decentralize innovation across business domains. This hybrid model balances robust AI governance with agile delivery, enabling rapid prototyping aligned with strategic goals.

Dive deep into individual experiences beyond data metrics to uncover blindspots and build lasting trust by focusing on customer needs – a compelling case study on embracing change while preserving core values.

Leverage AWS to accelerate post-merger IT integration and cost synergies through data center/storage consolidation, database modernization, volume discounts, and simplified procurement.

With AI’s rapid evolution, boards face multi-faceted risks requiring diverse oversight, technical expertise, agile risk-mitigation, clear values guiding deployment, and robust cybersecurity – proactively managing uncertainties while capturing AI’s transformative potential.

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.