AWS Executive in Residence Blog

Automate tedious tasks, gain faster insights through conversational analytics, and innovate using synthetic data – accelerating time-to-value from data assets.

The capacity to learn is a gift; the ability to learn is a skill; the willingness to learn is a choice. —Brian Herbert, Author When I was 10, my parents bought me a Sinclair ZX81. The slim plastic-encased computer had a stick-on keyboard and a precariously attached memory pack. Programs were saved on cassette tapes. […]

Maximize AI’s value without breaking the bank – this guide explores cost-optimization strategies across the AI lifecycle, from model selection and data management to FinOps practices.

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 […]