Tag: Data-Driven Culture

For the third consecutive year, HBR Analytics Services has researched contemporary data use, focusing on its applicability to generative AI. The report—“Scaling Generative AI for Value: Data Leader Agenda for 2025”—spans multiple industries and companies globally. It’s time as conversations have noticeably pivoted from abstract use cases and generative AI pilots to a desire to […]

The Data Hoarding Trap Many organizations are guided by the adage “Knowledge is power.” Teams closely guard their data to maintain an internal competitive edge. But what if this mentality is holding your company back? Imagine your marketing team has gathered valuable data on customer preferences but fails to share that information with your product […]

The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]

Balance security with innovation – seamlessly integrate compliance controls behind intuitive self-service capabilities to empower data-driven productivity and agility.

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

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.

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.

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 […]

Happy holidays to everyone! During this time, I like to look back on the year in AWS Enterprise Strategy Blog posts to see what themes have emerged. This blog addresses the concerns and challenges voiced by executives during the Enterprise Strategy team’s approximately 1,500 annual meetings with AWS customers. Reflecting on these important topics reveals […]