The unified AI data platform

The path to effective AI runs straight through your own data. The trouble is, you’re missing a unified platform approach that’s saving enterprises like yours up to 58% compared to on-premises PostgreSQL databases. For the roadmap to unify your data, improve efficiency, and boost performance-per-dollar, read the new eBook from Coretek, Microsoft, and AMD. You’ll learn how a single approach to AI data can help you: • Lower operational costs by unifying fragmented systems. • Boost CPU performance by up to 35% with AMD-powered processing. • Slash AI implementation time while also reducing risk. • Reduce administrative costs by 86% with Azure Database for PostgreSQL. Unlock the AI capabilities you want faster with a united approach to more data power.

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Is there an approved budget for data platform modernization or AI-related initiatives in the next 1 - 2 quarters?

Do you currently have a cloud strategy aligned to Azure for this initiative?

Who owns the final decision for your data platform strategy?

Is your database platform already standardized across the organization?

Where are your AI or analytics initiatives currently getting stuck?

What types of data are most critical to your AI or analytics workloads?

What is the primary reason you're considering PostgreSQL or open-source databases?

Is there a specific event driving your timeline?

I would like to receive information from suppliers sponsoring this content and willing to share the information above with Coretek.

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