Report
AI-Ready Data in Seven Steps
AI innovation begins with data readiness. By following a seven-step approach, organizations can overcome challenges like limited data quality, access, and processing to turn their proprietary data into a catalyst for productivity, insights, and AI automation.
This comprehensive report lays out a clear roadmap for organizations to make their data AI-ready, from understanding their goals to implementing scalable data processing and change management.
What you’ll get
Market Insight
84% of organizations with generative AI in production or the PoC stage agreed that it is important to incorporate their own enterprise data to support generative AI. This comprehensive report lays out a clear roadmap for organizations to make their data AI-ready, from understanding their goals to implementing scalable data processing and change management.
The Right Approach
Start small and move quickly to drive impactful results. Seven key steps to prepare your data for AI success, from defining clear goals to ensuring scalable processing and effective governance.
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What you’ll get
A thorough review of your existing AWS infrastructure
A tailored report outlining key problem areas
Strategic recommendations for remediation
3-step process
“Their modernization assessment was very comprehensive and well-designed. It showed us that overall we made the right design decisions, but did offer quality suggestions for places we can improve.”
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