AI Success Starts Where Most Teams Fail: The Data
According to Gartner®, "while most organizations are ready to adopt AI, their data is most likely not available in the right shape, format and quality to support the required AI use case."
Gartner Research Authors, Ehtisham Zaidi and Roxane Edjlali have put together a report outlining how to successfully achieve AI centering on your data.
This report can help you to:
- Understand what it means to get data “AI-ready”
- Find out the critical steps to get your data “AI-ready”
- Discover the top 5 investment trends in the next 2-3 years
- Start your organization’s journey to “AI-ready data”
Complete the form and download your complimentary copy of
the Gartner® Research Report today.
Download the Gartner Report
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“Through 2026, organizations that don’t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned”
- Gartner, "A Journey Guide to Delivering AI Success Through ‘AI-Ready’ Data"
Ehtisham Zaidi, Roxane Edjlali, 18 October 2024
Ehtisham Zaidi, Roxane Edjlali, 18 October 2024
Disclaimer: GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Why We Think You Should Download
- Learn how to successfully protect your AI investments - AI-ready data is not something you can build once and be done, nor can you prepare AI readiness ahead of time for all your data.
- Break down the barrier to AI Initiatives – While most organizations are ready to adopt AI, their data is most likely not available in the right shape, format and quality to support the required AI use case.
- Avoid Revenue Erosion - Find out why data architectures and data management tools that provide seamless data integration matter.
- Gain insights - Meet SLAs and make sure your AI initiatives are not abandoned.
Why InterSystems
InterSystems provides a robust data management platform that supports structured, unstructured, and multi-modal data. Our platform is already ready for healthcare data sources including:
- EHR systems
- Smart medical devices
- Hospital scheduling and billing systems
- Public health databases
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