What is AI-ready data?

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This is a podcast episode titled, What is AI-ready data?. The summary for this episode is: <p>This episode of Techsplainers explores the concept of AI-ready data - high-quality, accessible, and trusted information that organizations need for successful artificial intelligence initiatives. We examine why only 29% of technology leaders believe their data meets AI readiness standards and break down the four essential characteristics that make data truly AI-ready: being unified and accessible, properly governed, secure, and supported by the right skills and infrastructure. The discussion highlights common barriers to AI readiness including data fragmentation, quality issues, skills gaps, and security risks, while explaining how organizations are failing to utilize their valuable unstructured data - with less than 1% of enterprise data currently leveraged in traditional large language models. Through practical examples and industry insights, this episode provides a roadmap for transforming raw data into a strategic asset that can power trusted, reliable AI applications across the enterprise.&nbsp;</p><p><br></p><p><strong>Find more information at </strong>https://www.ibm.com/think/topics/ai-ready-data&nbsp;</p><p><br></p><p><strong>Find more episodes at</strong> https://www.ibm.biz/techsplainers-podcast&nbsp;</p><p><br></p><p><strong>Narrated by Amanda Downie</strong></p>

DESCRIPTION

This episode of Techsplainers explores the concept of AI-ready data - high-quality, accessible, and trusted information that organizations need for successful artificial intelligence initiatives. We examine why only 29% of technology leaders believe their data meets AI readiness standards and break down the four essential characteristics that make data truly AI-ready: being unified and accessible, properly governed, secure, and supported by the right skills and infrastructure. The discussion highlights common barriers to AI readiness including data fragmentation, quality issues, skills gaps, and security risks, while explaining how organizations are failing to utilize their valuable unstructured data - with less than 1% of enterprise data currently leveraged in traditional large language models. Through practical examples and industry insights, this episode provides a roadmap for transforming raw data into a strategic asset that can power trusted, reliable AI applications across the enterprise. 


Find more information at https://www.ibm.com/think/topics/ai-ready-data 


Find more episodes at https://www.ibm.biz/techsplainers-podcast 


Narrated by Amanda Downie