Download the Gartner® Report |A Journey Guide to Delivering AI Success Through ‘AI-Ready’ Data

The 2023 Gartner AI in the Enterprise Survey revealed that AI/ML is one of the top three technologies discussed at the boardroom level for close to 50% of all surveyed organizations. According to the same survey, organizations that have AI-ready data are seeing greater business outcomes than those that don’t. Further, lack of data is one of the top three barriers to implementing AI techniques for close to 40% of respondents to the 2023 Gartner AI in the Enterprise Survey.

For AI to unlock its full potential, organizations must prioritize data quality to ensure reliable, actionable results that drive growth and innovation. Clean, accurate, and relevant data fuels AI models, enabling them to make precise predictions and drive effective decision-making. Without quality data, AI systems risk generating flawed insights, which can lead to poor outcomes and missed opportunities. 

As organizations embark on their AI or GenAI journey, how do they know if their data can be used for their AI use cases? To prove data is AI-ready, D&A and AI teams need to quickly iterate and converge to identify data that is fit for use along the full development and operationalization of the AI use case. This is where Gartner® report titled “A Journey Guide to Delivering AI Success Through ‘AI-Ready’ Data” proves to be a valuable asset guiding D&A leaders with modern data management technologies and practices to drive successful AI initiatives.