AI Doesn’t Fail; Your Data Does: The Urgency of Data Readiness

AI Doesn’t Fail; Your Data Does: The Urgency of Data Readiness

In a Gartner survey of data management leaders, 63% said that they either do not have or are unsure if their organizations have the right data management practices for AI. One consequence, according to the survey, is that by next year organizations will abandon an estimated 60% of AI projects unsupported by AI-ready data. What constitutes “AI-ready” data is open to interpretation, but it’s a safe bet that many of the projects doomed to fail will…

Open Innovation in AI: A Path Forward for Europe?

It’s clear that Europe, and not just France, is lagging behind in the artificial intelligence race. The USA and China largely dominate this field, while players like Mistral, although promising for specialists, are struggling to gain purchase with the …

Data readiness issues lead to half of enterprise AI projects failing

Nearly half of enterprise AI projects fail due to poor data readiness, with UK lagging behind in integration and infrastructure, reveals Fivetran research.

A Fivetran study shows that the lack of centralisation of data or the lack of real-time access for AI models delays or weakens artificial intelligence projects.Regulatory compliance is another major challenge.In addition to the financial impact of the failure of an AI project, the impact on customer experience also has an indirect cost for [...] The post Almost half of AI projects are aborted due to poor data preparation appeared first on IT SOC…