According to Gartner, 80% of D&A governance projects will fail by 2027 because a genuine crisis has not been created. Linking AI models to suitable, real-time data is challenging for nearly 70% of organizations. Furthermore, approximately 65% of developers spend too much time developing distinctive connectors for every data source. These problems prevent innovation and reduce the value of AI systems.
According to Gartner, 80% of D&A governance projects will fail by 2027 because a genuine crisis has not been created. Linking AI models to suitable, real-time data is challenging for nearly 70% of organizations. Furthermore, approximately 65% of developers spend too much time developing distinctive connectors for every data source. These problems prevent innovation and reduce the value of AI systems.
According to Gartner, the improper use of generative AI (GenAI) across borders will cause more than 40% of AI-related data breaches by 2027. Experts warn that the frequency and sophistication of criminal activity are rising significantly due to criminals’ quick adoption of AI tools to automate scams, produce convincing deepfakes, and perform extensive cyberattacks.
According to Gartner, by 2025, over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021. This change highlights the growing importance of cloud-native environments in meeting the increasing reliance on these platforms to drive scalability, flexibility, and resilience in their AI-driven applications.
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