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Connectivity cloud position paper 2025
Excerpt
Digital failure is a widespread issue. The Boston Consulting Group found that 70% of technology projects are late, over budget, and/or do not deliver on their original scope. More specifically, McKinsey found that 75% of cloud migrations run over budget. And on the AI front, Gartner predicts that at least 30% of generative AI … application onboarding. On the latter point, 48% of IT and security leaders say they are struggling to support evolving user types and a growing number of users, according to joint Forrester and Cloudflare research. But even more importantly, complexity in the network or IT and security stack also makes it harder to add new … supporting infrastructure as a key reason for failed AI projects. These examples do not even touch on security risks of complexity: incident response and analysis can become dangerously slow. They also donʼt include other cost considerations: using too many IT and security services usually means paying for features you never use. Small wonder, then, that 60% of security leaders
Related Pain Points
95% Failure Rate in Corporate AI Agent Projects
995% of generative AI business projects fail in production. This systemic failure rate reflects fundamental challenges in building AI agents that remain relevant, adaptable, and trustworthy over time.
Operational toil and fragmented incident response workflows
7Manual deployments, inconsistent workflows, and fragmented observability across tools increase on-call load and MTTR. Engineers jump between tools during incidents instead of fixing issues, driving burnout and slower delivery due to constant firefighting.
Data migration complexity and high costs
6Moving large volumes of data to AWS is time-consuming and expensive. Even with AWS Database Migration Service, phased strategies, and optimization, the process remains a significant operational and financial burden.
IT/security teams struggling to support growing user types and scale
648% of IT and security leaders report difficulty supporting evolving user types and a growing number of users, creating operational burden and complexity.
High cost of advanced features and enterprise solutions
5While basic features are free, advanced features and enterprise solutions come with significant costs that can be prohibitive for smaller organizations and individual developers.