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Shadow AI Surges as Firms Stumble on AI Readiness
4 Mar
Summary
- 82% of companies struggle with inter-departmental silos hindering AI execution.
- Workers use shadow AI for productivity, customer experience, and new products.
- 85% of organizations plan to increase container adoption for AI workloads.
A significant majority of organizations, 82%, report that silos between business units and IT impede effective AI execution. This challenge has contributed to a rise in unsanctioned 'shadow AI' usage, with 87% acknowledging the associated business risks.
Workers are actively seeking AI solutions to enhance customer experience, boost productivity, and innovate new products and services. However, without proper infrastructure, these benefits cannot be accessed securely, creating a core gap in AI adoption strategies.
Leaders admit that 82% of existing infrastructure is not suitable for on-premise AI workloads. Data sovereignty also plays a crucial role in infrastructure decisions for 80% of companies.
Looking ahead, container adoption is set to increase, with 85% of surveyed organizations planning to boost their use of containers to support AI workloads, citing benefits like speed, reliability, and scalability.
