Learning from Cloud-First Mistakes to Improve AI Strategy
Tuesday, 20 August 2024, 09:46
The Cloud Retrospective: A Learning Curve
Cloud computing’s rise a decade ago ushered in Shadow IT, where teams gained instant access to vast resources without oversight. Organizations faced issues with costs and governance that required reevaluation. Today, similar risks arise with Shadow AI, as teams rush to adopt AI solutions.
Applying Shadow IT's Lessons to Generative AI
- Build for Cost Efficiencies Now: Many organizations are rethinking their cloud strategies to avoid overspending, especially with the potential of generative AI.
- Prioritize an On-Prem First Strategy: Safeguarding data and maintaining governance is essential as AI evolves.
- Continuously Evaluate and Adapt: As technology advances, flexibility and control over data should remain priorities.
Sunny skies are ahead with proper planning in the AI era. By applying hard-earned lessons from previous cloud computing experiences, IT leaders can avoid past mistakes while fostering innovation.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.