Lastly , the skill gap presents a challenge for many organisations , and adopting IaaS models is no different . “ Organisations may need to develop new skills and expertise to manage and operate their IaaS environment effectively ,” Liron notes .
The future of IaaS : Emerging trends and innovations As technology continues to evolve , so does the landscape of IaaS . Several key trends are shaping the future of this cloud computing model .
As Mallory observes , AI and Machine Learning ( ML ) are at the forefront of these trends , “ In the coming months and years , generative AI ( Gen AI ) will still be at the centre of cloud conversations . The emergence of AI is dependent on access to the cloud , and as the AI market matures , we might see more PaaS and SaaS solutions develop around it .”
The integration of AI and ML with IaaS is opening up new possibilities for businesses . Nick notes : “ IaaS platforms are integrating AI and ML services , facilitating data analysis and automation .” This integration is enabling businesses to leverage advanced analytics and automation capabilities without the need for significant upfront investments in AI infrastructure .
Edge computing is another trend that ’ s gaining traction in the IaaS space .
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