If research is to be believed, the fear of missing out (FOMO) is among the key motivators for investments in artificial intelligence. According to the State of Intelligent Automation Report, as many as 63% of global IT leaders are concerned that their organizations will lag behind the competition if they fail to implement artificial intelligence. The same report highlights that adopting this technology also comes with additional fears, such as the fear of improper utilization (35%), fear of excessive costs (33%), lack of AI expertise (32%), and regulatory risks (29%). Despite the extensive list of concerns, most executives trust AI tools and use them in some aspects of their operations. Since these services are often impossible to execute on legacy systems, the trend of AI adoption is accelerating the migration to the cloud.
For companies focusing on generative AI technologies, the cloud serves as a catalyst for innovation—not only due to cost efficiency but also because public cloud providers continuously develop new services and functionalities to facilitate the use of advanced technologies.
A significant number of AI solutions available on the market are delivered by cloud hyperscalers on their infrastructure. As a result, companies using the cloud gain easy access to a broad range of ready-made AI products, such as chatbots and virtual assistants, which they can implement without embarking on time-consuming and costly projects to build such solutions from scratch.
The demand to quickly test and capitalize on AI services is more readily achievable in the cloud, partly due to the data hosted on these platforms. Companies with transactional and client data hosted in the cloud can adopt AI and machine learning more quickly than those storing data on-premises.
The integration of generative AI using real-time, cloud-stored data unlocks numerous opportunities for efficient resource allocation, process optimization, and standardization, culminating in improved business outcomes. Of course, this is just one piece of the AI puzzle. Concerns surrounding AI cloud computing also include ethical issues and the potential for sensitive data leaks. In this context, AI FOMO often transforms into AI FOMU (fear of messing up), with many business leaders striving to strike a balance between these fears.
The symbiosis of cloud and artificial intelligence opens numerous opportunities as well as challenges that must be considered and adequately addressed.
1. Data Security and Privacy
When implementing cloud-based artificial intelligence, companies must prioritize data security and regulatory compliance. Mechanisms to achieve this include advanced encryption, access controls, and the deployment of security measures to protect sensitive data.
2. Choosing a Cloud Platform
AI workloads, particularly in areas like deep learning, require extensive computing resources. Therefore, selecting a cloud provider that offers high-performance GPUs is essential. Given the vast and growing volumes of data used to train AI models, scalable storage is also a top priority.
3. Vendor Lock-In
Although relying on a single cloud provider’s ecosystem might seem simpler, this approach may prove inflexible and financially inefficient in the long term. A multi-cloud strategy enables organizations to distribute AI workloads across different environments and facilitates quick migration during unforeseen circumstances.
According to expert predictions, AI will not only accelerate the adoption of cloud solutions but also make it faster and easier by improving portability and reducing infrastructural complexity. Regarding cloud strategies, selecting the right provider and developing a robust cloud strategy for long-term AI initiatives are critical steps for successful adoption and deriving value from new services. If you require support for evaluating various cloud options, such as Microsoft Azure, Amazon Web Services, or Google Cloud, or guidance on cost optimization, achieving scalability to meet AI demands, maintaining data security on the cloud, and addressing other challenges, our experts are here to assist.
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