Cybersecurity firm Wiz Inc.’s latest research highlights the explosive adoption rate of managed artificial intelligence services and self-hosted AI tools within the cloud.
The impressive growth of AI is being driven by the rise of generative AI models comparable to ChatGPT, which has made the technology almost as popular because the open-source Kubernetes software that sits at the center of most up-to-date business applications. Published today, Wiz’s State of AI within the Cloud 2024 report is predicated on a comprehensive sample size of greater than 150,000 public cloud accounts. It provides a few of the strongest evidence yet of the enterprise’s insatiable appetite for AI tools that may potentially enhance their business processes and reduce operating costs.
Wiz’s researchers say that generative AI has, within the last 18 months, come from nowhere to grow to be the most popular segment within the technology industry today. Although traditional AI and machine learning services have been around for several years and widely integrated with various products, the rise of generative AI powered by large language models has pushed the technology into the general public consciousness.
Generative AI’s rise kicked off in July 2022 with the beta releases of image generation models comparable to OpenAI’s DALL-E 2 and Midjourney, and was accelerated by the launch of ChatGPT toward the top of that yr.
ChatGPT caught the general public’s imagination like no other AI model preceding it, and ever since its release there was a mad scramble amongst businesses to see how they will implement the technology of their services. In line with Wiz, this has propelled the expansion of an emerging community of AI builders and the event services and tools for training, fine-tuning, managing and deploying AI models.
AI takes over the general public cloud
Wiz points out that generative AI is actually a cloud-native technology due to the extremely compute-intensive nature of coaching and inference. Because of this, it has grow to be needed for organizations to reap the benefits of the unrivaled scalability of cloud computing infrastructure.
The report found that greater than 70% of cloud computing environments up and running today employ managed AI services comparable to Azure OpenAI Service, Amazon SageMaker and Google Cloud’s Vertex AI.
That signifies an incredible rate of adoption. In contrast, the favored Kubernetes container orchestration software, which is the muse of most business applications today, has been deployed in 81% of all cloud environments, Wiz’s research found.
So despite the fact that AI services are a really recent development, they’ve already grow to be almost as common as some of the dominant and widely used open-source software projects ever conceived. “To us, this means that cloud-based AI services are seeing an unusually high rate of adoption relative to other services,” Wiz’s researchers said.
Given Microsoft Corp.’s close association with OpenAI, it’s perhaps no surprise that Azure AI Services has emerged as the preferred fully managed AI service within the cloud. In line with Wiz, Azure OpenAI witnessed a 228% increase in recent users over a period of just 4 months in 2023.
That said, Microsoft’s rivals aren’t far behind. Although 54% of all Azure environments include managed Azure OpenAI instances, 53% of AWS environments include Amazon’s equivalent SageMaker service, while 44% of Google Cloud environments include Vertex AI or AI Platform instances.
Most deployments are experimental, as security concerns remain
Though Wiz concludes that the expansion in AI services is sort of unparalleled, it points out that 32% of enterprises are still experimenting with the technology, with fewer than 10 instances of AI services deployed inside their cloud environments. This, Wiz says, indicates that many cloud customers aren’t quite able to deploy AI at large scale.
One potential reason for this hesitancy is that enterprises are still concerned over the brand new security challenges that generative AI introduces. As with the early days of cloud computing, most recent AI services are being deployed without properly established standards and governance, presenting serious risks for enterprises.
There are good reasons to be concerned, because the potential for AI to spread misinformation and harmful content has been well publicized over the past yr. As well as, there are data security challenges too, as evidenced by Microsoft’s recent accidental exposure of 38 terabytes of AI data.
2024 shall be a defining yr for generative AI
Wiz says that the subsequent 12 months will see enterprises speed up their experiments with generative AI. The fee of AI model training and inference, and the necessity for enhanced security when using AI will grow to be key considerations for businesses going forward, in the event that they haven’t already, since the trend appears to be almost unstoppable at this point.
Indeed, 2024 is prone to grow to be a defining yr for technology, one where we are able to expect many corporations to decide on which use cases are price investing in, and what sorts of products and features they’re going to create.
Foremost image: svstudioart/Freepik
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