Can artificial intelligence replace cloud computing architects?

Artificial intelligence systems are impressing every day. Today's artificial intelligence can automate many information worker tasks, so those working in cloud computing worry they will be next.

Interest in artificial intelligence and its applications changed about five years ago. Then the pandemic happened and some budgets shifted toward rapid cloud migration. Now everything is back to normal and artificial intelligence is back. Most businesses have grasped the basic possibilities of artificial intelligence and want to weaponize this technology for their own business.

In the process, the technology becomes even more impressive. For example, with the emergence of generative AI services such as ChatGPT, generative AI has gone from a PhD thesis to an accessible and free reality.

Generative AI is a type of artificial intelligence that generates new and unique outputs, such as text, images, or audio, based on input data and learned patterns. This can include tasks such as text generation, image synthesis, and music composition.

A wide variety of inputs can be made via chatbot or API, resulting in impressive responses. The responses have been so impressive that I’ve been fielding calls from reporters who are writing stories about AI replacing workers. This is a question I've been hearing for the past 20 years, but now with a modern twist. Colleges and universities have new concerns about college students using ChatGPT or similar services to write essays for them. The output created by artificial intelligence cannot be quickly identified by plagiarism detection systems because it is not plagiarism.

AI ethics and bias issues may arise from certain types of learning data. Could these biases lead to unintended negative consequences, such as automated models denying loans to certain groups of people?

I heard several core questions: What types of human tasks can AI replace now or soon? ?Should I plan to switch careers to a job that cannot be automated by AI? Is it safe to become a Cloud Architect, Cloud Developer, Cloud Operations Engineer, Devops Engineer, Cloud Project Lead, etc.? These are the ones that most people reading this article job title. Are you at risk?

I think the reality is that we are replacing many human tasks with AI-driven automation. This is just something that happens as technology advances and is nothing new. The development of technology means that we no longer need dozens of people to harvest crops in a field in the fall. Can check out from the supermarket without interacting with a human. of cars and trucks can drive themselves.

One thing that frustrates me is the lack of useful automation throughout the IT design and deployment process. Of course, we have a wealth of tools, processes, methodologies, and other assets to accelerate our process of optimizing cloud architecture and deployment. However, they do not make critical decisions for the architect. Cloud architecture must often be determined through in-depth analysis and judgment, which can only be achieved through experience. What’s more, creativity and innovation are still needed – these are the roles humans can play.

Of course, people make many architectural mistakes, such as choosing the wrong platforms, tools, and services. Human-created architectures are completely unoptimized and fail to return value to the business. I talked about this issue recently.

If we leave the creation of solutions to artificial intelligence, perhaps we will make better decisions. Imagine if an AI system had training data that simultaneously reflected the knowledge of thousands of talented cloud architects. Such AI systems can efficiently process knowledge into solutions based on the business and technical needs provided. It may not give you the final answer you need to build something, but it can be close enough to eliminate a lot of work and potential errors.

The most likely path is that tactical AI tools will continue to emerge. These tools will focus on specific architectural areas such as network design, database design, platform selection, cloud native design, security, governance, use of containers, etc. The output should be as good as what we see today, if not better, because these tools will leverage nearly perfect data and won’t have those pesky human foibles—emotions and feelings—that drive some architectural design. Of course, there are already some such AI tools today (don’t tell me yours) and are moving in this ideal direction. However, their usefulness depends on the task.

Tactical AI tools must still be operated by knowledgeable humans who know how to ask the right questions and validate the designs and recommendations produced by the tools. Although fewer people may be needed to complete the design of the tactical components of a large cloud architecture, the process is unlikely to eliminate everyone. Keep in mind that many of these mistakes occur because businesses struggle to find skilled cloud computing professionals. Tactical AI tools can also help solve this problem by better synchronizing the demand and supply of talent.

It's easy to predict how it will develop, and nothing earth-shattering. Design, development, and deployment tools will continue to evolve. They will provide more value and usefulness. Overall, fewer people may be needed, but these tools require talented operators to work correctly. They will focus primarily on the tactical design of cloud architecture components such as networking and security.

Therefore, humans must still be relied upon to build robust cloud solutions. Smaller problems may have AI solutions, but the larger problem is that poetically automating cloud architecture remains an unsolved problem.

I think that for some time we will still need human cloud architects and solution designers to bring all of this together and ensure that we deploy optimized solutions that deliver the greatest value to the business . I don’t think this is something that can be completely replaced by artificial intelligence, but I’m under no illusions that it can’t ever be replaced.

But let’s ask ChatGPT: “Will artificial intelligence replace cloud computing architects?”

It is unlikely that artificial intelligence will completely replace cloud computing architects in the near future, because although artificial intelligence Intelligence can help cloud architects with tasks such as automated provisioning, monitoring, and resource scaling, but it still requires human oversight and decision-making to ensure systems are configured correctly and that AI is working as expected. Cloud architects also play a vital role in the overall strategy and design of cloud computing environments and tasks that are difficult to fully automate with current AI technologies. However, AI has the potential to automate some of the repetitive and routine tasks that cloud architects currently perform, allowing them to focus on more strategic and higher-level responsibilities. ”

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