How AI is Changing Technology? – [Tutorial 2025]

Modern computers provide unlimited functionalities that can at times make us feel insufficient. Numerous software applications are equipped with many features that we don’t know how to use, particularly when there are plentiful products available to accomplish our tasks.

With Gen AI i.e. Generative AI, we are at cross roads asking if Gen AI be the next technology that make us feel inadequate or will it help in making our products work for us.

Therefore, the blog here discussed the basics of AI and how one can apply it for backup.

Gen (Generative) AI Solutions – Do’s & Don’ts

Gen AI cannot resolve all technology issues, but if you steer clear of dangers or superficial uses, then you can do remarkable things.

The dangers to avoid –

Cost – When “big data” was trending, companies constructed large Hadoop clusters and relied on MapReduce to discover deep insights but only encountered huge bill. AI need specific application otherwise the expenses could become formidable.

Security & Privacy – When the cloud emerged every business unit in “Shadow IT” put data at risk. “Shadow AI” is even a bigger threat to data privacy.

Hallucinations – Gen AI is unreasonably confident. It provides you an answer even when fictional. It is important to have guardrails to keep AI solution in order.

The superficial uses to ignore –

1. Chatbot – They are highly useful but they possess standard functionality which doesn’t go well with the product. It is would be wise to search interface on documentation but slightly.
2. We display the data to you – if someone is imposing AI your issue, then they are essentially requiring you to contribute to their product.

What to Seek for in Real AI Solution:

Clear Use Cases – If there is no clear use case present, they are promoting “Do it yourself” and allowing you to work for them.

Security and Privacy Integration – The AI solution need to be integrated with product’s existing security and privacy framework. If it carries out the operation independently of recognized standards, then it causes a risk.

Trusted Data – To reduce hallucinations, confirm if the solution provider has access to a great amount of appropriate, precise data on which to train the model.

Real-World Backup Example of Generative AI in Action

To look at the role Gen AI carries out in backup, let’s go through a common problem to check where AI applies.

Every customer has encountered challenges in detecting the causes of backup failures. The team should verify if the problem is general or only a temporary fault. If you find any issue, then it is necessary to spot the reason that can include backup software bugs, network performance, backup storage capacity, administrator error, cyber attack, and more. After troubleshooting the issue (or issues), the team needs to make resolution plan. The process is difficult and is made even trickier because most GUI is designed for the “happy path”.

Gen AI helps diagnosing and remediating backup failures:

Flexible GUI – Most IT administrators feel uncomfortable when navigating backup UI as they use it so unfrequently. A conversational interface allows the admin to ask a question that AI can understand and translate into action.

Reporting/Data Recovery – The initial phase in any troubleshooting work out is to collect data. The Gen AI has the ability to use the appropriate reporting APIs to extract only the required data.

Wise Response – Every system, irrespective of its simplicity possesses different terminology and issues. The Gen AI is capable of recognizing and summarizes the appropriate documentation and Knowledgebase articles to guide the IT admin in evaluating the situation.

Recommendations – Everybody need to understand the options, and the best practices. The Gen AI system can review pros and cons of entire list of available options so that user can take the right decision.  

Navigation – The Gen AI can assist the IT admin to the suitable locations in the user-interface in order to implement the plan effectively.

Generative AI helps simplifying each and every tricky issue, increase time to resolve issues, and enhance the response quality. But only if there is a plan.

Conclusion

Gen AI is currently encircled by major hype. When not used properly, it causes a pricey security threat and may even deliver imprecise responses. If utilized without vigor, it risks becoming just another tool that requires broad user input. However, when applied properly, Gen AI will simplify the countless of solutions available.