As pioneers in implementing IT infrastructure for many of our customers, providing customized solutions and talking about trends that drive innovation and competitiveness, today we want to talk about a real revolution: artificial intelligence applied to infrastructure.
Let's start at the beginning, infrastructure, even if it is just a word, comprises many elements: network elements, servers, computing, storage...
But it's not just these elements that you need to be monitoring.
All these groups have vital signs or, very much the same thing, the need to monitor their state in which more than 500 variables from different sources are found. There are many indicators that allow you to see the health status of an infrastructure and all these are traditionally grouped into different dashboards.
Different manufacturers, different elements and different sources make up the infrastructure, which means that dashboards and reports also have many variables.
All that complexity, at present, is not being analyzed because no human is able to look at all the values or interpret it holistically or horizontally.
Where does AI come into all of this?
Artificial intelligence is able to interpret all those indicators and relate them to each other in a way that allows it to see a problem before it occurs in real time.
Let's take an example: all the ATMs of an entire bank can go down and the problem came from a server being down, and there surely were signs that the incident was going to occur, but they were not seen in time.
Use Cases
- Preventive maintenance: As we said in the previous example, a failure in the infrastructure not detected in time can literally stop the business operations with the consequent damage to customers and brand reputation.
- Inference. Or very much the same thing, when you ask something to an artificial intelligence. A CIO might ask: Is my infrastructure well sized? Is it performing as it should? How long does it take to process a part? Why do we take so long to respond to the customer's request at an ATM (for example)? In natural language, the CIO could ask the AI, he could literally chat with his infrastructure, and it would answer the question and also indicate possible solutions. CTOs will then be able to give a simplified, real-time view of an infrastructure without needing to consult seven (or more) dashboards.
One more step: becoming an agent
AI is not only for consultation but also for action. To do this, you would have to give write access to your infrastructure so that AI is able to do things. This is, for example, correcting detected faults, expanding the capacity of the virtual infrastructure... preventive and corrective actions at the end of the day.
This entails a revolution that optimizes business processes, improves response times, streamlines dedicated resources, streamlines reporting and completely transforms the customer experience.
This is not science fiction: current models are already capable of doing this. The challenge here is to adapt the model to the specific casuistry and ecosystem of each client. We are talking about a project that could be completed in a timely manner in about six months.
OpenAI, Google's Gemini... we are seeing new and more capable models every day so that these IT infrastructure services and IT solutions projects that allow you to "chat with your infra" become increasingly effective, productive and efficient.
SGX Services is our service specialized in everything related to Artificial Intelligence, Process Automation and RPA. Contact us here, we are (almost) sure we have the solution for you.
