Enterprises are implementing digital twin technology

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The AI ​​readiness survey results suggest that enterprises need to update or modernize their IT infrastructure, whether in their own data centers or through colocation or cloud services. It’s not just about data center infrastructure, but also about ensuring that the network infrastructure can handle AI workloads, says Kaladhar Voruganty, senior technologist at Equinix.

“In many cases, when you’re using AI, all the data isn’t within your four walls,” he said. “You have to go to the cloud or you have to go to data brokers. You have to go to external data sources and deliver that data securely, at high speed, to where the AI ​​is happening. So organizations have to rethink how they’re going to build their AI infrastructure from a azerbaijan mobile database perspective.”

The AI ​​readiness survey results also highlight the need for enterprise IT organizations to hire external talent or train current employees to have the skills needed to build the infrastructure and deploy AI applications. Of those expanding their IT teams, 37% are looking for AI and ML specialists.

Nine out of 10 respondents have already implemented or plan to start using digital twin technology, the study says. Digital twins are virtual or digital representations of a physical asset, facility or production process that enable organizations to gain data-driven insights into their operations.

Those who have implemented the technology cite increased productivity (54% of respondents), cost savings (45%) and increased customer satisfaction (41%) as the main benefits.

IT hiring to increase
Most IT decision makers plan to increase their IT workforce despite economic uncertainty. In fact, 57% said they have increased their IT workforce in the past two years, and 66% plan to do so in the next 12 months, the study found.