“That is considered one of those inflection points where I don’t think anybody really has a full view of the importance of the change that is going to have on not only corporations but society as a complete,” says Patrick Milligan, chief information security officer at Ford, which is making AI a very important a part of its transformation efforts and expanding its use across company operations.
Given its game-changing potential—and the breakneck speed with which it’s evolving—it is maybe not surprising that corporations are feeling the pressure to deploy AI as soon as possible: 98% say they feel an increased sense of urgency within the last yr. And 85% imagine they’ve lower than 18 months to deploy an AI strategy or they may see negative business effects.
Corporations that take a “wait and see” approach will fall behind, says Jeetu Patel, president and chief product officer at Cisco. “In the event you wait for too long, you risk becoming irrelevant,” he says. “I don’t worry about AI taking my job, but I definitely worry about one other individual that uses AI higher than me or one other company that uses AI higher taking my job or making my company irrelevant.”
But despite the urgency, just 13% of corporations globally say they’re able to leverage AI to its full potential. IT infrastructure is an increasing challenge as workloads grow ever larger. Two-thirds (68%) of organizations say their infrastructure is moderately ready at best to adopt and scale AI technologies.
Essential capabilities include adequate compute power to process complex AI models, optimized network performance across the organization and in data centers, and enhanced cybersecurity capabilities to detect and forestall sophisticated attacks. This have to be combined with observability, which ensures the reliable and optimized performance of infrastructure, models, and the general AI system by providing continuous monitoring and evaluation of their behavior. Good quality, well-managed enterprise-wide data can also be essential—in spite of everything, AI is simply nearly as good as the information it draws on. All of this have to be supported by AI-focused company culture and talent development.
