Ford’s Chief Information Security Officer Patrick Maligan says, “This is one of the inflation points where I do not think that anyone really has a complete view of the importance of this change, which is going to the companies but also to the society as a whole,” which is an important part of Ford’s Chief Information, and a member of the company.
Given the game changing capabilities and its pace with which it is being developed-it is not surprising that companies are feeling the pressure to deploy AI as soon as possible: 98 % say they feel the growing sense of urgency In the past year and 85 % believe that they have less than 18 months to deploy the AI ​​strategy or they will see business negative effects.
Cisco President and Chief Product Officer Jetu Patel says companies that will “wait and see” will take a view. He says, “If you wait a lot, you are in danger of being unrelated.” “I don’t worry about taking AI’s job, but I definitely worry about another person who uses better than me or any other company who makes AI better using his job or making his company irrelevant.”
But immediately, despite justice 13 % of the global companies They say they are ready to take advantage of AI from its full potential. IT infrastructure is a growing challenge as the workloads are still larger. Two -thirds ( % 68 %) Organizations say their infrastructure is moderately developed to adopt and measure AI technologies.
Essential capabilities include proper computing power, improved network performance in the organization and data centers, and increasing cyber -scoring capabilities to detect and prevent sophisticated attacks in data centers. It should be linked to the observation, which ensures reliable and better performance of infrastructure, models, and overall AI system by providing permanent monitoring and analysis of infrastructure, models, and their behavior. Good quality, well -administered enterprise wide data is also required. After all, AI is just as good as its data that draws it on. All of them should cooperate through AI -based company’s culture and talent development.
This content was developed by insight, the arm of customs material for MIT technology review. This MIT was not written by the editorial staff of the Review. It was researched, designed and fully done by human authors, editors, analysts, and authors. This includes collecting data for the survey and the survey. The AI ​​tools used were limited to the secondary production process that approved a complete human review.