Building the AI-enabled enterprise of the future

Artificial intelligence basically changes how the world works. With the potential to automate repeating tasks, analyze enormous data records and to expand the skills of human people, the use of AI technologies already demonstrates in the industries. In the healthcare system and in the drugs, mechanical learning and AI-driven tools will drive the disease diagnosis, reduce schedules for the discovery of medicinal products by up to 50%and divide a new era of personalized medicine. In the supply chain and the logistics, AI models can help prevent or mitigate disorders, so that companies can make well -founded decisions and improve their resilience under geopolitical uncertainty. In all areas, AI in research and development cycles can reduce the time to Market by 50% and costs in industries such as automobile and aerospace by up to 30%. Download the report: "This is one of the diffraction points where I do not believe that someone really has a full overview of the meaning of the change that will not only have a company, but also society as a whole," says Patrick Milligan, Chief Information Security Officer at Ford, the AI ​​to an important part of his transformation efforts and the expansion of its use in corporate operations. In view of the groundbreaking potential and break speed, with which it is further developed-it may not be surprising that companies feel the pressure to use AI as soon as possible: 98% say that they feel an increased feeling of urgency last year. And 85% believe that you have less than 18 months to use a AI strategy, or you will see negative business effects. Companies that pursue a “waiting -and -see approach” will fall back, says Jeetu Patel, President and Chief Product Officer at Cisco. "If you wait too long, you risk becoming irrelevant," he says. "I'm not worried that AI takes on my job, but I'm definitely worried about another person who uses AI better than me or another company, who better accepts AI or makes my company irrelevant." Despite the urgency, only 13% of companies worldwide state to use the AI ​​in full. The IT infrastructure is an increasing challenge when the work loads are getting bigger. Two thirds (68%) of organizations say that their infrastructure is at best moderate to adopt and scale AI technologies. Essential skills include appropriate calculation of the service to process complex AI models, the network performance in the entire organization and in data centers to optimize and improve cyber security functions for the detection and contraception of sophisticated attacks. This must be combined with observability, which ensures the reliable and optimized performance of infrastructure, models and the overall KI system through continuous monitoring and analysis of your behavior. Good quality, well-managed company-wide data are also essential-after all, the AI ​​is only as good as the data to which you attract yourself. All of this must be supported by culture and talent development by AI-focused companies. Download the report. This content was created by insights, the user -defined content of the with technology check. It was not written by the editorial staff by Technology Review. It was researched, designed and written by human writers, editors, analysts and illustrators. This includes writing surveys and the collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed a thorough review of human review.