How Industry is Embracing AI
Posted: Sun Jan 19, 2025 3:31 pm
by 2030 the share of industries with a high level of readiness for the implementation of AI will reach 95%.
According to the National Center for Artificial Intelligence Development under the Government of the Russian Federation (NCAI), the current average level of AI use has increased by 1.5 times since 2021, and now in priority sectors it is 32%.
The center's report on the index of readiness of priority sectors of the economy for the implementation of AI notes that 25.8% of organizations in the manufacturing japan whatsapp number database ndustry use such technologies, and more than 28% of them consider the effect of implementation to be significant. A third of enterprises in this sector that do not use AI plan to implement "smart" technologies within the next three years. In the fuel and energy complex, the share of enterprises using AI has already exceeded 40%, the authors of the study note.
According to the National Strategy for the Development of Artificial Intelligence signed by the Russian President, the share of priority sectors of the economy with a high value of the readiness index for the implementation of AI technologies by 2030 should increase from the current 12 to 95%, including thanks to government support.
According to the NCRII index, in priority industries, intelligent decision support came out on top in popularity among AI technologies last year — it is used by 71% of organizations using "smart" technologies. Then come speech recognition and synthesis (67%), computer vision (59%), and natural language processing (58%).
In industry, the use of AI helps enterprises optimize technological processes and improve labor productivity, reduce costs and consumption of raw materials. Neural networks help solve innovative problems: collect data from equipment, predict the durability of tools and production lines, the timing and cost of their maintenance,explainexperts from Innopolis University.
The pace of implementation of artificial intelligence in industry varies greatly depending on the company, explains Alexey Shpilman, head of the Practice and Data working group of the Alliance in the field of AI. Oil and gas, metallurgy and agribusiness are among the first to implement it. Companies such as Gazprom Neft, Sibur, Severstal, Rusal, Rusagro and Uralchem have their own solutions in this area, and some already have billion-dollar effects from their use, the expert continues.
According to the National Center for Artificial Intelligence Development under the Government of the Russian Federation (NCAI), the current average level of AI use has increased by 1.5 times since 2021, and now in priority sectors it is 32%.
The center's report on the index of readiness of priority sectors of the economy for the implementation of AI notes that 25.8% of organizations in the manufacturing japan whatsapp number database ndustry use such technologies, and more than 28% of them consider the effect of implementation to be significant. A third of enterprises in this sector that do not use AI plan to implement "smart" technologies within the next three years. In the fuel and energy complex, the share of enterprises using AI has already exceeded 40%, the authors of the study note.
According to the National Strategy for the Development of Artificial Intelligence signed by the Russian President, the share of priority sectors of the economy with a high value of the readiness index for the implementation of AI technologies by 2030 should increase from the current 12 to 95%, including thanks to government support.
According to the NCRII index, in priority industries, intelligent decision support came out on top in popularity among AI technologies last year — it is used by 71% of organizations using "smart" technologies. Then come speech recognition and synthesis (67%), computer vision (59%), and natural language processing (58%).
In industry, the use of AI helps enterprises optimize technological processes and improve labor productivity, reduce costs and consumption of raw materials. Neural networks help solve innovative problems: collect data from equipment, predict the durability of tools and production lines, the timing and cost of their maintenance,explainexperts from Innopolis University.
The pace of implementation of artificial intelligence in industry varies greatly depending on the company, explains Alexey Shpilman, head of the Practice and Data working group of the Alliance in the field of AI. Oil and gas, metallurgy and agribusiness are among the first to implement it. Companies such as Gazprom Neft, Sibur, Severstal, Rusal, Rusagro and Uralchem have their own solutions in this area, and some already have billion-dollar effects from their use, the expert continues.