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关于“智能医疗”的报告

本报告研究涉及企业/品牌/案例:隆力奇,巨石集团,浪潮公司

iiMedia Research(艾媒咨询)数据显示,疫情期间智能制造行业网络热度维持较高水平,展现出强大的成长潜力。智能制造借助无人化、智能化的技术支持和产品体系,助力我国口罩日产破亿;机器人不仅能协助医护人员缓解医院人手压力,也可以在帮助企业复工复产的同时保证生产安全与效率;工业云在协助涉疫物资供需匹配、云办公、搭建疫情防控系统等方面也有出色的表现。艾媒数据显示,疫情期间“智能制造”网络口碑值达78.5,而智能制造行业防疫表现树立公众信心,超五成网民表示对行业前景态度有所改善。智能制造在疫情期间展现出的强大生命力,将加速“中国制造”向“中国智造”的发展。

As the data of iiMedia Research showed, during the epidemic, the network enthusiasm of the intelligent manufacturing industry maintained a high level, showing strong growth potential. Intelligent manufacturing uses unmanned, intelligent technical support and product systems to help China ’s daily output of masks reach 100 million yuan; robots can not only help medical staff to relieve the pressure on hospital staff, but also help enterprises resume work and resume production while ensuring production safety and efficiency; The Industrial Cloud also has outstanding performance in assisting the supply and demand matching of epidemic-related materials, cloud office, and building an epidemic prevention and control system. According to Ai Media data, the network reputation of "smart manufacturing" during the epidemic period reached 78.5, and the performance of the intelligent manufacturing epidemic has established public confidence. Over 50% of netizens said that they have improved their attitudes to the industry's prospects. The strong vitality exhibited by intelligent manufacturing during the epidemic will accelerate the development of "Made in China" towards "Chinese Intelligent Manufacturing".

本报告研究涉及企业/品牌/案例:百度,小马智行,深兰科技,深兰科技,商汤科技,地平线机器人,大立科技,数多多,Cambricon, 数据堂,IBM, Magic Data,海深科技,阿里巴巴,华为,京东,滴滴出行,小i机器人,图灵机器人,科大讯飞,普强信息,云知声,出门问问,依图,海鑫科金,腾讯云

随着政策的推动以及资本的关注,人工智能产业仍将保持迅猛发展态势,2020年中国人工智能核心产业规模将超1500亿元。当前人工智能的商业化主要是基于计算机视觉、智能语音、自然语言处理等技术,技术应用面广泛,涉及智能医疗、智能驾驶、智能家居等多场景。2018年中国人工智能领域共融资1311亿元,增长率超过100%,投资者看好人工智能行业的发展前景,资本将助力行业更好地发展。在人工智能与出行结合领域,路径规划、网络约车、交通管理、自动驾驶等技术的研发解决了传统出行不便的痛点,其中深兰科技深耕智能交通、智能环境、智能城市等细分领域,已实现人工智能产品落地。其深兰科技熊猫智能公交车已实现在广州、天津等国内多个城市试运行。而人工智能与安防、医疗、零售等产业的结合,均解决了一定行业痛点,利用机器学习算法、深度学习和NLP促进行业发展。随着5G商用时代的逐渐来临,人工智能技术连接效率也将进一步提升,深度学习、数据挖掘、自动程序设计等领域也将在更多的应用领域得到实现。

With the promotion of policy and the attention of capital, the AI industry will continue to develop rapidly, and the scale of China's AI core industry will exceed 150 billion yuan by 2020. At present, the commercialization of AI is mainly based on computer vision, intelligent voice, natural language processing and other technologies. It has a wide range of applications, including intelligent medical, intelligent driving, intelligent home and other scenarios. In 2018, China's AI sector raised 131.1 billion yuan, with a growth rate of more than 100%. Investors are optimistic about the prospects of AI industry, and capital will help the industry develop better. In the field of combination of artificial intelligence and travel, the research and development of technologies such as path planning, network car appointment, traffic management and automatic driving have solved the pain points of traditional travel inconvenience. Among them, Shenlan Science and Technology has realized the landing of artificial intelligence products in the sub-fields of intelligent transportation, intelligent environment, intelligent city and so on. Its Shenlan Panda Intelligent Bus has been put into trial operation in Guangzhou, Tianjin and other domestic cities. The combination of AI and security, medical, retail and other industries has solved some industry pain points, using machine learning algorithm, in-depth learning and NLP to promote the development of the industry. With the gradual advent of 5G commercial era, the efficiency of artificial intelligence technology connection will be further improved. In-depth learning, data mining, automatic programming and other fields will also be realized in more application areas.

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