如何避免数据丰富信息贫乏:为什么信息是智能工厂货币

常说数据即新石油处理并精炼数据为决策提供更有价值的信息是获取数字变换投资最佳回报的秘密

数据分析资讯为何对制造商重要今日(和明天)

Analytics bridges real-world inputs to real-world outputs leveraging the speed and power of the digital world to integrate more information, adapt to it, and evolve operations for better business outcomes.  Advancements in sensor technology, connectivity, communications networks, and the cloud mean that manufacturers can tackle challenges that previously were either too complex to scope, too costly and time-consuming, or lacked adequate information to root cause and validate.  Artificial intelligence, machine learning, and deep learning can not only help to more quickly and accurately identify patterns and trends from historical data, but they learn and adapt as new data comes in.  Analytics can merge previously disparate data from various business systems so your production line can get smarter based on your procurement system, and your procurement system can get smarter based on your quality system.驱动效率、提高质量和降低成本是智能工厂当前的关键收益,而未来将产生的好处是数据生成和增长新商机。 交付消费者和商业客户的IIOT驱动产品可以发回数据回馈给你,帮助改善产品或服务并开通新财流,而前所未有地探索,都靠数据支持

数据解析的最大神话或误解是什么
Data scientists are trained to look for anomalies, identify trends, develop theories, and implement models and algorithms to get the best information from the data.  That sounds hard, and it is.  But what can be even harder is the work to explain the value of analytics and gain alignment to invest in the digital technologies and data science teams needed to realize the vision of Industry 4.0 and data analytics.  Often, especially in complex operations, the scope of work can feel overwhelming, setting expectations on outcomes and timeline can be difficult, questions and answers prove hard to articulate, and the journey requires extensive coordination between operations, IT, business units, and finance.  A phased approach and the involvement of one or more experienced eco-system partners can help companies achieve the incremental or end-to-end transformations that are manageable and get the investment support of leadership.

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