GE’s 2016 Minds + Machines event focused on explaining the company’s intentions around its Predix platform and the direction GE was taking with it last fall, specifically around the application of asset analytics and thedigital twin改善工业运营。就这些技术发展如何从战略性地指导公司以及如何将Predix应用于资产中，在2017年活动中发布的公告是自然的下一步a variety of industries. Accompanying the highlights of GE’s developing strategy around Predix were new partnership and product update announcements.
Following are brief descriptions of the principal announcements made at the event:
- 帮助运行Predix边缘扩张能力analytics as close to the source of data as possible. Enhancements announced include: Predix Edge Manager, which can support up to 200,000 connected devices from a single console; Predix Machine, which enables microservice-based applications to run at the edge on a user's virtualized data center infrastructure or on server-class hardware (Predix Machine also supports Predix Edge Manager, which was previously available only as a cloud service); and Predix complex event processing (CEP), which allows for faster, more efficient, low-latency analytics and other event processing.
- Predix platform combined with Microsoft Azure will be available in North America starting in Q4 2017 and expanding globally in 2018. GE says this partnership “helps businesses better connect their information technology (IT) systems with their operational technology (OT) by bringing a company’s systems – and data – together in a shared environment. At the event, Satya Nadella, Microsoft CEO, said when it comes to making the leap to digitization, it’s important for industrial companies to realize that data feedback loops are “a means to an end for improved outcomes.” He pointed out “these loops are “not just for use as a system of record-keeping for assets, because it [improvement] doesn't end at the assets. It extends to predictive maintenance and field services. This means that core processes around assets need to be in feedback loop too."
- GE and Apple announced they will bring Predix to Apple’s iPhone and iPad tablets. The Predix-iOS software development kit includes tools that software developers can use to write industrial apps that run on Apple’s iOS operating system. GE has already developed an iOS app called Asset Performance Management Cases. The app tracks data streaming from sensors inside a power plant and helps operators determine whether a machine part, such as a bearing, can remain in service and when it needs to be replaced. GE employees and customers can download the app through the Apple app store. Kevin Ichhpurani, GE Digital’s executive vice president, said Predix on iOS will make it easier for factory workers and engineers to collaborate no matter where they are. “Colleagues can look remotely at a machine and analyze the last action taken, study notes and look at images,” he said. “Instant communication via iOS, including FaceTime video chat, can help industrial companies avoid expensive unplanned outages and utilize workers better.” As part of the partnership, GE will make iPhones and iPads the preferred mobile devices for their workers around the world and offer Macs as an option. Apple will also use Predix as its analytics platform.
- 通过集成Apache Spark AI（人工智能）发动机，增强了GE Digital的ServiceMax的现场服务管理（FSM）功能，以改善服务时间估计。服务提供商现在还可以与安装在同一设备上的第三方移动应用程序共享FSM数据。GE表示，这些新功能旨在提高首次修复率。ServiceMax首席执行官Dave Yarnold在Minds +机器的演讲中指出，10个最大的工业垂直行业中最大的公司的收入为23万亿美元，其中1.4万亿美元来自服务运营。他说。医疗产品供应商BD的Don Davis在Minds +机器的舞台上加入了Yarnold，他说，使用ServiceMax FSM启用BD将标准化带入其八个不同的SAP实例。他说，使用FSM，“我们能够为我们的服务运营开发14 kpis。”
- Predix Studiowas officially introduced at the Minds + Machines 2017 event with a release date expected in early 2018. This software is designed to help users—not just skilled software developers—build and scale their own industrial applications in a low-code environment to extend the Asset Performance Management (APM) suite. GE explains that Predix Studio delivers its capabilities using a mix of AI and machine learning to automate the heavy lifting of creating Industrial IoT apps, thereby opening app development to a broad array of end users.
- 数字双分析工作台实行自由rary of algorithms and templates to make it faster and easier for companies to build their own digital twins on Predix. GE used its own experience in managing industrial assets to generate hundreds of millions of hours of machine data to develop this digital twin library. The Analytics Workbench is currently available as a technology preview, but it can be used to augment existing digital twins with new data streams. An example highlighted at Minds + Machines showed how power producers using drones to inspect wind turbine blades, pipelines or fuel reserves can integrate visual inspection data into the digital twins they already use to manage power generation assets and grid infrastructure. The Analytics Workbench also helps users implement machine learning capabilities that allow those models to improve themselves over time.
- 操作绩效管理（OPM） - 对Predix Asset Performance Management software- 旨在帮助工业公司增加收入和利润率，优化工业流程的吞吐量，并使他们的网站更加有利可图。OPM使用实时和历史数据以及高级分析，以帮助客户做出更好的运营决策。如果工业流程偏离了计划，该软件会提供预警，并为操作员提供对操作问题进行故障排除以采取预防措施并实现业务目标所需的信息和时间。OPM软件最初将针对采矿业，并于明年年初扩展到其他行业。
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