Accelerating the Industrial Internet of Things
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Number of Case Studies86
LumenData Delivers Real-time Predictive Analytics through IoT
LumenData Delivers Real-time Predictive Analytics through IoT
In 2013, LumenData found itself in need of adding new real-time predictive analytics capabilities to its suite of services. To meet this need, LumenData acquired a state-of-the-art streaming data, capture and real-time predictive analytics company. This solved the pure predictive analytics end, but left LumenData with a need to be able to build IoT-targeted services.From an IoT perspective, LumenData was still missing the means to create suitable applications and dashboards that would make it easy for its customers to effortlessly make sense of whatever predictive analysis they might require.
Big Data and Predictive Maintenance
Big Data and Predictive Maintenance
Predictive maintenance refers to techniques that help determine the condition of in-service equipment in order to predict and/or optimize when maintenance should be performed. Predictive maintenance is one of the most important benefits of the Industry 4.0 revolution. 
Avoid Unplanned Downtime with Predictive Analytics
Avoid Unplanned Downtime with Predictive Analytics
Objectives• Create an innovative IT environment that supports the move toward a solution-provider business model• Enhance existing business processes and leverage the power of Big Data and predictive maintenance to become more proactive, customer oriented, and competitive• Leverage the SAP HANA® platform to transform and simplify the entire SAP® solution landscape
Number of Hardware199
ADC Converter
ADC Converter
Dual Channel Dual ADC Delta-Sigma 110ksps 24-bit Serial 16-Pin SSOP Bulk
ADC Converter
ADC Converter
Dual Channel Dual ADC Pipelined 40Msps 12-bit Parallel 48-Pin TQFP Tray
Display Driver
Display Driver
VFD DRVR 5.5V 25mA 44-Pin PQFP Tray
Number of Software171
Apama
Apama
Imagine how responsive your enterprise could be if you could glean real-time insights from all that big fast data—data streaming in from global markets, mobile devices, the Internet of Things (IoT), internal transactional systems and a myriad of other sources. You can be that event-driven enterprise by using Apama. Software AG's Apama Streaming Analytics—supporting predictive analytics—is the world’s #1 platform for streaming analytics and intelligent automated action on fast-moving big data. With Apama, you can analyze and act on high-volume business operations in real time.
Teamcenter
Teamcenter
Teamcenter provides cross-domain design data management through integrations with the MCAD, ECAD, software development, and simulation tools and processes your design teams use every day. You can manage, find, share and re-use multi-domain data across geographically distributed design centers through a single, secure source of product design and simulation data. You can understand the complex relationships and dependencies between requirements and all the subsystems and design domains across all the possible configurations of the product, even as changes are introduced. You can also create assemblies from parts generated by multiple suppliers that involve complex interactions of subsystems, then prepare and validate the readiness of the design and bill of materials for fabrication, assembly and test.By integrating your current multi-domain design tools with Teamcenter, you can transform otherwise disconnected tools and processes into a single, cross-domain design data management environment that enables you to lower costs, improve quality, and increase design productivity.
SpiraTeam
SpiraTeam
SpiraTeam is an integrated Application Lifecycle Management (ALM) system that manages your project's requirements, releases, test cases, issues and tasks in one unified environment. With integrated customizable dashboards of key project information, SpiraTeam allows you to take control of your entire project lifecycle and synchronize the hitherto separate worlds of development and testing.
Number of Suppliers73
DataRPM
DataRPM
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better.DataRPM's advisory board consists of industry luminaries from companies such as Google, Hortonworks, Oracle, Cloudera, EMC, Facebook and Booz Allen Hamilton. Headquartered in Redwood City, California, the company is privately held. Customers of DataRPM include companies like GE, Cisco, Jaguar, Orange and similar Fortune 500 companies.
Simularity
Simularity
Simularity specializes in software that does real time artificial intelligence for event prediction, predictive maintenance (Condition Based Maintenance), and anomaly detection. Simularity has proprietary methods to bring cutting edge machine learning right to the edges of the network, making connected devices smarter. We have created patent-pending Event Predictive Archetypes that are able to detect anomalies and predict adverse events in time series data, even on small devices with limited computing capacity, bandwidth, and connectivity. In addition, our core technology allows decision-makers to interactively create explainable, transparent, accurate predictive models without writing code.In short, we can increase your profits by creating valuable, actionable, decisions, and even new revenue streams, from your and your customers' "Internet of Things" data.
Rulex
Rulex
Rulex is a new kind of AI platform, born from advanced government and academic machine learning research, and proven by years of deployment in diverse industries. Rulex’s unique logic-based approach to predictive analytics enables business and process experts to rapidly create and deploy AI applications with no need for math or programming skills.
Number of Organizations1
Zetta Venture Partners
Zetta Venture Partners
Zetta Venture Partners is the first focused fund committed to delivering exceptional returns from the high-growth analytics market. The firm, founded by industry veteran Mark Gorenberg, launched in 2013. With offices in San Francisco and Utah, and a worldwide network of partners, entrepreneurs and investors, Zetta Venture Partners is at the forefront of the next huge and long-lasting investment opportunity. Focused funds deliver exceptional returns. In fact, over the past 10 years, focused funds have outperformed all funds by 72 basis points, according to the National Venture Capital Association. As an analytics-only fund, Zetta delivers the expertise, network and portfolio to create ongoing, exceptional deal flow.
Number of Use Cases17
Predictive-based Maintenance (PBM)
Predictive-based Maintenance (PBM)
Predictive-based maintenance is the science of maintaining physical assets over time, in order to maximize their return on those assets. It is enabled by sensors and data analytics that provide visibility into the current and future status of assets. AKA  Condition-based Maintenance (CBM).
Equipment Efficiency Optimization
Equipment Efficiency Optimization
Optimizing the efficiency of equipment has a significant impact on profits and shareholder value. It affects productivity an quality.
Gas Detection Predictive Maintenance
Gas Detection Predictive Maintenance
Operators use gas detection devices to monitor and prevent gas leaks.Detection of gas levels and leakages in industrial environments, surroundings of chemical factories and inside mines involves significant costs, and is of crucial importance for operating safety. While preventive maintenance could provide for another IIoT solution, at remote sites it is costly and sometimes ineffective.
Number of Terms5
Contextual Experiences
Contextual Experiences
Big data analytics solutions, combined with the proliferation of edge devices collecting highly contextual data, are allowing businesses to craft experiences that are unique for each user.
Data Science
Data Science
The extraction of knowledge from large volumes of data that are structured or unstructured.
Predictive Maintenance
Predictive Maintenance
Dependable production planning and maximum machine availability through the avoidance of unscheduled downtime are the practical advantages of what is internationally known as predictive maintenance. 
86 Case Studies
199 Hardware
171 Software
73 Suppliers
2 Events
1 Organization
17 Use Cases
5 Terms
19 Guides
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