Accelerating the Industrial Internet of Things
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Number of Case Studies38
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
In the third wave of industrial evolution, we had automation that produced large amounts of data. This data had high potential for analytic applications, but it was not easy to analyze because it was siloed in the machines where it was generated. With this project, we demonstrate that it’s not complex to send the data to the cloud using secure and reliable services that allow us to analyze the data in near-real time and build maching learning models to extract knowledge from it.
Siemens | Using Machine Learning to Get Machines to Mimic Intuition
Siemens | Using Machine Learning to Get Machines to Mimic Intuition
The ability to learn is a precondition for autonomy. With this in mind, Siemens researchers are developing knowledge networks based on deep learning-related simulated neurons and connections. Such networks can be used to generalize information by identifying associations between extraordinarily complex realms, such as the publicly accessible Internet and a company’s internal information systems. Far-reaching and generic, this technology appears to hold the potential of mimicking what humans call intuition.
Reducing the Rate of Readmissions
Reducing the Rate of Readmissions
The client had limited or inefficient integration of its data sources, which made it difficult to see patients through a longitudinal lens. The client was, however, uniquely positioned to leverage the expansive patient data contained within its network of care, and set out to do so in 2012. Specifically, they wanted to improve the outcomes of patients with Ischemic Heart Disease (IHD) through improved care management with goals of reducing readmission rates, better managing patient cholesterol levels, and better managing patient blood pressure.Specifically, the regional healthcare provider was interested in implementing a machine learning platform, that quickly automates complex analytical processes and integrates powerful information into existing applications and portals.
Number of Suppliers72
Qylur Intelligent Systems
Qylur Intelligent Systems
Qylur is a Silicon Valley-based technology company disrupting the operational intelligence market through significantly smarter adaptive systems that deliver great user experiences at large public venues. They develop software and system solutions that are vertically integrated across the entire IIoT/M2M stack and employ social networks of machines, machine-learning and human interaction design (M2H).
Nervana Systems
Nervana Systems
At Nervana,they are developing the next generation of machines to tackle challenges in data analysis and computation. Using deep learning as a computational paradigm, they are optimizing from hardware to software to develop intelligent solutions for real-world problems. Founded by experts in machine learning, neuroscience, and computer engineering, Nervana is bringing unprecedented scale and simplicity to these brain-inspired algorithms.
Yazzoom
Yazzoom is a software, data science and engineering company specialized in machine learning and artificial intelligence solutions for industrial applications.Besides custom advanced data analytics software, Yazzoom has developed two standard products: a predictive modelling software suite and an AI-powered solution for anomaly detection on machine data.
Number of Organizations4
Bishop Ranch Innovation Intelligence Accelerator
Bishop Ranch Innovation Intelligence Accelerator
Bishop Ranch Innovation Intelligence Accelerator (BRIIA) was founded in 2017 as an integrated data innovation accelerator and collaborative community for machine learning and artificial intelligence. BRIIA’s 12-week Accelerator curriculum gives early-stage entrepreneurs the resources to start and grow companies that are fueled by machine learning, artificial intelligence, natural language processing, and related technologies. BRIIA is a community of specialists with diversity and passion in emerging technologies, analytics, marketing, sales, UX, and business development. Here, cutting edge data technologies meet entrepreneurship to foster growth in new ideas and markets.
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.
Microsoft Venture
Microsoft Venture
Microsoft Ventures brings you access to unrivaled technology, go-to market resources and relationships around the world. Our technology ranges from enterprise platforms such as Azure and Office 365 through to cutting-edge innovations in virtual reality and AI. Microsoft Ventures is your strategic partner, actively investing in startups from SeriesA to Series D. We focus on technologies enabling a mobile-first, cloud-first future, spanning big data & analytics, business SaaS, cloud infrastructure, machine learning, productivity and security, among others.
Number of Use Cases3
Edge Intelligence
Edge Intelligence
The concept of edge intelligence (EI) introduces a paradigm shift with regard to acquiring, storing, and processing data: the data processing is placed at the edge between the data source (e.g. a sensor) and the IoT core and storage services located in the cloud. As such, the literal definition of edge and intelligence is: the ability to acquire and apply knowledge and skills is shifted towards the outside of an area, here the core communication network or the cloud.
Security Claims Evaluation
Security Claims Evaluation
Security Claims Evaluation is an open and easily configurable cybersecurity platform for the evaluation of endpoint, gateway, and other networked components’ security capabilities.In an industrial environment setting, monitoring of sensors provides a window into system and operational efficiencies. Specifically, monitoring key parameters such as temperature, vibration, currents and voltage provide the operator with insights into whether operations are normal, within normal failure mode, or whether there is indication of a cybersecurity / security breach.Security Claims Evaluation provides a platform for users to evaluate whether data from the sensors under test is indicative of normal operation or abnormal operation in a non-invasive and non-intrusive manner. Furthermore, using machine learning in combination with real-time analytics capabilities, the sensor operation can be monitored and analyzed 24/7. Logging of abnormal events can be performed for further assessment and future remediation actions. Through running a pre-defined security test suite that encompasses pen testing, known vulnerabilities and other testing methodologies, testbed users’ security claims can be evaluated at a single or multiple connection points – encompassing an endpoint to gateway to cloud assessment. A report based on the test results can be provided to users describing potential security weaknesses and proposed recommendations and remediation methods.
Automatic Fleet Routing (Telematics)
Automatic Fleet Routing (Telematics)
Fleet telematics is a way of monitoring the location, movement, status and behavior of a vehicle within a fleet. This is achieved through a combination of a GPS receiver and an electronic GSM device that is installed in each vehicle, which then communicates with the user and web-based software.  
Number of Terms11
Industrial Internet
Industrial Internet
A short-hand for the industrial applications of IoT, also known as the Industrial Internet of Things, or IIoT.
Artificial Intelligence (AI)
Artificial Intelligence (AI)
 A technology that gives computers the ability to learn based on data, previous experiences, and their environment in order to make decisions in order maximize results.
Machine Data
Machine Data
Also known as machine-generated data, this is digital information created by the activity of computers, mobile phones, embedded systems, and other networked devices.
38 Case Studies
72 Suppliers
4 Events
4 Organizations
3 Use Cases
11 Terms
8 Guides
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