sensors

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Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software
Published By: GE Power     Published Date: Sep 16, 2016
In this paper learn how digitizing power generation could yield up to $230MM for a new combined cycle gas power plant, and $50MM for existing ones.
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ge power, general electric, gas power, data sensors, digital transformation
    
GE Power
Published By: Polycom     Published Date: Apr 30, 2013
Wearable operational video (such as helmet cams), mobile cameras and sensors, and other visual technologies can provide crucial intelligence, which then can be gathered, communicated to personnel in disparate locations, and integrated to enable unified collaboration for public security responses. The possibility is emerging for a new generation of video applications that will enhance public security and disaster management.
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videoconferencing, telepresence, video application, real time video, intelligence, security, crisis management
    
Polycom
Published By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens.
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SAS
Published By: UPS     Published Date: Aug 29, 2017
Manufacturers who want to link machines, sensors, processes, and people together face a daunting challenge. Here are three things that can help you improve supply chain visibility, mitigate risk and grow into new markets.
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ups, industrial buying dynamics, industrial distribution, industrial products, industrial products wholesale
    
UPS
Published By: Zebra     Published Date: Jul 10, 2014
Digital voices are everywhere in a digital factory. In this brief, we’ll elaborate on the technology tools digital factories use for three common functions: asset management, production planning and materials replenishment.
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zebra, digital factories, asset management, production planning, material replenishment, embedded sensors, software, wireless, cloud
    
Zebra
Published By: Raritan     Published Date: Sep 24, 2014
Sensors can save you up to four percent in energy costs for every degree of upward change in the baseline temperature, known as a set point. Download now to learn more.
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raritan, power, data center power, power and cooling, data center power, sensors, green computing
    
Raritan
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: Cisco     Published Date: Dec 22, 2016
Your network doesn’t just transport data. It serves a myriad of apps and endpoints—mobile devices, sensors, servers, machines, cameras, wearables—and all the employees, customers, and processes that use them. Which means it can produce invaluable contextual intelligence based on real-time analytics to help you navigate the growing demands of business, security, operations, and IT. Cisco DNA delivers crystal-clear visibility across your network so you can enhance mobile experiences and make business decisions quickly and accurately.
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Cisco
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: IBM     Published Date: Feb 04, 2015
Modern business ecosystems need to rethink their approach to innovation and integration. This book is your guide to applying the power of APIs to business challenges ranging from changing business models to embracing a world of devices and sensors.
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api economy, business ecosystems, api technology platform, managing api's
    
IBM
Published By: TIBCO Software     Published Date: Aug 13, 2018
Maintaining a competitive edge today means building a Digital Enterprise capable of taking full advantage of social, mobile, web, cloud, “things,” (sensors and devices), and analytics technologies. Among the terms used to describe this business transition is “the API Economy,” an economy in which APIs are no longer just an IT concern, but the underpinnings of new revenue streams and new business models that are disrupting entire industries. Read this paper to learn about: New, modern applications being built for the enterprise Application ecosystems and extending the value of your company in the API Economy Two ways to integrate devices in the Internet of Things The microservices approach to application development The role of API management in the digital enterprise
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TIBCO Software
Published By: AWS     Published Date: Oct 31, 2018
In this panel discussion, AWS will join APN IoT Competency Partners, Bsquare (device management software and services), Eseye (global cellular connectivity), and Intel (edge-to-cloud IoT platform spanning sensors, processors, IoT gateways), and cloud infrastructure, for a conversation about the challenges and opportunities of device management. Find out how enterprises can accelerate time to business value with an integrated and fully-managed approach to their connected devices.
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aws, iot, device, management, aws
    
AWS
Published By: Cisco     Published Date: Jun 21, 2016
The new age of digital manufacturing is expected to drive dramatic business improvements for companies transitioning from legacy automation systems. Manufacturers can create a foundation for a highly integrated and intelligent decision-making value chain by connecting existing industrial sub-systems, sensors and machines with enterprise applications.
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Cisco
Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS
Published By: ALE     Published Date: Jan 10, 2019
Departments of roads and highways around the world have begun to implement technology solutions to improve the safety of their highways, lessen congestion and manage traffic more efficiently. Intelligent Transport Systems (ITS), as these systems are known, require reliable, secure and scalable networks to link cameras, sensors, signage, signaling and vehicles to remote data centers and operation centers. These networks will be deployed in harsh environments and will pose their own unique challenges to operate, maintain and manage. In this application note, we will present the unique requirements of ITS networks and discuss how AlcatelLucent Enterprise products and technologies not only meet today’s ITS requirements, but are designed to grow and scale to meet tomorrow’s as well.
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ALE
Published By: Juniper Networks     Published Date: Jul 29, 2019
Get the Secrets to Designing a Resilient, Secure Campus Network. Download our 2019 buyer's guide to learn more. It’s challenging to design, deploy, and manage a campus network. Adding to this, aging equipment can slow your network down and hinder your ability to advance IT innovations that help keep your business competitive. What's more, the proliferation of devices and IoT sensors can expose your network to cyberattacks and other security threats. Our 2019 Buyer’s Guide can help you modernize your campus network, reducing OpEx while delivering a richer, more reliable user experience. Learn about the key trends and challenges that shape your campus network design and the essential considerations that should influence your selection process.
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multiprotocol label switching (mpls), switching, ethernet network services, data center design, data center management
    
Juniper Networks
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: TIBCO Software     Published Date: Aug 20, 2019
The oil field is being dynamically transformed through the connective power of the Internet, the advancements in remote connected sensors, and the possibilities of machine learning and artificial intelligence (AI). As the quest for hydrocarbons and alternative energy sources extends into deeper and harsher environments, operators, service companies, and asset owners are leveraging technology advancements to ensure their employees are safer, their fields are more productive, and their capital assets are operating at peak efficiency.
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machine learning, predictive analytics, hydrocarbons, oil&gas, cybersecurity, asset efficiency, safety
    
TIBCO Software
Published By: SAS     Published Date: Mar 06, 2018
Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
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