sensor

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Published By: IBM     Published Date: Oct 28, 2009
In the IBM white paper, "The Smarter Supply Chain of the Future: Global Chief Officer Supply Chain Study," you'll see how sensor technologies, new analytic capabilities and simulation techniques can predict, if not prevent, disruptions before they occur.
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supply chain management, ibm, risk, management systems, connectivity, scm, network, network management
    
IBM
Published By: IBM Software     Published Date: Oct 24, 2011
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved and much more!
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data analysis, ibm data analysis, smarter planet new intelligence, rfid, sensors and actuators, epedigree, track and trace, insurance fraud
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
In this technical white paper from IBM, learn how predictive analytics can be used to detect internal and external threats to your organization.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
Published By: IBM Software     Published Date: Oct 24, 2011
Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software
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: 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: 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
    
Zebra
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, application integration
    
Polycom
Published By: Plantronics     Published Date: Oct 18, 2013
Voice is at the heart of enterprise collaboration. Plantronics provides a comprehensive portfolio of audio devices for the mobile professional delivering superb call clarity working anywhere. Advanced Smart Sensor Technology and Software deliver a superior user experience. InstantMeeting software allows for easy, one-touch joining of audio conference calls
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plantronics, effectively collaborating, virtual collaboration, mobile working, accurate presence status, simply smarter mobile, wireless calls, enterprise collaboration
    
Plantronics
Published By: AWS     Published Date: Jul 16, 2018
The Internet of Things (IoT) is composed of sensor-embedded devices and machines that exchange data with each other and the cloud through a secure network. Often referred to as “things” or “edge devices”, these intelligent machines connect to the internet either directly or through an IoT gateway, enabling them to send data to the cloud. Analyzing this data can reveal valuable insights about these objects and the business processes they’re part of, helping enterprises optimize their operations. Devices in IoT deployments can span nearly any industry or use case. Each one is equipped with sensors, processing power, connectivity, and software, enabling asset control and other remote interactions over the internet. Unlike traditional IT assets, these edge devices are resource-constrained (either by bandwidth, storage, or processing power) and are typically found outside of a data center, creating unique security and management considerations.
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AWS
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: Swift Navigation     Published Date: Feb 01, 2017
Download the Free White Paper: Piksi Multi for Autonomous Vehicles to learn how Swift Navigation’s centimeter-level accurate GNSS solution improves the performance of autonomous vehicles. Piksi Multi is a centimeter-accurate RTK GPS receiver designed for easy integration in the automotive core sensor suite. Its multiple bands and satellite constellations improve robustness of autonomous vehicle functionality with 99th percentile accuracy and convergence times in seconds.
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rtk, gps, gnss, autonomous vehicle, centimeter-accuracy, multi-band, multi-constellation, l1/ l2
    
Swift Navigation
Published By: Symantec.cloud     Published Date: Oct 11, 2012
Symantec has established some of the most comprehensive sources of Internet threat data in the world through the Symantec Global Intelligence Network, which is made up of more than 64.6 million attack sensors and records thousands per second.
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symantec, internet security, malware, identity theft, data security, security
    
Symantec.cloud
Published By: SAS     Published Date: Apr 25, 2017
The Internet of Things (IoT) – devices and sensors connected to computing systems and networks – has received enormous attention in the last few years. The attention is due, in part, to the proliferation of connected devices, from about a million in the early 1990s to more than five billion today. In addition, the technology for connecting the devices has become more affordable and easier to integrate.
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SAS
Published By: SnowFlake     Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
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snowflake, data, technology, enterprise, application, best practices, social media, storage
    
SnowFlake
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: 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: SAS     Published Date: Sep 13, 2013
Embedding Analytics into Real-Time Business Decisions, Operations and Processes
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sas, embedding analytics, effective decision management system, batch-type environments, sensor data, software development, it management
    
SAS
Published By: Cisco     Published Date: Sep 07, 2016
This white paper shows how today's enterprise network can prove itself to be a sensor and enforcer for security.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Today’s corporate networks are more important to business objectives than ever before. Consequently, greater amounts of sensitive data traverse both wired and wireless networks. This plethora of valuable data in today's enterprise attracts an increasing number of hackers and malware applications. However, the inherent connected intelligence and distributed nature that makes the network a treasure trove for cybercriminals can also empower the network to be a proactive security tool. Through traffic visibility, and segmentation, today's enterprise network can prove itself to be a sensor and enforcer for security.
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Cisco
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
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scaling data, big data, customer behavior, product usage, data integration
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Today’s corporate networks are more important to business objectives than ever before. Consequently, greater amounts of sensitive data traverse both wired and wireless networks. This plethora of valuable data in today's enterprise attracts an increasing number of hackers and malware applications. However, the inherent connected intelligence and distributed nature that makes the network a treasure trove for cybercriminals can also empower the network to be a proactive security tool. Through traffic visibility, and segmentation, today's enterprise network can prove itself to be a sensor and enforcer for security.
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Cisco
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