sensor technology

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Published By: Microsoft     Published Date: Jul 20, 2018
Kevin Ashton founded the Auto-ID Center at the Massachusetts Institute of Technology, and has done pioneering work in radio-frequency identification and sensor technology. Ashton is known for coining the term “the Internet of Things” to describe a system where the Internet is connected to the physical world via ubiquitous sensors. In 2015, he spoke at a European customer service conference and noted that field service management is the first industry being transformed by IoT. Some people in the industry have noted that the entire IoT concept came from trying to solve field service problems in 1999. IoT’s origin story lies in field service management. Clearly, field service management and IoT are deeply intertwined. But how are the changes being implemented? And how can you benefit from them?
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Microsoft
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 audio devices, smart sensor technology and software, instantmeeting software, audio conference calls
    
Plantronics
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: 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: 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: 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: RF Code     Published Date: Sep 03, 2014
In the coming months, RF Code will launch the first of its planned new software tools, which the company says will enable users to add data relating to the physical datacenter to any number of other applications. Click here to get a preview.
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rf code, sensor technology, rfid, radio frequency, data center power, power and cooling, energy savings, green computing, data center design and management
    
RF Code
Published By: Tekscan     Published Date: Dec 07, 2017
This white paper provides a look at the underlying sensor technology and discusses important considerations in designing sensors into a robotic application.
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tekscan, robotic sensors, robotic manufacturing, manufacturing, design technology, internetworking hardware, optical networking
    
Tekscan
Published By: SAS     Published Date: Aug 04, 2016
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. The result is that IoT is helping to digitize more and more business processes, from the factory floor to tracking shipments across oceans. Digitized processes are providing a continuous stream of digital data. By analyzing the data stream, businesses can refine their processes by better understanding how those processes are performing, identifying possible issues sooner and uncovering areas for improvement.
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best practices, technology, data, competitive advantage, data stream, digitized process
    
SAS
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