IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE.
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
The Internet of Everything (IoE) is a continuous interaction among people, processes, data, and things. Sensors, networks, and smart devices are ubiquitous, providing a torrent of streaming data or big data. The Internet of Things (IoT), which is a network of physical objects accessed through the Internet that can sense and communicate, is a component of IoE.
Cisco is helping customers and strategic partners leverage the full potential of IoE to achieve radical results across all sectors and industries. Indeed, IoE is capable of helping public safety and justice agencies increase cost efficiency, improve safety and security, provide better response times, and increase productivity.
Smart technologies are a force multiplier for public safety agencies, allowing them to serve growing populations even as public spending remains constrained. The Internet of Everything (IoE) provides the connective tissue in this evolving operational environment — not only bringing together objects embedded with electronics, software and sensors, but making them work together in the service of better policing.
The IoE makes it possible to collect data and share it via the cloud, uniting disparate jurisdictions, agencies and ranks of command in positive ways. These smart and connected technologies promote collaboration and transparency among public safety agencies, revolutionizing how police, fire, courts and corrections do some of the nation’s most important work.
The transformation of supply chain management is happening now. IoT is driving that change, but supply chain analytics is instrumental in taming the massive amounts of data generated by IoT sensors, devices and objects and turning it into insight and into a competitive edge. Smart companies recognize this.
The Internet of Things enables a level of communication, collaboration and interaction between devices, sensors, machines and people that has never before been possible. This connectivity is what is called an intelligent system, and it’s revolutionizing the way we think about edge products.
Published By: Forrester
Published Date: May 10, 2012
In the never-ending race to stay ahead of the competition, companies are developing advanced capabilities to store, process, and analyze vast amounts of data from social networks, sensors, IT systems, and other sources to improve business intelligence and decisioning capabilities.This report will help security and risk professionals understand how to control and properly protect sensitive information in this era of big data.
Protect sensitive information in emerging computing models such as virtualized environments. Learn how to leverage the same security architecture to provide more effective and more efficient data security across dedicated database servers as well.
Higher education has come under increasing scrutiny as never before due to rising costs, changes in future job requirements, and new forms of learning opportunities offered by non-traditional companies and institutions. Students and parents are rightfully questioning the value of higher education based on perceived outcomes as well as staggering student loans that in some cases could take a lifetime to pay back. While the value equation debate rages on, there is another phenomenon taking place. It is nothing short of a revolution regarding the advances in technology and how institutions of higher learning along with nontraditional organizations are utilizing these powerful new tools. These new tools include new mobile devices, enhanced and feature-rich learning management systems, data-feeding sensors, 3D printers, smart classrooms, smart buildings, and collaboration tools allowing students and faculty to collaborate just about anywhere face-to-face, virtually.
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.
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.
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.
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.
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.
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.
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.
Published By: Raritan
Published Date: Sep 24, 2014
Sensors are an easy to install, cost-effective way to reduce energy costs, improve reliability, and increase capacity for future data center growth. But most managers do little beyond monitoring the temperature by checking the thermostat reading on the wall.