Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.

There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.

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 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.

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.

For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.

A transformação digital está diretamente relacionada à mudança em curso da economia digital, que se traduz na interconexão em tempo real de indivíduos, empresas e sociedade, com respaldo da tecnologia. Pense nos recursos avançados que estão modificando a natureza dos negócios: » Hiperconectividade –decorrente das comunicações a qualquer hora e lugar. » Poder computacional ilimitado, disponibilizado pelas diversas plataformas. » Computação em nuvem, com acesso facilitado a softwares e serviços hospedados. » Proliferação de sensores e dispositivos móveis, que oferecem novas e contínuas fontes de informação, bem como meios de acessá-las. » Avanços na segurança cibernética, que garantem acesso confiável e uso de informações essenciais, minimizando vulnerabilidades internas e externas.

A transformação digital está diretamente relacionada com a mudança em curso da economia digital, que se traduz na interconexão em tempo real de indivíduos, empresas e sociedade, com suporte da tecnologia. Pense nos recursos avançados que estão modificando a natureza dos negócios: » Hiperconectividade – decorrente das comunicações em qualquer tempo e lugar » Poder computacional ilimitado, disponibilizado pelas diversas plataformas » Computação em nuvem, com acesso facilitado a software e serviços hospedados » Proliferação de sensores e dispositivos móveis, que oferecem novas e contínuas fontes de informação, bem como meios de acessá-las » Avanços na segurança cibernética, que garantem acesso confiável e uso de informações essenciais, minimizando vulnerabilidades interna e externa

HPE InfoSight analyzes millions of sensors every second to predict and prevent problems across the infrastructure stack and transform the support experience. Based on ESG research, the benefits to enterprises stemming from HPE InfoSight are both significant and unique.

To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.

By processing real-time data from machine sensors using arti?cial 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.

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.

In unserer immer stärker vernetzten Welt haben Qualität, Zuverlässigkeit und Konsistenz einen hohen Stellenwert, insbesondere im Zusammenhang mit intelligenter Haustechnik, dem sogenannten Smart Home. Die Antennen, Steckverbinder, Relais, Sensoren, Schalter, Kontakte und Schrumpfschläuche innerhalb dieser Geräte spielen bei der letztendlichen Funktionalität des Produkts eine entscheidende Rolle. Legen Sie den Schwerpunkt nicht auf die richtigen Bauteile oder wählen sogar die falschen oder inkompatible Bauteile aus, wird die Zuverlässigkeit des Geräts zum Problem. Wenn das Gerät aussetzt oder gänzlich ausfällt, verliert der Benutzer das Vertrauen in Ihre Produkte und vermutlich ein Stück weit das Interesse an intelligenten Geräten im Allgemeinen. Die Herausforderung besteht darin, zu wissen, welche Bauteile für Ihre Konstruktion entscheidend sind und wie Sie Ausfälle am besten minimieren.

Die Zukunft für den Serviceaußendienst Kevin Ashton, Technologieexperte aus Großbritannien, begründete am Massachusetts Institute of Technology (MIT) das Auto-ID Lab, in dem Pionierarbeit auf dem Gebiet der RadioFrequency Identification (RFID) und anderen Sensoren geleistet wurde. Im Zuge seiner Tätigkeit prägte Ashton im Jahr 1999 erstmals den Begriff des „Internet of Things”, kurz IoT, um die Vernetzung alltäglicher Gegenstände und Geräte sowie deren Übermittlung von Daten und Informationen zu beschreiben. Kevin Ashton gilt deshalb heute als „Vater” des IoT-Konzepts. Ende des Jahres 2015 war Kevin Ashton als Referent auf einem europäischen Kongress zum Thema Kundenservice geladen. Seine These: Das Servicemanagement im Außendienst sei die erste Branche, die mit dem Internet of Things eine grundlegende Transformation durchlaufe.

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.

In our increasingly connected world, quality, reliability and consistency matter a great deal, particularly in the context of the smart home ecosystem. The antennas, connectors, relays, sensors, switches, terminals and tubing inside these devices play critical roles in the product’s ultimate functionality. If you don’t focus on the right components or choose the wrong or incompatible ones, then device reliability becomes an issue.

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

IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices

Today’s tech savvy consumers are continually driving organizations to deliver a modernized shopping experience. To achieve this, retailers are pushing the edge on developing non-traditional ways in delivering sales messages. One of the best ways to engage shoppers with an in-store digital presence is through modern adaptive signages. Modern signages enable two-way interaction between customers and businesses, tapping onto cutting-edge technologies such as sensors and analytics to respond to customer behavior—helping retailers customize content on the fly. Find out how Giada Technology leveraged on Intel® processors to power up their cloud terminals to pre-process signage, sensor, and mobile data to efficiently exchange information with the cloud. Retailers are better positioned to present contextual promotions to the shoppers, delivering benefits of lesser wait-time and increased customer satisfaction.

With urbanization set to increase rapidly – the UN predicts that by 2050, 68% of the world’s population will live in urban areas – discover how, with HERE, you can keep your city moving. And make it more safe, efficient, and green. HERE is already working with governments around the world to keep traffic flowing and pollution down. In this guide, discover how, with our growing network of sensors and over 30 years’ experience, we can deliver the real-time insights to keep you abreast of what’s actually happening on your roads, so you can better meet government safety and mobility targets.

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.

Part 3 in our Partnering with Certainty Webinar Series, "Customer Demands at the Edge." As distributed edge environments become more critical, physical security becomes more important. Nobody would leave their data center wide open for anyone to enter, but that’s exactly how many organizations treat their edge computing sites. Often, they consist of a rack or two of gear in a non-dedicated location, perhaps a janitor’s closet, with little to no physical security. Fill out your information and click "Register" to watch the third event in our Partnering with Certainty Webinar Series, “Customer Demands at the Edge: Protect me from Downtime!” This webinar originally aired on November 9th, 2017. In this webinar, we discuss physical security best practices, including environmental issues such as temperature and humidity monitoring. We also update partners on the physical security features of the latest APC racks and the NetBotz line of security and environmental appliances, cameras and sensors.

Parking lot, area, and pathway lighting that burns all night represents a significant source of energy waste and contributes to needless sky glow and light pollution. Learn how that can be avoided with this whitepaper.