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
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.
Published By: SAP SME
Published Date: May 09, 2017
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.
Published By: SAP SME
Published Date: May 09, 2017
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.
Learn how augmented reality glasses and drones are being used in advanced search and rescue operations.
Epson’s Moverio smart glasses allow drone pilots to have a heads-up, line-of-sight flight experience, resulting in safer, more productive operations.
Moverio enables real-time access to aerial sensor data from a DJI enterprise drone, allowing operators to see:
Imagery through smoke
Locations of victims
How full a tank is
Make the most out of your Enterprise DJI drone with Epson’s Moverio Augmented Reality glasses.
Click now to schedule a demo
The Industrial Internet of Things (IIoT) has made equipment more efficient while improving customer experiences. For the first time, it enables manufacturers to gather and analyze sensor-based data to enhance operations.
Every year, Sierra Wireless finds more applications for this exciting new technology. Now, we are applying the benefits of the IIoT to commercial and industrial washing machines.
To find out more download this whitepaper today!
The industrial Internet of Things (IoT) has made equipment more efficient while improving customer experiences. For the first time, it enables manufacturers to gather and analyze sensor-based data to enhance operations. One industry that is experiencing the benefits of IoT is commercial and industrial washing machine manufacturers.
OctaveTM, Sierra Wireless' new device-to-cloud solution, lets you securely extract, orchestrate, and act on data from your washing equipment at the edge, to the cloud.
Published By: Dell EMC
Published Date: Oct 08, 2015
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) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
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.
Published By: Microsoft
Published Date: Mar 23, 2018
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.
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
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
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.
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.