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By: Pure Storage     Published Date: Apr 10, 2019
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
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     Pure Storage
By: Intel     Published Date: Apr 09, 2019
Get a glimpse into the workshop hosted in Milan, Italy, where participants learn about industrial protocols and sensors, computer vision, time-sensitive networks, and more.
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     Intel
By: Red Hat     Published Date: Mar 28, 2019
Digital business brings to mind innovative technologies: mobile devices, intelligent sensors, wearable devices, virtual reality, chatbots, blockchain, machine learning, and other technology. For some, it also reflects the rapid rise of new digitally native businesses that have disrupted traditional business models and destabilized established companies and industry sectors. For the majority of organizations, digital business means pivoting to a culture of organizational agility, where the rapid pace of demand can only be satisfied by faster and more flexible development and delivery models. As most organizations do not have the luxury of completely rebuilding their technology foundation or immediately adopting new practices and mindsets, they are embracing gradual yet fundamental shifts in culture, processes, and technology to support greater velocity and agility.
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     Red Hat
By: Group M_IBM Q119     Published Date: Mar 04, 2019
The convergence between new technologies - like AI, blockchain, intelligent sensors, and edge computing - have the potential to disrupt, transform and streamline traditional supply chain operations. Join Supply Chain experts to learn: - Successes and failures of manufacturer’s to-date - Tips for selecting the best use case for your business - Industry best-practices for applying AI and blockchain
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     Group M_IBM Q119
By: TIBCO Software GmbH     Published Date: Jan 22, 2019
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
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     TIBCO Software GmbH
By: TIBCO Software GmbH     Published Date: Jan 15, 2019
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.
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     TIBCO Software GmbH
By: ALE     Published Date: Jan 10, 2019
Departments of roads and highways around the world have begun to implement technology solutions to improve the safety of their highways, lessen congestion and manage traffic more efficiently. Intelligent Transport Systems (ITS), as these systems are known, require reliable, secure and scalable networks to link cameras, sensors, signage, signaling and vehicles to remote data centers and operation centers. These networks will be deployed in harsh environments and will pose their own unique challenges to operate, maintain and manage. In this application note, we will present the unique requirements of ITS networks and discuss how AlcatelLucent Enterprise products and technologies not only meet today’s ITS requirements, but are designed to grow and scale to meet tomorrow’s as well.
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     ALE
By: Intel     Published Date: Dec 13, 2018
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.
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     Intel
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.
Tags : aws, iot, device, management, aws
     AWS
By: Pure Storage     Published Date: Oct 09, 2018
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.
Tags : 
     Pure Storage
By: Intel     Published Date: Sep 14, 2018
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.
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     Intel
By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial 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. Read about our top data science best practices for becoming a smart manufacturer.
Tags : inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
     TIBCO Software
By: TIBCO Software     Published Date: Sep 12, 2018
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
Tags : internet of things, connected ecosystem, big data, operations monitoring, process control, analytical techniques
     TIBCO Software
By: Intel     Published Date: Sep 10, 2018
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.
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     Intel
By: HERE Technologies     Published Date: Aug 29, 2018
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.
Tags : public sector, urbanization
     HERE Technologies
By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
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.
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     Hewlett Packard Enterprise
By: Splunk     Published Date: Aug 17, 2018
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
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
     Splunk
By: TIBCO Software APAC     Published Date: Aug 13, 2018
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
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     TIBCO Software APAC
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
By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
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.
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     Hewlett Packard Enterprise
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
By: DigiCert     Published Date: Jun 19, 2018
The Internet of Things (IoT) has rapidly transformed the digital landscape and the world we live in. Intelligent devices and sensors connect smart cars, robotic manufacturing equipment, smart medical equipment, smart cities, industrial control systems, and much more in a way that improves lives and saves businesses billions of dollars. But along with its benefits, rapid IoT growth introduces a new dimension of security vulnerabilities that dramatically escalates the nature and seriousness of cybercrime risks. In addition to traditional confidentiality cyber risks, IoT threats include attacks that can: • Render smart appliances useless • Shut down city power grids • Threaten lives through hacked pacemakers and other medical devices. Such security flaws not only endanger lives, frustrate customers, and disrupt business operations, but they create significant cost and public relations damage for IoT developers and manufacturers.
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     DigiCert
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
By: Pure Storage     Published Date: Apr 18, 2018
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 philanthropy
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     Pure Storage
By: TE Connectivity     Published Date: Apr 13, 2018
Whether you’re designing to efficiently charge-up a laptop, distribute power from a battery pack, keep signals uninterrupted in industrial machinery or a thousand other products, TE Connectivity offers reliable solutions that bring power & signal to your applications. TE Connectivity’s (TE) extensive connector and sensor solutions provide the essential connectivity you need for your daily interactions at home and in the workplace. Whether you are looking to design next generation display panels and internal LED lighting or you’re designing-in for the latest door alarms and pressure sensors, TE has the essential products you need for always-on connectivity.
Tags : power, signal, connect, solutions, display, workplace, industrial
     TE Connectivity
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