internet things

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Published By: Gigaom     Published Date: Jan 31, 2019
In this webinar we will discuss how leading entities are modernizing manufacturing with mobile and IoT.
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samsung, mobile manufacturing, manufacturing, internet of things, iot, ai manufacturing, artificial intelligence
    
Gigaom
Published 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
Published By: Great Bay Software     Published Date: Jan 09, 2019
Ninety percent of business executives believe the Internet of Things (IoT) is important to the future of their organization. And, as IoT is expected to generate a whopping 21% increase in corporate profits by 2022, it’s clear there’s value in adoption. However, there are still plenty of risks that require mitigation through careful planning, cross-functional teamwork and mature security measures. This white paper explores the business benefits and the security complexities IoT introduces for business organizations, and provides key considerations and recommendations for securing IoT deployments. Download the white paper today!
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Great Bay Software
Published By: Epicor     Published Date: Jan 09, 2019
Behind the scenes of the world’s leading industrial and manufacturing companies, a profound digital transformation is now underway .1 As with any profound transformation, the opportunities for competitive advantage and growth are enormous, but so are the challenges . How do you determine what your next digital transformation steps should be? How do you position your manufacturing business to take the next step—and the one after that? This eBook will help you answer these questions . In it we will: XX Introduce the role of visibility in digital transformation XX Consider three key trends that are shaping the future of manufacturing by delivering the visibility that enables transformation: – Growth of the Internet of Things (IoT) – The advance of analytics – The migration of applications to the cloud XX Identify the traits you need in your core systems to take advantage of these trends—giving you the visibility to identify and take the steps that will help transform your business into
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Epicor
Published By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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Group M_IBM Q119
Published By: Genesys     Published Date: Dec 20, 2018
Customer service technology buyers typically plan for the next one to two years. But to truly become customer-obsessed, companies need to understand what new technologies and customer service experiences will seem normal for their customers in five years. By 2021, the internet of things (IoT) will have transformed many companies from being products-based to services-based. Rather than wait for the future to arrive, you need to start planning for tomorrow’s technology today. Read the Forrester Research report now. It discusses: • Service experiences your customers will expect in 2021 • Five technologies that will reshape customer service by 2021 • Three steps to help you get started
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Genesys
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result. Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind. Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
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BMC ASEAN
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Epicor     Published Date: Dec 06, 2018
Change—and the innovation it creates—increasingly defines the winners and losers in today’s manufacturing industry. As successful manufacturers continue to embrace the Internet of Things (IoT), Industry 4.0, and other digital transformation trends, it’s important to recognize and implement these changes or risk getting left behind by the competition. In this Epicor eBook, we’ll look at five key areas where successful manufacturers must embrace change and use it to drive innovation, competition, and growth—including: • The accelerating pace of technology change • The changing face of the modern workforce • Competing in a global manufacturing marketplace • Tapping the power of analytics and data-driven manufacturing • Charting a path to sustainable, cost-effective compliance We’ll also explain how Epicor Cloud ERP equips manufacturers to regard change as an opportunity rather than a threat. Download the eBook to learn more.
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epicor erp, cloud erp, digital transformation
    
Epicor
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Sage Software (APAC)     Published Date: Nov 28, 2018
Manufacturing sector has suffered from a disruptive economic climate. One of the most disruptive forces in the global manufacturing sector is the Internet of Things - ‘IoT’. This is forcing change both on and off the floor, making manufacturers think outside of the box. Are you ready to take advantage of what IoT offers? Find out in this whitepaper.
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Sage Software (APAC)
Published By: T Systems     Published Date: Nov 28, 2018
The wait is over. Here at T-Systems, we are proud to present the findings of CXP Group - a leading independent European research and advisory firm in the field of digital, software and IT services. Their new “Digital Industrial Transformation with the Internet of Things” report examines the dynamic range of opportunities that IoT holds for businesses and explores the challenges of integrating existing data processes with those that are IoT enabled. The report is the result of the feedback cultivated from interviews with senior business and IT decision-makers responsible for creating and running innovation strategies at 250 large-scale European manufacturers. The data has been disseminated by region, strategies, pain points, IoT adoption, intention, investment etc. and provides readers with a detailed examination of what industrial businesses look for most from IoT. The report provides a fascinating unearthing of influencing factors for IoT readiness and digitization as a whole. Using
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industrial manufacture, iot, internet of things, iot adoption, european, digitization, digitization strategy, value chains, service providers, consultation, supply chain management, operational technology, data analytics, new business models
    
T Systems
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Cloud services are a pillar of a digital transformation, but they have also become a thorn in the side of many security architects. As data and applications that were once behind the enterprise firewall began roaming free—on smartphones, between Internet-of-Things (IoT) devices, and in the cloud—the threat landscape expanded rapidly. Security architects scrambled to adjust their technologies, policies, and procedures. But just when they thought they had a handle on securing their cloud-connected enterprises, new business imperatives indicated that one cloud wasn’t enough. Modern enterprises operate in a multi-cloud world, where the threat landscape has reached a new level of complexity. Security teams are juggling a hodgepodge of policies, threat reports, and management tools. When each cloud operates in its own silo, the security architect has even more difficulty supporting the CISO or CIO with a coherent, defensible security posture.
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Fortinet EMEA
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
When it comes to securing all the parts of a modern distributed network, endpoints remain the most vulnerable outlier. Mobility has brought a flood of different devices that cross in and out of enterprise networks on a daily basis. This public exposure, combined with inadequate traditional endpoint security and a high degree of user autonomy, makes these devices prime targets for malware infections and other forms of sophisticated attack that seek to exploit the broader organization. And threat actors are finding enormous success along these vectors. To stay competitive, most organizations are currently embracing digital transformation (DX)—including cloud services, smart Internet of Things (IoT) devices, and greater mobility. These adaptations provide organizations with faster and more seamless access to critical information, regardless of the device being used to access it. However, as distributed networks expand and become more difficult to manage, the endpoint remains a weak link i
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Fortinet EMEA
Published By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant
Published By: BigCommerce     Published Date: Oct 16, 2018
Businesses who have lived through the evolution of the digital age are well aware that we’ve experienced a generational shift in technology. The rise of software as a service (SaaS), cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies have disrupted industries and changed customers’ expectations. In our always-on, buy anything anywhere world, customers want their shopping experiences to be personalized, dynamic, and convenient. As a result, many businesses are trying to reinvent themselves. Success in a fast-paced economy depends on continually adapting and innovating. Companies have to move quickly to keep up; there’s no time for disjointed technologies and old systems that don’t serve the customer-obsessed mentality needed to thrive in the digital age.
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BigCommerce
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Across enterprises of all kinds, data is multiplying rapidly in both quantity and variety. Across multi-cloud environments, new sources are exponentially increasing the growing stream of information, including the Internet of Things, social media, mobile devices, virtual reality implementations and optical tracking.
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418
Published By: Cisco     Published Date: Sep 27, 2018
Asia Pacific is an exciting region where great strides are being made in digital transformation. It is home to significantly diverse economies and is remarkably leading the charge in developing connected cities of the future—smart cities. Many economies are seeing the benefits of these rapid developments, and as the Internet of Things (IoT) becomes commonplace in organizations and workers continue to work remotely and flexibly, more devices are becoming connected to the Internet.
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Cisco
Published By: Cisco     Published Date: Sep 27, 2018
As the world of traditional manufacturing fuses with information technology, organizations are tapping into a level of technical orchestration never attainable before. Symphonies of systems facilitate real - time interactions of people, machines, assets, systems, and things. This is the Smart Factory; the factory ecosystem of the future. It is an application of the Industrial Internet of Things (IIoT) built with sets of hardware and software that collectively enable processes to govern themselves through machine learning and cognitive computing
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Cisco
Published By: CA Technologies EMEA     Published Date: Sep 12, 2018
Plötzlich ist das Netzwerk wieder angesagt. Technische Trends wie das Internet of Things, softwaredefiniertes Networking und wachsende End User-Erwartungen führen zu einer Nachfrage nach ungestörter Performance und Zuverlässigkeit des Netzwerks. Die Datenmengen werden zunehmend größer, und Unternehmen können ihre geschäftlichen Ziele nur noch mit mehreren Clouds erreichen. Wie kann das Netzwerk in dieser Situation Schritt halten und auch noch die künftigen Anforderungen erfüllen? In diesem eBook werden die Trends analysiert, die das Unternehmensnetzwerk beeinflussen – das moderne Netzwerk. Zudem werden die damit für NetOps-Experten verbundenen Probleme und Maßnahmen von Unternehmen zur Vorbereitung auf die Zukunft behandelt.
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CA Technologies EMEA
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