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Published By: Arrow Electronics     Published Date: Oct 28, 2015
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 its revolutionizing the way we think about edge products.
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Arrow Electronics
Published By: Jamf     Published Date: Mar 29, 2018
With Mac labs being a major presence on university campuses, many IT admins rely on imaging to ensure computers do not fall prey to viruses and costly data breaches, and to provide students with the education resources they need to be successful. The problem is imaging machines is a tedious and manual process, requiring lots of IT time. In this white paper, we examine a better way to manage a Mac lab and explain how to: Leverage Apples Device Enrollment Program (DEP) to automatically configure and enroll Mac devices into management Make apps and resources readily available for students to use, regardless which computer they choose Ensure students only have access to the resources relevant to them by binding machines to your schools directory services system
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Jamf
Published By: GE Power     Published Date: Oct 05, 2016
Digital technologies are transforming the power sector. From delivering power to underserved markets to managing variations in market conditions and fuel costs, power leaders are using analytics and machine sensor data to create new operating dynamics and capture value. 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.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: GE Power     Published Date: Oct 05, 2016
Gathering machine sensor data for analysis across a power plant is only the beginning. The Digital Twin takes analytics to the next level by creating a virtual analytic model of assets within the plant. With the GE Digital Twin power companies can understand how assets are performing in real time, and predict future performance.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: Juniper Networks     Published Date: Aug 07, 2017
Warum maschinelles Lernen entscheidend zur Cybersicherheit beitrgt
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
Pourquoi lapprentissage automatique est essentiel pour la cyberscurit
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Juniper Networks
Published By: HP Inc.     Published Date: Jul 17, 2017
Three-dimensional printing of useful objects and machine parts is becoming a reality. 3D printing offers the ability to produceboth rapidly and at low costshort runs or one-of-a-kind parts. HPs development of HP Multi Jet Fusion technology includes new HP Jet Fusion 3D Printers and an Open Platform that will revolutionize the design, materials, manufacturing, and distribution of 3D parts to drive the digital transformation of manufacturing. This technical white paper provides details on HP Multi Jet Fusion and HPs strategies and vision to introduce a new era of digital manufacturing.
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print services. hp technology, 3d printing, printer, digital manufacturing, printing solution, digital materials, production software, 3d technology
    
HP Inc.
Published By: Google     Published Date: Aug 09, 2017
The business worlds focus on machine learning (ML) may seem like an overnight development, but the buzz around this technology has been steadily growing since the early days of big data.
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machine learning, big data, analytics, data analytics
    
Google
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Available as a rack-mounted, hardened hardware appliance, an Open Virtualization Format (OVF) Virtual Appliance or an Amazon Machine Instance (AMI), CA Privileged Access Manager enhances security by protecting sensitive administrative credentials, such as root and administrator passwords, controlling privileged user access and proactively enforcing policies and monitoring and recording privileged user activity across all IT resources.
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identity management, privileged user access, secure privileged credentials, secure hybrid it
    
CA Technologies EMEA
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone from individual consumers to large corporations In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiservs Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: Global payment initiatives Open Banking standards Artificial intelligence and machine learning Consumer demand for real-time fraud prevention and detection
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: TE Connectivity     Published Date: Apr 13, 2018
Whether youre 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 Connectivitys (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 youre designing-in for the latest door alarms and pressure sensors, TE has the essential products you need for always-on connectivity.
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power, signal, connect, solutions, display, workplace, industrial
    
TE Connectivity
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine datathe largest category of big datawhich is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organizations environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT teams needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
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devops, devops tools, continuous delivery, devops methodology
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartners report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software. As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences. Download the e-book to learn how: Micron Technology reduced number of IT incidents by more than 50% Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events TransUnion combines machine data from multiple applications to create an end-to-end transaction flow
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it cant How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: Workday APAC     Published Date: May 08, 2019
As your organizations finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analyticspowered by digital technologies, such as automation and machine learninggive finance teams deeper business insights. Read the story.
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Workday APAC
Published By: Stratasys EMEA     Published Date: Feb 21, 2019
Factory production lines know the right jig or fixture speeds production, which increases productivity. But thats just the beginning. Well-designed tools are more ergonomic, offering both increased worker safety and productivity, as well as cost savings. Traditional machining produces heavy, costly, multi-piece tools that become an even greater liability as repetitive motion injuries erode line productivity with worker disability. Redesign means even more protracted timelines for machined parts. While essential to efficiency, accuracy and safety, jigs and fixtures are often considered a necessary evil in the overall production process. Costly, protracted timelines for machined jigs and fixtures are the culprit here, especially for the often complex designs necessary to meet unique part needs. This, along with certain complex designs that simply cannot be manufactured using traditional methods are a reality on the production floor. But there is a better way. 3D printed jigs and fixture
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Stratasys EMEA
Published By: Beqom     Published Date: Jun 14, 2019
New Techniques That Will Drive Revenue in 2019 If youre ready to move beyond simple calculations and realize the vast potential of data driven selling, youre ready to explore the next generation of SPM platforms. Download the report to learn how the modern technologies like Artificial Intelligence and Machine Learning, can give your sales reps a roadmap to better performance and give sales management insights that will enable them to achieve more profitable sales.
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Beqom
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
Stream is GFTs architectural framework on GCP that enables real time processing and analysis of structured and unstructured data using AI and Machine Learning (ML) to extract intelligence from data.
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GFT USA, Inc.
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
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