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Published By: Juniper Networks     Published Date: Oct 19, 2015
Datacenters are the factories of the Internet age, just like warehouses, assembly lines, and machine shops were for the industrial age. Over the course of the past several years, riding the wave of modernization, datacenters have become the heart and soul of the financial industry, which each year invests over $480 billion in datacenter infrastructure of hardware, software, networks, and security and services.
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juniper, datacenter, threat, ciso, enterprise, data, customer
    
Juniper Networks
Published By: Sierra Wireless     Published Date: May 08, 2019
With Octave TM, Sierra Wireless went a step further and takes care of the secure device to cloud infrastructure OEM need, so that washing machine manufacturers can focus on what really matters for their business: acting on their equipment data to create new services. Octave is an all-in-one D2C platform optimized for cellular IoT, including intelligent edge, wireless network connectivity, and unique data orchestration and device management capabilities. To find out more download today!
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Sierra Wireless
Published By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet. Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
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digital, technologies, optimization, amazon
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Feb 01, 2018
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go. Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
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machine learning, algorithms, interal systems, amazon
    
Amazon Web Services
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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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
    
Splunk
Published By: Dell Windows Server     Published Date: Jan 16, 2009
NetBenefit is a leading provider of managed hosting services in the United Kingdom. Faced with ever more expensive London data center costs, the company decided to implement the Windows Server 2008 operating system featuring Hyper-V virtualization technology to give it the ability to create competitively priced entry-level virtual machines to complement its existing managed hosting services.
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dell, netbenefit, managed hosting services, data center costs, windows server 2008, hyper-v, virtualization technology, virtual machines
    
Dell Windows Server
Published By: Schneider Electric     Published Date: May 03, 2018
Before creating new technologies, we must think about how to create the right values to be also able to sell it. All the technology that is required for “Industry 4.0” is available today already, so in fact Industry 4.0 can be seen more than an innovation driver for new businesses that are not exploited today, than an innovation driver for technology. If these existing technologies are assembled properly together and combined with the right business models, there is really good chance to profit from Industry 4.0. This white paper looks into the ways one can profit from Industry 4.0 by differentiating through new business models.
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smart machines, industry 4.0, smart factory, iiot, opc ua, data, analytics, machine services
    
Schneider Electric
Published By: ServiceNow     Published Date: Jul 09, 2015
Modern IT requires an evolved approach to orchestration – one that erases the barriers separating people, process and technology. Modern IT also demands tools, including orchestration, that promote action and agility. Without high levels of automation, virtual machines and cloud services will quickly grow out of control. IT organizations choose evolved orchestration to deliver business agility while also maintaining control. This white paper describes how ServiceNow Orchestration empowers IT organizations to do all of this and more.
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ServiceNow
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: HERE Technologies     Published Date: Apr 04, 2019
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
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location data, ad tech, location targeting
    
HERE Technologies
Published By: ServiceNow     Published Date: Nov 05, 2012
Without high levels of automation, virtual machines and cloud services will quickly grow out of control. An evolved approach to automation erases the barriers between people, process and technology and drives more efficiency into the business.
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runbook automation, servicenow, complex procedures, business agility, business technology
    
ServiceNow
Published By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
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incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
    
Schneider Electric
Published By: Infor     Published Date: Feb 27, 2007
For industrial equipment and machinery manufacturers, performance requires delivering products that exactly meet customer specifications along with complementary services. Manufacturers have made impressive improvements in productivity, cycle times and quality on the plant floor. But costs can remain unnecessarily high because of delays, changes or estimating errors.
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supply chain management, scm, productivity, manufacturing, enterprise resource planning, erp, infor
    
Infor
Published By: Business Software     Published Date: May 28, 2013
Job shops often specialize in a particular metal fabrication, or a specialization around certain types of products, like fasteners or machined bar stock. They provide unique services for larger manufacturing operations such as working with unique materials, incredibly tight tolerances, the ability to generate quickly manufactured prototypes, design and CAD assistance, reverse engineering, quick-turn parts, in-house tooling, amongst other services. Some typical job shop operations include: • Machine Builders • Tool and Mold Shops • Plastic Processors • Stamping Houses • Contract Cutters and Engravers • Vehicle and Boat Converters • Niche Product Manufacturers • Furniture, Cabinet, and Display Makers
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top 10 job shop vendors, metal fabrication, fasteners, machine builders, stamping houses, business software
    
Business Software
Published By: Riverbed     Published Date: Jul 17, 2013
Your business is complex. Big data promises to manage this to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, causing delays and downtime. Forrester predicts this will worsen. To combat this onslaught, you need machines to analyze conditions to invoke automated actions. To perform adaptive automation, you need IT analytics, a disruption to your monitoring and management strategy. This report helps leaders prepare for IT analytics that turn big data efforts inward to manage the technology services that run your business. Register to get the full report.
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analytics, big data, forrester
    
Riverbed
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: Symantec     Published Date: Jul 29, 2013
Because of the outstanding economy, flexibility, and service levels it offers, virtualization is transforming data centers at breakneck speed: by 2016, an estimated 80 percent of the world's x86 servers will be Virtual Machines (VMs). But the speed of this transformation, along with the high resource utilization, ease of cloning, moving workloads, and other ways virtualization works its magic, raise challenges for “traditional” IT services and the teams that deliver them.
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architect, deduplication, virtual machines, symantec, enterprise, technology, server, virtualization
    
Symantec
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance
Published By: Puppet     Published Date: Aug 03, 2016
After you set up your users and groups, the next thing you’ll want to do is configure the software running on your machines. In this webinar, you’ll get a taste of the many kinds of services and packages Puppet can manage on Windows. We’ll present some common use cases that will help you get some quick wins under your belt, including: - Managing Windows services (Windows Time, Disk Defragmenter, etc.) - Installing packages - Managing Windows maintenance tasks via WMI by executing arbitrary PowerShell code - Creating scheduled tasks in the Task Manager Puppet can do a lot, but we always recommend starting small and building on your success. Make 2016 the year you banish manual configuration for good!
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Puppet
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