machine services

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Published By: Intel     Published Date: Aug 17, 2017
5G will be a transformative force, offering enhanced mobile broadband and enabling a huge volume of machine to machine communications, based on its ultra-reliable, and low latency network. For comms service providers it puts them in a strong position to offer new services, including in the Internet of Things (IoT), visual computing, analytics, and enhanced mobility.
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Intel
Published By: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVE’s annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organization’s use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, it’s crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCO’s Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks’ digital transformation needs.
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artificial intelligence, machine learning, financial services, retail banking
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights, banking
    
TIBCO Software
Published By: VMware     Published Date: Feb 26, 2009
VMware Virtual Infrastructure and CA Recovery Management (CA ARCserve Backup and CA Xosoft products) team up to deliver higher availability and risk-resistance for business-critical information and applications, while lowering management and operational costs and complexity.
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vmware, it infrastructure, virtual infrastructure, ca recovery management, business critical information, business continuity, disaster recovery, high availability, operational costs, virtual infrastructure, multi-processor support, virtual machines, disk-to-disk-to-tape, multiple operating systems, value-enhancing services, storage
    
VMware
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: AWS     Published Date: Jun 07, 2019
Watch this webinar to learn how Slalom helped Veripad enhance the accuracy of their machine learning models using AWS services. Together they helped health professionals detect fraudulent medications more accurately than the human eye.
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AWS
Published By: AWS     Published Date: Jun 11, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
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: 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: 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: 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: NEC     Published Date: Aug 12, 2014
Server virtualization is revolutionizing the datacenter by making applications mobile, increasing application uptime, and allowing IT admins to allocate computing resources more efficiently. The technology has been deployed widely enough that the role of the computer server has evolved from directly hosting operating systems and applications to hosting fully virtualized environments. Server that can support more virtualized machines (VMs - complete application stacks) allow their users to gain higher return on their IT investments. Private Cloud can extend the virtualization benefits in ways that broaden the benefits of virtualization to all parts of the organization. In this white paper, you will learn how Corporate IT uses these tools to meet the increasing demand for IT services.
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tier 1, cloud, machines, datacenter, servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability, enterprise, availability, serviceability, processor
    
NEC
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, revenue models, business models, industrial automation
    
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: 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, data protection, backup, recovery, system security, system management, it management, storage, data management, business technology
    
Symantec
Published By: IBM     Published Date: Jan 09, 2014
In a world that demands scalability, modularity, quality, fast performance and a best practices approach is key to ensuring predictable results for the business. IBM’s PowerLinux Open Source Infrastructure Services solution is a workload-optimized system that meets or exceeds best practices for a virtualized infrastructure at a reasonable price point. The PowerLinux solution can help turn today’s IT infrastructure into a well-tuned utility, providing a more flexible, scalable and valuable asset to the business.
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best practices, virtualized infrastructure, powerlinux, open source, virtualized infrastructure, hurwitz white, infrastructure page, source infrastructure, virtual machines, infrastructure services, ibm powerlinux
    
IBM
Published By: Dell EMC     Published Date: Dec 01, 2017
A common misconception about hyperconverged infrastructure (HCI) is that because data services are software-defined, the hardware doesn’t matter. It’s easy to see why—the software driving HCI solutions such as the Dell EMC XC Series (in this case, Nutanix software) is exceptional. It efficiently manages data and communications across a cluster of nodes and storage tiers, keeping the cluster and virtual machines (VMs) up and running, delivering optimal performance and availability. Software-defined infrastructure is changing the way data services are delivered, making companies more efficient and agile, and reducing costs. Download the study to learn more about the latest trends. Intel Inside®. New Possibilities Outside.
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Dell EMC
Published By: Oracle     Published Date: Mar 22, 2019
Argyle CIO Webcasts, in partnership with Oracle, brings together top IT executives for an innovative, discussion-based webcast exploring the promises and perils of transformational technologies on the financial services industry.
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Oracle
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: Rackspace     Published Date: May 28, 2019
Today, it isn’t a matter of if you’re taking SAP to the cloud – but a matter of when, and how you’re going to make it happen. Because by moving your SAP workloads to the cloud, you are putting them together with other data streams, advanced analytics and machine learning, to create a powerful combination to better engage customers, empower employees, optimize operations and transform products. This e-book introduces Rackspace as the managed cloud service provider to partner, for moving SAP workloads to Azure. Being certified in all the leading SAP technologies, including hosting services, HANA Operations and HANA Enterprise Cloud (HEC) – and having been awarded Microsoft Hosting Partner of the Year five times – Rackspace has got the whole SAP on Azure solution covered, from planning to deployment and ongoing management. Check out the case studies of global companies, like Rockwell Automation, The Mosaic Company, Malaysia Airlines and Coats & Clark, to discover how they have benefi
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Rackspace
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