machine services

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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: 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
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
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: SAP     Published Date: Sep 28, 2018
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.
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customer experience & engagement, digital transformation, sap
    
SAP
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: 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: 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: 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: 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: 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: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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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: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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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: 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, 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
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 data—the largest category of big data—which 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: 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: 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: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
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