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data support

Results 201 - 225 of 507Sort Results By: Published Date | Title | Company Name
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Amazon Web Services     Published Date: Feb 01, 2018
Moving Beyond Traditional Decision Support Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
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predictive, analytics, data lake, infrastructure, natural language processing, amazon
    
Amazon Web Services
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Your goal is high availability for the applications, databases, virtual machines (VMs), servers, and data that run your business. When access is lost or interrupted, recovery speed is critical, and must be measured in minutes and seconds, not hours of days. And if your backup and recovery strategy includes point solutions with limited coverage, legacy approaches that don't support today's modern technologies, or manual proc cesses that are time-consuming and complex, you may not be ready when disaster strikes.
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Commvault ABM Oct
Published By: Oracle     Published Date: Mar 22, 2019
Our research reports on the 2,000 executives from the marketing community, across 22 markets, who agreed that innovation drives growth. However, barriers to innovation remain significant, ranging from isolation within the business, to a lack of insight into the data, and absent support from leadership in 24% of cases, and data remains the second largest issue for marketing with a 10% gap. New technologies help harness data, demonstrate how innovation will benefit teams and businesses, and help CMOs create a successful innovation agenda. Read the report
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Oracle
Published By: IBM APAC     Published Date: Mar 19, 2018
Unstructured data has exploded in volume over the past decade. Unstructured data, media files and other data can be created just about anywhere on the planet using almost any smart device available today. As the amount of unstructured data grows exponentially, customers using this data need to be able to take advantage of the right storage solutions to support all of their file and object data requirements. IBM® recently added a new storage system to their Spectrum product family, IBM Spectrum Network Attached Storage (NAS). IBM Spectrum NAS adds another software-defined file storage system to IBM’s current unstructured data storage solutions, IBM Spectrum Scale™ and IBM Cloud Object Storage (COS). Below, we will discuss the three systems and supply some guidance on when and where to use each of them.
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IBM APAC
Published By: Dell Storage     Published Date: Apr 21, 2011
This white paper describes how Fluid Data storage reduces the capacity required to support VMware, maximizes system performance and efficiency, accelerates storage provisioning, simplifies resource management and streamlines disaster recovery.
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dell compellent, vmware server virtualization, compellent san, virtualized storage platform, fluid data storage, system performance, resource management, disaster recovery
    
Dell Storage
Published By: Dell Storage     Published Date: Nov 08, 2011
This white paper describes how Fluid Data storage reduces the capacity required to support VMware and maximizes system performance and efficiency.
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dell compellent, vmware server virtualization, compellent san, virtualized storage platform, fluid data storage, system performance, resource management, disaster recovery
    
Dell Storage
Published By: Epicor     Published Date: Jun 22, 2017
Professionals in the lumber and building materials (LBM) industry know that getting the job done right is all about having the right tools. Lumber and business materials manufacturers and distributors need intuitive software that’s smart enough to simplify the complexities of your business, leverage data to gain valuable sales insight, and deliver exceptional customer service. Epicor BisTrack software is uniquely optimized to help LBM retailers, pro dealers, and distributors grow your business. Learn about the LBM industry-specific functionality that BisTrack offers, like: • Supporting pro dealers and distributors • Optimizing inventory and purchasing • Managing and tracking customer relationships • Improving delivery dispatch efficiency • Introducing mobility and mobile access Take the tour today to see how Epicor BisTrack can help your business.
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: Lenovo     Published Date: Sep 16, 2014
Agency IT is tasked with building smarter and more responsive state and local government services, while CTOs look to enable government workforce mobility and address strategic issues, such as BYOD. Adding to the challenge is a rise in devices, data, and even multiple OS’s that IT must support and secure. With the decline in traditional Windows-based computing, these challenges are driving agencies toward cloud solutions that don't sacrifice security or IT manageability. See our featured cloud solution for government agencies that has IT leaders re-thinking how they enable mobile productivity.
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agency it, workforce mobility, mobile productivity, cloud computing, it management
    
Lenovo
Published By: Teradata     Published Date: Feb 04, 2015
The Enterprise Priorities in Digital Marketing report, produced by Econsultancy in partnership with Teradata, provides guidance for the future through specific benchmarks from digital marketing leaders at enterprise organizations. The report focuses on the technology priorities of the world's largest companies, the strategies they support and the marketing budgets with which they're aligned. The report is based on an international survey of 402 senior marketers (director and above) from global enterprises. Respondents were from companies with more than $500 million in revenue, with 56% having revenues over $3 billion.
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teradata, marketing, strategic direction, attribution, cloud, application, audience, management, conversion, data, platform, social, tag, content, email, technology, digital, retention, media, measurement
    
Teradata
Published By: BlackLine     Published Date: Aug 06, 2018
BlackLine Account Reconciliations drives financial close accuracy by automating and standardising the reconciliation process. Quickly import transactions and balances from any ERP and compare it to source data to ensure completeness and accuracy. Automatically identify differences and focus your attention on discrepancy research and resolution. Consolidate all comments and supporting documents in one centralised repository, and gain visibility into your reconciliation process. Eliminate the manual financial close process and work smarter with BlackLine’s automated account reconciliation system.
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BlackLine
Published By: Oracle     Published Date: Feb 21, 2018
Organizations like yours are creating and collecting more valuable information than ever before, and this new data is critical to your business. Increasingly, your business demands a high-availability database platform built to support complex, mission-critical workloads.
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Oracle
Published By: Oracle     Published Date: Feb 21, 2018
Why should I move my database to the cloud? Have you considered how you will support • Growing demand for data delivery securely from anywhere? • Managing new data whilst maintaining old? • Rapidly scaling your infrastructure as your business needs? Oracle Database Cloud is the #1 data-management solution in the cloud to empower you to deliver more value at scale, faster.
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Oracle
Published By: VMware     Published Date: May 10, 2017
What is a digital workspace and what does it take to create one? If we break it down, the workspace is a portal for end users into all of their apps and online services that they canseamlessly and securely access across devices and locations. But what makes the workspace of today different from the desktop or mobile device of the past? And how can you move forward with delivering a digital workspace? Download this solution brief to learn how VMware® Workspace™ ONE™is designed to deliver a digital workspace that integrates device management, application delivery, and identity management into a single platform on your terms, via your data center, in the cloud, or through a combination of the two. This workspace can be accessed by your end users across devices and locations and be centrally secured and supported to streamline management and improve the quality of services you deliver across the entire organization.
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VMware
Published By: Juniper Networks     Published Date: Aug 08, 2017
Facing the future requires enterprises to embark on a digital transformation, employing new technologies such as AI, big data, IoT, and the cloud. Enterprises need a long-term, trusted partner who will support them on their journey and understand their vision. Switch to Juniper Networks and align your enterprise with an innovation leader that places scalable solutions, high availability, productivity, security, and R&D at the forefront, all while keeping simplicity and savings in mind.
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
How will you choose a network solution for your data center to deliver the right blend of performance and cost efficiency? Performance isn’t just throughput. It’s also the intelligence to support your applications with a high quality of experience.
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Juniper Networks
Published By: Juniper Networks     Published Date: Feb 05, 2018
Data center requirements are shifting as the business environment evolves to leverage new technologies. Organizations are turning to multicloud environments comprising a mix of private cloud, public cloud, and on-premise infrastructure to best address their unique needs. Understandably, this shift is putting a renewed emphasis on security, automation, orchestration, and agility. IT leaders are responding by building and deploying multicloud data center networks that leverage automation and software-defined networks (SDN) as a cost effective means of providing dynamic network control. Of course, while many organizations are recognizing the need for a data center upgrade, not all have the same drivers. All, however, need to make a business case for the investment. Here are four common inflection points that can help you to justify the need for data center upgrades that support business goals.
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network, performance, data, security, efficiency, iot
    
Juniper Networks
Published By: XpertHR     Published Date: Jun 13, 2018
A renewed focus on pay equity at the state and federal levels, coupled with the power of movements like #MeToo and #TimesUp, have companies and their HR/compliance representatives dusting taking a deep dive into pay practices to ensure equity for all. Recent lawsuits settled in favor of plaintiffs, and activist call-outs for companies to be more equitable and transparent about pay practices, add fuel to the fire: ? Seven female law professors at the University of Denver won a $2.6 million settlement in May ? Activist investor Arjuna Capital is pushing major tech firms to publish data to support equitable pay practices ? Google is facing a class action battle over equitable pay practices That’s just the tip of the iceberg. If you’re not on top of this critical issue, you could be next on the list of companies facing legal and public scrutiny. XpertHR can help you wade through the regulatory requirements and practical considerations to audit and revise, as necessary, your pay practices.
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pay equity, equal pay, gender equality, #metoo, #timesup, pay practices, compliance, fair pay
    
XpertHR
Published By: HP Inc.     Published Date: Jun 20, 2019
Reduce costs and increase efficiency under the new "as a service" model: Research findings from IDC To understand the true value of adopting the as-a-service model, International Data Corp. (IDC), a market intelligence provider, conducted an HP-sponsored survey of organizations with at least 750 end-user devices across nine countries, and found that device management services can curtail costs, reduce IT workload and support a more streamlined and efficient way of doing business.
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HP Inc.
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
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