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Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Finding the Best Set of Options as You Modernize Your IT Infrastructure"
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"Finding the Best Set of Options as You Modernize Your IT Infrastructure"
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Hewlett Packard Enterprise
Published By: Akamai     Published Date: Apr 10, 2015
Enterprise network architectures are evolving as a result of the growth of public cloud, proliferation of mobile devices, and organizational requirement to collaborate with global users. In this on-demand webinar, Gartner Research VP and Distinguished Analyst Mark Fabbi and Akamai Technologies' Enterprise Web Experience Product Manager, Greg Lord, will provide insight into this new trend.
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akamai, web performance, cloud services, network management, cloud networking, digital enterprise
    
Akamai
Published By: HPE Intel     Published Date: Mar 09, 2016
State agency and higher education CIOs are under intense pressure to modernize their legacy IT systems. Whether that requires moving from one infrastructure to another, or moving to or from the cloud, the chief challenge remains: How to migrate data and applications without disrupting critical operations, ensure improved performance and avoid pricing and other traps that often accompany virtualizing in the cloud. Learn what’s made the difference in overcoming the impediments to workload migrations from IT leaders who’ve lived through big data and application moves. Topics include: Preparing workloads for cloud on-boarding – and off-boarding Tools for simplifying the consolidation and migration of apps and supporting services Forecasting workloads, and planning for associated testing, training, and other costs
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HPE Intel
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
After several years of relentless hardware and software innovation, the mainframe is at an inflection point from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. Organizations are evolving toward what IDC calls the “connected mainframe.” The platform is transforming from a revenue-supporting machine into a revenue-generating machine and is increasingly playing a central role in organizations’ digital transformation (DX) journey. Key steps in achieving the connected mainframe require organizations to modernize and integrate the platform with their internal and external environments. IDC finds that these modernization and integration initiatives lead to new business innovations, which in turn are driving revenue growth and improving organizational operational efficiency.
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Group M_IBM Q418
Published By: Oracle     Published Date: Sep 25, 2019
Research shows that legacy ERP 1.0 systems were not designed for usability and insight. More than three quarters of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans 1. These systems lack modern best-practice capabilities needed to compete and grow. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. Oracle’s goal is to help you navigate your own journey to modernization by sharing the knowledge we’ve gained working with many thousands of customers using both legacy and modern ERP systems. To that end, we’ve crafted this handbook outlining the fundamental characteristics that define modern ERP.
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Oracle
Published By: Oracle     Published Date: Jan 12, 2017
In this eBook you will learn: Why the time is right to modernize your ERP Best practices in deploying a modern ERP system Why Oracle is your best choice for a modern ERP cloud
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Oracle
Published By: Oracle     Published Date: Jan 17, 2017
In this eBook you will learn: Why the time is right to modernize your ERP Best practices in deploying a modern ERP system Why Oracle is your best choice for a modern ERP cloud
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Oracle
Published By: Oracle     Published Date: Jul 31, 2017
More than 75% of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. To help you navigate your own journey to modernization, we’ve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
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Oracle
Published By: Oracle     Published Date: May 03, 2018
More than 75% of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. To help you navigate your own journey to modernization, we’ve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
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guide, erp, operation, data, organization, company
    
Oracle
Published By: Oracle     Published Date: May 15, 2018
More than 75% of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. To help you navigate your own journey to modernization, we’ve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
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Oracle
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
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