Even as the move to electronic health records (EHR) progresses in earnest, there are a myriad of challenges involving legacy data systems. Chief among these challenges is the cost of maintaining obsolete systems solely for the patient information they contain. When up to 70% of a typical IT budget is spent on maintaining the current IT infrastructure and application portfolio, organizations have little left to invest in much-needed innovation. According to a recent HealthLeaders Media Survey, many organizations are still adjusting after their migration to a new EHR system. Hospitals need to get a better grasp on all forms and sources of data that they have—and the data they don’t yet have—so that the right information can be delivered to the right individual, and in the right context, at the point of care.
The Secure Data Center is a place in the network (PIN) where a company centralizes data and performs services for business. Data centers contain hundreds to thousands of physical and virtual servers that are segmented by applications, zones, and other methods. This guide addresses data center business flows and the security used to defend them. The Secure Data Center is one of the six places in the network within SAFE. SAFE is a holistic approach in which Secure PINs model the physical infrastructure and Secure Domains represent the operational aspects of a network.
Ransomware is not going away. This makes it imperative for businesses across all industries to adopt a data management strategy of multi-layered security, easy automation, and quick recovery. To learn more about Rubrik and how it can ?t into your ransomware protection strategy while simplifying data protection across your entire datacenter, visit www.rubrik.com. As the leading next-generation data protection solution, Rubrik deploys as a plug-and-play appliance in less than an hour and has been adopted across all verticals and organization sizes including Fortune 50 companies.
Backup and recovery needs a radical rethink. When today’s incumbent solutions were designed over a decade ago, IT environments were exploding, heterogeneity was increasing, and backup was the protection of last resort. The goal was to provide a low cost insurance policy for data, and to support this increasingly complex multi-tier, heterogeneous environment. The answer was to patch together backup and recovery solutions under a common vendor management framework and to minimize costs by moving data across the infrastructure or media.
Published By: Dell EMC
Published Date: Feb 14, 2019
Technology is quickly moving to the forefront as organizations undertake digital and IT transformation projects that enable strategic differentiation in a world where users are leveraging applications and data in new ways. The reality is, most organizations were not born digital but instead have legacy business processes, applications, and infrastructure that require modernization and automation. Read this executive summary from Dell and Intel® to learn why businesses must embark on IT transformation to modernize and automate their legacy infrastructure and prime themselves to achieve their digital business goals.
Intel Inside®. Powerful Productivity Outside.
Published By: Gigamon
Published Date: Mar 26, 2019
Download “How to Strengthen Security While Optimizing Network Performance” to see how next-generation network packet brokers (NGNPBs) mitigate security tool sprawl, simplify IT management and improve network availability. NGNPBs help align network and security teams by creating a single view of network infrastructure and data management. See why you should shift your infrastructure strategy toward NGNPBs to boost efficiency and reduce complexity. Learn more by downloading this new research now.
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
Published By: DataCore
Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the business’s digital pursuits. The increased pressure on IT has amplified complexity, as well—66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1
Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights.
By watching this webinar, you'll learn:
- Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business
- Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center
- Gain insights that can drive your AI infrastructur
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
The average computer room today has cooling capacity that is nearly four times the IT heat load. Using data from 45 sites reviewed by Upsite Technologies, this white paper will show how you can calculate, benchmark, interpret, and benefit from a simple and practical metric called the Cooling Capacity Factor (CCF).
Calculating the CCF is the quickest and easiest way
to determine cooling infrastructure utilization and
potential gains to be realized by AFM improvements.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
Your business is changing. As a finance leader, you know that accounting is a labour-intensive, costly process where
systems often don’t allow for expedient exception handling and many days are fraught with difficulty in matching
invoices to other databases for reconciliation. Like most companies, you know where you want to go but may not have
infrastructure or internal expertise to handle electronic fund transfers, credit card payments or cheque processing— all
the pieces required to make your vision for an efficient, integrated operation a reality.
Edison has followed the development and use of Cisco’s Application Centric Infrastructure (ACI) over the past five years. Cisco ACI delivers an intent-based networking framework to enable agility in the datacenter. It captures higher-level business and user intent in the form of a policy and translates this intent into the network constructs necessary to dynamically provision the network, security, and infrastructure services.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
At the heart of the Data Solved promise are three core attributes - People Powered, Technology Focused and Infrastructure Invested. We leverage our strong, diverse team of more than 700 employees to enable our Powered by People motto and deliver on our promise. With 24 data centers on four continents, we are poised to deliver world-class infrastructure and value added technology services to our more than 1,000 customers in North America, Europe, Asia and Australia.
The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
Powerful IT doesn’t have to be complicated. Hyperconvergence puts your entire virtualized infrastructure and advanced data services into one integrated powerhouse. Deploy HCI on an intelligent fabric that can scale with your business and you can hyperconverge the entire IT stack. This guide will help you: Understand the basic tenets of hyperconvergence and the software-defined data center; Solve for common virtualization roadblocks; Identify 3 things modern organizations want from IT; Apply 7 hyperconverged tactics to your existing infrastructure now.
"IT needs to reach beyond the traditional data center and the public cloud to form and manage a hybrid connected system stretching from the edge to the cloud, wherever the cloud may be. We believe this is leading to a new period of disruption and development that will require organizations to rethink and modernize their infrastructure more comprehensively than they have in the past.
Hybrid cloud and hybrid cloud management will be the key pillars of this next wave of digital transformation – which is on its way much sooner than many have so far predicted. They have an important role to play as part of a deliberate and proactive cloud strategy, and are essential if the full benefits of moving over to a cloud model are to be fully realized."
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data.
Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results.
Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets.
Oracle has a better way. Download this whitepaper to f
Published By: Cisco EMEA
Published Date: Nov 13, 2017
As BluePearl’s business continues to grow and its strategy evolves, its investment in Cisco® technology is protected. When BluePearl moves to a centralized data center in the near future, all Cisco HyperFlex nodes can still be managed as one integrated infrastructure.
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
FRONTEO provides end-to-end project management, litigation consulting and eDiscovery
solutions for a global base of law firms and corporations. To meet clients’ critical
information needs, the business requires connectivity and data center solutions that can
process, access and interpret terabytes of sensitive data—reliably and at top speeds.
Get actionable insights from experts at FRONTEO and learn how switching to a
high-performance Ethernet solution from Spectrum Enterprise can deliver security
and reliability across your network and IT infrastructure.