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.
Published By: Cisco EMEA
Published Date: Mar 26, 2019
Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally. As a result, customers are asking more questions during the buying cycle about how their data is captured, used, transferred, shared, stored, and destroyed. In last year’s study (Cisco 2018 Privacy Maturity Benchmark Study), Cisco introduced data and insights regarding how these privacy concerns were negatively impacting the buying cycle and timelines. This year’s research updates those findings and explores the benefits associated with privacy investment.
Cisco’s Data Privacy Benchmark Study utilizes data from Cisco’s Annual Cybersecurity Benchma
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. And with nearly all smartphones equipped with geolocation abilities, advertisements can be made location-aware with improved precision for targeting. Understanding location is key to gaining improved insights.
HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them to provide well-timed and relevant advertising.
Published By: Dell EMC
Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to:
• Improve productivity of internal applications
• Increase revenue through enhanced customer interacton and improved customer acquisiiton
• Reduce costs by optimizing operations
• Enhance products and services with "smart" functionality such as vision and voice interaction and control
This paper provided by Dell and Intel® gives executi
While enterprises continue to own and operate in-house datacenters, their use of colocation and other outsourcing services is growing fast. Demand for colocation and wholesale datacenters, with their readily available space and power, their professional operations teams and, increasingly, their rich connectivity and value-added offerings, has never been stronger. 451 Research forecasts that the operational square footage of the global colocation and wholesale sector will grow at a healthy 7% CAGR from 2017 to 2020.
Published By: Gigamon
Published Date: Mar 26, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists
Comdata Group is one of the world's largest business process outsourcing (BPO) providers. It operates hundreds of call-centers around the globe, with tens of thousands of employees offering, a variety of services, including sales and customer service.
In a competitive BPO market, Comdata was looking for ways to increase the productivity and efficiency of its agents. It looked for a unified solution that would successfully engage employees, drive higher accountability and better focus them on their performance.
Using Gameffective's platform, Comdata deployed gamified, real-time performance management. This process provides employees with the ability and motivation to self-track their performance against goals and benchmarks, and offers just-in-time coaching based on their needs. The results were impressive: 12% increase in sales per hour, and significant reductions in both new-hire learning curves and in ongoing training time.
Read the case study to learn how Comdata:
The arrival of 3rd party data is changing the landscape of online targeting. There is an influx of companies offering these services. But, what works with your business model? How do you evaluate the options?
THE QUESTIONS YOU NEED TO KNOW AND WHY:
• Is there high fidelity data?
• Is the provided data stable?
• Is your partner built to last?
• Does your partner use a transparent methodology?
Download our guide to evaluating data providers and find out the importance and relevance of these terms and conditions.
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
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.
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.
This is an at-a-glance guide to the key innovation trends in fleet management that leverage location data to improve last-mile efficiency and road safety. Presented to you by HERE, one of the world’s leading location platforms in 2019.
The new Multicloud Storage for Dummies consists of five short chapters that explore the following:
- How the multicloud storage model aligns with modern business and IT initiatives
- Common barriers to cloud adoption and how a multicloud storage model addresses them
- How to build a multicloud data center
- What to look for in multicloud storage services
- Real-world multicloud use cases
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.
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge.
At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data.
HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business.
Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
Published By: HPE Intel
Published Date: Mar 14, 2016
The ever-rising tide of demands on IT organizations is creating constant pressure on their leaders to upgrade or replace their outmoded legacy systems with new infrastructure technologies that will allow them to keep pace with the speed of business. It is no longer sufficient to manage basic business applications and resources such as ERP, email, and silos of heterogeneous data. The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
Published By: HPE Intel
Published Date: Mar 15, 2016
To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.
Published By: HPE Intel
Published Date: Mar 15, 2016
Accelerate your journey to an all-flash data center with Hewlett Packard Enterprise Storage Consulting solutions.
Slash costs and double performance with HPE 3PAR StoreServ All-flash arrays. Now you no longer need to choose which apps to take to flash; take them all and you won’t regret it. We deliver maximum performance, highest availability, Tier-1 data services, ease of management, and robust data protection at the lowest total cost of ownership (TCO) on the market when you engage with HPE Storage Consulting to provide an end-to-end all-flash solution.
To overcome the challenges and risks of the digital era, while positioning their businesses for success, SMBs need to partner with professional services organizations with the expertise that can safely guide them through achieving the following six key IT business initiatives:
A strong information security framework (for external and internal threats)
24x7 application availability
Pervasive, end-to-end data protection
End-to-end professional services
Enterprises are looking to innovations like big data, cloud-based services and mobile apps to improve decision making and accelerate business results. But legacy IT implementations—independent compute, storage and networking platforms, veneered with a hypervisor— often can’t deliver on the increased agility, scalability and price performance demands of this new era of IT.