In today’s technology-driven world, a financial services organization’s ability to evolve the business quickly depends on the network. MetaFabric architecture, which is the foundation of Juniper’s unique end-to-end data center networking solution, helps financial services firms respond confidently to whatever happens in the market.
With an open, simple, and smart network in place, organizations can adapt quickly and seamlessly to changing requirements while eliminating the disruptions of forced upgrades and unnecessary purchases that come with vendor lock-in. Most importantly, the MetaFabric architecture helps companies stay at the forefront of innovation, keeping them one step ahead of the competition.
The digital financial services world has created an amplified set of challenges for the data center and network. Its role in enabling the success of the wider institution has become even more critical, but to deliver this it needs to provide a higher level of performance with increased agility, while maintaining high levels of efficiency and security.
This is forcing institutions to transform their underlying IT capabilities, with the need to simplify the network, obtain more flexible connectivity, automate IT operations, and enable centralized control and administration being core strategies in this respect. As shown in Figure 8, this is driving a number of requirements for the future network. Key considerations for financial institutions in architecture design and vendor selection should be around moving toward a software-defined, intelligent, cloud-ready, and open network that enables the institution to meet its ICT imperatives and achieve these key ICT strategies.
Businesses increasingly recognize that their customers and workers are engaging in ways that were inconceivable when their essential applications were first architected, according to Chris Rechtsteiner, vice president of marketing for ServerCentral. “A group in one country has to have the exact same service levels as a location in another country, and half the people are internal end users, while the other half are external customers,” he says.
As their businesses have globalized, their most strategic applications have struggled to keep pace. “Companies are coming to us, asking ‘How do we do this? How do we solve this problem?’ That’s really what it comes down to.”
This study was conducted with independent global research firm Wakefield Research between November 24 through December 14th, 2015. The data was based on an online study of 20 content questions, plus screeners and demographics of 2704 respondents, in 8 markets: US, China, Australia, Japan, India, UK, Germany, and France. All respondents were restricted to the following industries: service provider organizations, healthcare, retail, and financial services. In this case, the definition of service provider includes companies offering web content services, cable, internet service providers, or telecom.
Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. Our team co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value.
Visit www.juniper.net for more information.
This document is targeted at networking and virtualization architects interested in deploying VMware NSX network virtualization in a multi-hypervisor environment based on the integrated solution from VMware and Juniper.
VMware’s Software Defined Data Center (SDDC) vision leverages core data center virtualization technologies to transform data center economics and business agility through automation and non disruptive deployment that embraces and extends existing compute, network and storage infrastructure investments. NSX is the component providing the networking virtualization pillar of this vision. As a platform, NSX provides partners the capability of integrating their solution and build on the top of the existing functionalities. NSX enables an agile overlay infrastructure for public and private cloud environments leveraging Juniper’s robust and resilient underlay infrastructure that also helps bridge the physical and virtual worlds using the L2 gateway functionality.
The ongoing success of 7ticks depends on having an IT infrastructure that adapts and scales to unforgiving reliability, performance, and transparency requirements. To support the torrid growth of data, 7ticks needed to expand the IP/MPLS network connecting its data centers to 40 Gbps—and have an immediate path to 100 Gbps and beyond. Within its data centers, 7ticks needed network and security solutions that would keep pace—and would simplify service management and support automation.
“Our biggest challenge is performance at scale,” says Scott Caudell, founder of the 7ticks business and vice president of IT infrastructure at Interactive Data. “IT is our business. The 7ticks infrastructure helps customers get a lower time to market and faster execution speeds at a cost that’s sustainable for their businesses.”
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers.
The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.
The dramatic growth of hybrid cloud deployments is creating new challenges for security professionals that can no longer be addressed with legacy technologies, policies and processes. As applications and data move fluidly between multiple clouds private, public and hybrid—organizations must take a unified approach to security that incorporates a range of products working hand in glove to reduce risk and protect the business.
In today’s business and IT landscape, the network is no longer simply a basic IT function. It is an essential business asset.
The ability of your network users—whether they be employees, customers, or partners—to have fast, real-time access to online resources is directly correlated to financial success.
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.
A Scalable Data Center Network for the Data Tsunami Digital Transformation and other changes drive vast and innumerable new data flows through the business, and increase pressure on IT to continually, quickly, and efficiently address a broad array of new demands. IT needs a network that empowers the business but is too often hampered by it instead. Network management as most practice it now is too complex and inefficient. The solution is automation.
This IDC white paper discusses Juniper's Network Lifecycle Automation Services, a suite of capabilities and services that provide customers the ability to accelerate their digital transformation in a smart, simple, cost-efficient, and more secure way.
The impact of cloud computing and software-defined networking (SDN), including network virtualization, has convinced large enterprises and customers building private, public, and hybrid cloud networks to consider new approaches to help them meet their current and future data center switching needs. Data center switching platforms are constantly evolving, delivering increasingly better performance while simplifying network operations.
In most cases, your physical data center will not disappear as these growth trends play out. Instead, it will evolve into a hybrid environment, incorporating a mixture of physical and virtual computing technologies—including both public and private clouds. You’ll face even more challenging security risks within these hybrid environments than you have protecting your physical data center today. And you won’t be alone with these challenges when making the shift to a hybrid data center architecture.
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring.
The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take.
In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices:
• Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices?
• Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor?
• Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets?
Discover how to optimize your NC Machine Shop Production, minim
Advanced analytics tools can help SMB retailers trim expenses while simultaneously improving shopper/associate engagement. Armed with big data insight into the performance of individual associates and stores small- and mid-size retailers can close the gap on the industry’s biggest players.
Download this Retail IQ report and discover how retailers both big and small can benefit from cutting-edge insight into the performance of their workforce to better schedule, plan and assign tasks.
If you’ve tried managing your retail operation’s labor performance without reliable, real-time data, you know the costly shortcomings of this approach. Tap into clear, easy-to-access workforce data — a single view of all elements of your workforce that empowers you to make effective decisions and protect your bottom line.
Workforce Analytics for Retail transforms labor and sales data into meaningful business intelligence. Learn how managers can make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
Amazon CEO Jeff Bezos spoke about the potential of
artificial intelligence and machine learning at the 2017
Internet Association‘s annual gala in Washington, D.C.,
“It is a renaissance, it is a golden age,” Bezos said.
“We are solving problems with machine learning and
artificial intelligence that were in the realm of science
fiction for the last several decades. Natural language
understanding, machine vision problems, it really is
an amazing renaissance.” Machine learning and AI is a
horizontal enabling layer. It will empower and improve
every business, every government organization, every
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models.
The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
GDPR compliance can be achieved through a combination of people, processes and technology. This document has described solutions that can help organizations with their GDPR journey. But you can extend that protection and strengthen security controls even further via strong and risk authentication or workload automation for the processing automation of personal data helping you comply with GDPR as well as similar mandates. Regulations tend to set the minimum standards to be required, but in the application economy, open enterprises must ensure due diligence to protect one of the most important and critical assets: private customer information.
The European General Data Protection Regulation (GDPR) will be upon us on May 25th 2018, and contrary to enduring public opinion, Brexit won’t make any difference. The GDPR comes in response to global shuffling of privacy laws to meet the growing demands of cloud, data security and other technological needs. The US Safe Harbor framework has been replaced with Privacy Shield, and on top of this is the e-Privacy Regulation, which takes specific interest in electronic communications, cookies for tracking user behaviour online, and other issues around personal data and consent.
Dieses White Paper enthält die Ergebnisse einer von CA Technologies in Auftrag gegebenen Studie zur Analyse der Vorbereitungen in Unternehmen im Zusammenhang mit der Erfüllung der Compliance-Anforderungen für die DSGVO. Im Hinblick darauf, dass die DSGVO weitreichende Auswirkungen auf dieDaten hat, die in Umgebungen außerhalb der Produktion verwendet werden, ging es CATechnologies in ersterLinie darum zu verstehen, wie Unternehmen für die DSGVO planen und welcheProzesse und Technologien sie zur Unterstützung benötigen.