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Published By: Juniper Networks     Published Date: Jun 29, 2017
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.”
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technology efficiency, market dynamics, data privacy, data security, device management, platform management, enterprise management, data breach
    
Juniper Networks
Published By: Juniper Networks     Published Date: Jun 29, 2017
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.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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cloud, malware protection, compromised files, threat intelligence, security director, virtual firewall, atp, srx, vsrx
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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software as a service, platform as a service, infrastructure, cloud service provider, virtual data center, sdsn
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 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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security, switching, routing, operating system, secure network, sdsn, solutions
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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digital transformation, virtual infrastructure, network, data, automation, security, nemertes
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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cloud, big data, iot, business decisions, software defined network, sdn, virtualization, converged, hyperconverged
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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scaling, memory, asic platforms, broadcom, tomahawk platforms, juniper networks, multivector scaling, memory architecture
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
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.
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intrusion prevention, data attacks, firewall, junos space virtual director, appsecure, unified management, centralized platform
    
Juniper Networks
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
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
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
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
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Dassault Systèmes
Published By: Kronos     Published Date: Sep 20, 2018
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.
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Kronos
Published By: Kronos     Published Date: Sep 20, 2018
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.
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Kronos
Published By: Pure Storage     Published Date: Apr 18, 2018
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
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
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.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Tapping into the power of big data can be daunting. So we’ve looked at the strategic areas your organization can focus on. Our overview of emerging trends revealed three challenges of big data, and opportunities therein:
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help. According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive. Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
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Pure Storage
Published By: Q2 eBanking     Published Date: Jul 30, 2017
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.
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Q2 eBanking
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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