Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what your organization needs and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals. Cisco® Digital Network Architecture (Cisco DNA™) is your team’s bridge to an intentbased network. It is an open, extensible, software-driven architecture that accelerates and simplifies your enterprise network operations, while lowering costs and reducing your risk. Only Cisco provides a single network fabric that is powered by deep intelligence and integrated security to deliver automation and assurance across your entire organization at scale. Cisco DNA gives IT time back from time-consuming, repetitive network configuration tasks so you can focus on the innovation your business needs. Cisco DNA automation and assurance are built on a Software-Defined Networking (SDN) controller, ri
Nimble Secondary Flash array represents a new type of data storage, designed to maximize both capacity and performance. By adding high-performance flash storage to a capacity-optimized architecture, it provides a unique backup platform that lets you put your backup data to work.
Nimble Secondary Flash array uses flash performance to provide both near-instant backup and recovery from any primary storage system. It is a single device for backup, disaster recovery, and even local archiving. By using flash, you can accomplish real work such as dev/test, QA, and analytics.
Deep integration with Veeam’s leading backup software simplifies data lifecycle management and provides a path to cloud archiving.
Published By: HP Inc.
Published Date: Feb 03, 2016
Almost every organization takes its desktop/laptop security seriously – but most simply rely on software-level solutions, missing out on a deeper level of protection. Are these traditional software solutions keeping data safe enough? Not according to a recent Spiceworks survey, in which only about half of IT professionals in the Americas feel like their current, software-level solutions are very effective. Where does your organization rank?
When your solution needs deep packet inspection (DPI) application awareness as a key enabling feature, highly reliable and accurate identification of network traffic and applications - in real time - is an expected requirement. Whether it’s for software defined networks to enable policy control and critical traffic steering or to protect corporate networks, IoT devices, and cloud platforms from malicious attacks, it’s crucial to choose the right DPI solution.
The SD-WAN market is growing fast, but so is competition. In such a competitive environment, SD-WAN vendors need to offer products with unique features and capabilities in order to stand out. Real-time application visibility powered by deep packet inspection (DPI) software can be the decisive element in achieving them.
This whitepaper highlights the key value of DPI software, which is enabling advanced SD-WAN analytics and security features.
Application-aware vEPC is the key to SDN/NFV service deployments. Deep packet inspection software provides granular network data, which lays the foundation for application awareness in mobile networks. This case study explains how a leading provider of virtualized network solutions uses the best-berforming deep packet inspection (DPI) software R&S®PACE 2 by Rohde & Schwarz to provide their CSP customers with overall network intelligence at a highly granular level.
Infrastructure considerations for IT leaders
By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries.
Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones.
Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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Backed by deep expertise and supported by a global network of trained and certified technical service professionals, Lenovo’s 360° approach to security gives you the complete experience of:
Secure supply chain
Best-in-class hardware security
Securely developed software
Complete component verfication
Adoption and extension of security technology
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Despite the ease and enthusiasm with which knowledge workers have embraced Web collaboration, user-driven integration can only go so far. It is imperative that CIOs take control of their collaboration deployments now and weave collaboration solutions deep into the fabric of their business processes and enterprise software strategies.
How IBM can help
As one of the world’s leading research organizations, and one
of the world’s top contributors to open source projects, IBM
is committed to fostering the collaborative effort required to
transform how people, governments and businesses transact
and interact. IBM provides clients the blockchain technology
fabric, consulting and systems integration capabilities to
design and rapidly adopt distributed ledgers, digital identity
and blockchain solutions. IBM helps clients leverage the
global scale, business domain expertise and deep cloud
integration experience required for the application of these
technologies. Learn more at ibm.com/blockchain.
The IBM Global Electronics practice uniquely combines IBM
and partner services, hardware, software and research into
integrated solutions that can help you deliver innovation,
create differentiated customer experiences and optimize
your global operations. Please visit ibm.com/electronics
With Watson Explorer, you can keep enterprise search as the foundation and transform search into Cognitive Exploration. Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media. Stop limiting your search to traditional data sources in the new, non-traditional data world.
The right Network Performance Monitoring and Diagnostics (NPMD) solution can help IT operations deliver superior performance for users. When incorporated into your IT security initiatives, deep packet inspection can strengthen your existing antivirus software, Intrusion Detection System (IDS), and Data Loss Prevention (DLP) defenses.
With so much of today's commerce being conducted electronically, providing staff with internet access has become a business necessity. The improper use of e-mail and instant messengers can lead to extremely expensive lawsuits, and the proliferation of mobile devices has made it considerably easier for errant employees to steal sensitive information. This white paper will detail the risks to which organizations that do not monitor their employees are exposed and explain the right way for organizations to go about monitoring.