Bandwidth. Speed. Throughput. These terms are not interchangeable. They are
interrelated concepts in data networking that help measure capacity, the time
it takes to get from one point to the next and the actual amount of data
you’re receiving, respectively.
When you buy an Internet connection from Spectrum Enterprise, you’re buying
a pipe between your office and the Internet with a set capacity, whether it is
25 Mbps, 10 Gbps, or any increment in between. However, the bandwidth we
provide does not tell the whole story; it is the throughput of the entire system
that matters. Throughput is affected by obstacles, overhead and latency,
meaning the throughput of the system will never equal the bandwidth of your
The good news is that an Internet connection from Spectrum Enterprise is
engineered to ensure you receive the capacity you purchase; we proactively
monitor your bandwidth to ensure problems are dealt with promptly, and
we are your advocates across the Internet w
Businesses who have lived through the evolution of the digital age are well aware that we’ve
experienced a generational shift in technology. The rise of software as a service (SaaS),
cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies
have disrupted industries and changed customers’ expectations. In our always-on, buy
anything anywhere world, customers want their shopping experiences to be personalized,
dynamic, and convenient.
As a result, many businesses are trying to reinvent themselves. Success in a fast-paced
economy depends on continually adapting and innovating. Companies have to move quickly
to keep up; there’s no time for disjointed technologies and old systems that don’t serve the
customer-obsessed mentality needed to thrive in the digital age.
Whether your company has been selling online for 20 minutes or 20 years, you are
undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It
requires merchants to create security management policies and procedures for safeguarding
customers’ payment data.
Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS
has evolved over the years to ensure online sellers have the systems and processes in place
to prevent a data breach.
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future.
To find out more download this eBook today.
Published By: Attunity
Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems.
To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC.
Read this book to understand:
? The rise of data lake, streaming and cloud platforms
? How CDC works and enables these architectures
? Case studies of leading-edge enterprises
? Planning and implementation approaches
Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities.
The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach.
VSI tested the lane keeping system with and without map data on a local road in 3 scenarios:
Lane lines expanding into a turn or exit lane
An intersection without lane lines
A widening in the lane
The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems.
This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater.
Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes.
HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
Published By: Lookout
Published Date: Dec 03, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline?
Download your copy of Driving DevOps Success With Data to learn:
How machine data can optimize your application delivery
The four key capabilities DevOps teams must have to optimize speed and customer satisfaction
Sample metrics to measure your DevOps processes against
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
Published By: Workday
Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount
of internal, operational data being stored, but also the
level of granularity available. The finance and HR teams
of many institutions still operate on outdated systems
that are only able to store aggregate data with complex
details summarized. While these systems may be
sufficient for the purpose of financial reporting, they’re
unable to keep up with the level of complexity needed
to drive business decisions.
Deep learning opens up new worlds of possibility in artificial 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. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
Published By: MuleSoft
Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile.
Read this whitepaper to learn:
An overview of the challenges insurers are facing in the industry.
How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise.
Strategies for using APIs to create a single view of the customer and build connected customer experiences.
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
There’s no getting around it. Passed in May 2016, the European Union (EU) General Data Protection Regulation (GDPR) replaces the minimum standards of the Data Protection Directive, a 21-year-old system that allowed the 28 EU member states to set their own data privacy and security rules relating to the information of EU subjects. Under the earlier directive, the force and power of the laws varied across the continent. Not so after GDPR went into effect May 25, 2018.
Under GDPR, organizations are subject to new, uniform data protection requirements—or could potentially face hefty fines. So what factors played into GDPR’s passage?
• Changes in users and data. The number, types and actions of users are constantly increasing. The same is true with data. The types and amount of information organizations collect and store is skyrocketing. Critical information should be protected, but often it’s unknown where the data resides, who can access it, when they can access it or what happens once
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.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
EMC to 3PAR Online Import Utility leverages storage federation and Peer Motion to migrate data from EMC Clariion CX4 and VNX systems to HP 3PAR StoreServ. In this ChalkTalk, HPStorageGuy Calvin Zito gives an overview.
Published By: HPE Intel
Published Date: Mar 15, 2016
Are you asking the right questions about your data center?
• Would you like your IT infrastructure to be faster and more agile?
• Would you like to improve your cost structure?
• Do you plan to adopt a hybrid IT infrastructure and become a service provider for your business?
To adapt to and compete in our ultra-connected, data-driven, and digital world, you need to effectively plan, build, integrate, and manage your facilities, platforms, and systems to efficiently align your infrastructure resources.
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