Published By: BehavioSec
Published Date: Oct 04, 2019
Authentication is evolving from static one-time user action, to transparent and continuous ways of validating digital identities without imposing frustration on end users. Behavioral biometrics technologies invisibly and unobtrusively authenticate users by validating the manner in which they physically interact online. Behavioral biometrics technologies learn how individual users hold mobile devices in their hands and press their fingers on the touchscreen. On computers, the system learns how users type on keyboards and move their mouse and cursor. The BehavioSec solution gathers this behavioral data and analyzes it using advanced techniques, to ensure that the user is who you expect them to be.
"Enterprises throughout the world are rapidly digitizing their operations and adopting a multicloud environment. Unfortunately, legacy WAN architecture models often do not provide the scale, flexibility or agility required to support this transition. Enter SD-WAN.
No single platform will be able to deliver every piece in the jigsaw for every type of enterprise and every application-specific set of requirements. The key is to select vendor partners whose platforms are sufficiently open, modular and comprehensive in their functionality and components that they will be able to adapt to enterprises’ increasingly varied, flexible and exacting networking and compute requirements going forward.
Only by doing so will they secure the ability to stay ahead in a multicloud future."
Published By: Flexential
Published Date: Jul 17, 2019
The hybrid cloud has arrived for the enterprise, but it comes with a complication: the speed of light. Between the cloud and the end user (including IoT devices that count as ‘users’), there is an emerging need for an intermediate environment that can satisfy real-time compute requirements without incurring the latency of reaching all the way to the cloud. ‘Edge compute’ is the phrase used to describe what covers this middle ground, but the optimal location for edge compute resources remains open to question.
: Today’s learning environments would be unrecognizable to past generations. Professors distribute and issue syllabi and assignments online. Students collaborate on group projects using Google Docs, Doodle and other technologies. Password reset requests alone could keep an entire IT team busy. To face this onslaught of technological demands without breaking the budget, campuses need a powerful, flexible and affordable ITSM platform.
Read this eBook to learn how eight different colleges and universities are using Cherwell ITSM to achieve:
• A higher level of productivity (for example, implementing a self-service portal for password resets that slashed service requests by 65 percent)
• Faster service delivery (for example, cutting the global computer refresh cycle from three years to seven months)
• Less configuration time (for example, one school reduced configuration time by 74 percent).
To learn more about how leading campuses have easily and affordably improved their operational
Today’s students are accustomed to leveraging technology as part of their education. For in-class and at-home learning, many are leveraging 1-to-1 iPad programs. For many more, a computer lab is made available to offer access to educational materials.
Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students and parents the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries.
And, many school computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply prefer them.
In order to set students up for educational and professional success, K-12 schools need to equip students with secure technology and a customized experience when they sit down at any computer in the lab.
Today’s students are accustomed to leveraging technology as part of their education. For in-class learning at K-12 environments, many are offering 1-to-1 iPad programs. While some universities are moving towards a 1-to-1 iPad model, such as The Ohio State University, many others are relying on computer labs to offer the technical tools students need.
In order to set these young adults up for professional success, higher education institutions need to equip students with secure technology and a customized experience when they sit down at any computer in the lab.
Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries.
And, many university computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply
Application Delivery Controllers understand applications and optimize server performance - offloading compute-intensive tasks that prevent servers from quickly delivering applications. Learn how ADCs have taken over where load balancers left off.
DigitalOcean commissioned Cloud Spectator to evaluate the performance of virtual machines (VMs) from three different Cloud Service Providers (CSPs): Amazon Web Services, Google Compute Engine and DigitalOcean. Cloud Spectator tested the various VMs to evaluate the CPU performance, Random Access Memory (RAM) and storage read and write performance of each provider’s VMs. The purpose of the study was to understand Cloud service performance among major Cloud providers with similarly-sized VMs using a standardized, repeatable testing methodology. Based on the analysis, DigitalOcean’s VM performance was superior in nearly all measured VM performance dimensions, and DigitalOcean provides some of the most compelling performance per dollar available in the industry.
The average computer room today has cooling capacity that is nearly four times the IT heat load. Using data from 45 sites reviewed by Upsite Technologies, this white paper will show how you can calculate, benchmark, interpret, and benefit from a simple and practical metric called the Cooling Capacity Factor (CCF).
Calculating the CCF is the quickest and easiest way
to determine cooling infrastructure utilization and
potential gains to be realized by AFM improvements.
With the current state of the economy, IT executives are being asked to stretch their budgets in order to keep their businesses profitable. In 2008, Median IT spending per user fell to $6,667 from the previous year's $7,397, according to Computer Economics. This represents a 6.2% reduction, consistent with the fact that IT managers were supporting an increasing number of users without corresponding increases in IT spending. IT spend continued to decline in 2009 and uncertainty and caution is still prevalent in 2010.
In a world characterized by ever-increasing generation and consumption of digital information, the ability to analyze data to find insights in real time has become a competitive advantage. An advanced network must address how best to transfer growing amounts of data quickly and efficiently, and how to perform analysis on that data on-the-fly.
The Co-Design technology transition has revolutionized the industry, clearly illustrating that the traditional CPU-centric data center architecture, wherein as many functions as possible are onloaded onto the CPU, is outdated. The transition to the new data-centric architecture requires that today’s networks must be fast and they must be efficient, which means they must offload as many functions as possible from the CPU to other places in the network, enabling the CPU to focus on its primary role of handling the compute.
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).
ealthcare workers understand the complexity of fighting infections better than most. As medications are developed, germs evolve and become resistant to those medications. Over time, germs become incredibly complex and difficult to treat as they continue to evolve and adapt.
Unfortunately, computer viruses seem to be following a similar pattern—and the healthcare industry is struggling to catch up.
Today, mobility is no longer a trend. It’s the new reality — and it is reshaping the enterprise. Gone are the days of employees tethered to desktop computers, and they’re no longer dependent on an Ethernet or wi-fi connection to work remotely. More and more enterprise employees are conducting daily work transactions on mobile devices. Mobility surged to 1.3 billion workers in 2015, continuing a 33 percent growth trend since 2010. These mobile workers aren’t limiting themselves to a single device, either. In just the last year, the number of devices managed by enterprises grew an incredible 72 percent.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Published By: HPE Intel
Published Date: Jan 11, 2016
A famous architect once said that the origin of architecture was defined by the first time “two bricks were put together well.” And the more bricks you have, the more important putting them together well becomes. The same holds true in our data centers. The architecture of our compute, storage and network devices has always been important, but as the demands on our IT infrastructures grow, and we add more “bricks,” the architecture becomes more critical.
Published By: HPE Intel
Published Date: Mar 14, 2016
Innovative companies around the world have embraced a modernized, business-centric approach to IT, delivering orchestrated solutions that help achieve better business results. Now, more efficient and agile servers support this innovation by combining compute, storage, and networking resources to manage entire IT environments as programmable elements that are flexibly tailored to meet changing business demands. With HPE ProLiant Gen9 servers, you can redefine your IT infrastructure so that it’s converged, software-defined, cloud-ready, and workload-optimized. HPE ProLiant Gen9 servers can help organizations align IT infrastructures with key business outcomes: running operations efficiently, accelerating IT service delivery, and increasing business productivity and performance.
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.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
This white paper shows how Microsoft and Cisco have come together and developed a best-of-breed private cloud ecosystem that combines Cisco’s compute and network expertise with Microsoft’s single operating system, data management, and virtualisation capabilities.
Download this asset to learn CRM and BI solutions can help you deliver insights to meet those expectations. They’re not just for the enterprise anymore – but to make the most of them, you’ll need plenty of compute power and scalable data storage.
Sponsored by: HPE and Intel®