This paper will explore the concept behind Ultra-Efficient data
center chilled water system design and control integration
that will see an additional 40 to 60 percent energy savings in
today's best-in-class variable-speed chilled water systems.
Published By: Anixter
Published Date: May 22, 2015
Whether it’s for business or education, entertainment or shopping, nearly every financial transaction, phone call or text, movie download or Internet search either now takes place or is recorded in a data center. With nearly everyone’s professional and personal lives dependent upon a healthy ecosystem of data centers, it is only natural that data centers are now targeted by thieves, spies and others maliciously seeking to cause damage or to steal the information contained within a data center.
In this DCD Supplement we focus on the possibilities and difficulties of data center cooling. Over recent years, data center cooling has evolved from a simplistic model of top-down control, to demand-led systems where the cooling is provided where and when it is needed.
Research shows that legacy ERP 1.0 systems were not designed for usability and insight. More than three quarters of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans 1. These systems lack modern best-practice capabilities needed to compete and grow. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”.
Oracle’s goal is to help you navigate your own journey to modernization by sharing the knowledge we’ve gained working with many thousands of customers using both legacy and modern ERP systems. To that end, we’ve crafted this handbook outlining the fundamental characteristics that define modern ERP.
"Security analysts have a tougher job than ever. New vulnerabilities and security attacks used to be a monthly occurrence, but now they make the headlines almost every day. It’s become much more difficult to effectively monitor and protect all the data passing through your systems. Automated attacks from bad bots that mimic human behavior have raised the stakes, allowing criminals to have machines do the work for them.
Not only that, these bots leave an overwhelming number of alert bells, false positives, and inherent stress in their wake for security practitioners to sift through. Today, you really need a significant edge when combating automated threats launched from all parts of the world.
Where to start? With spending less time investigating all that noise in your logs."
Published By: BehavioSec
Published Date: Oct 04, 2019
In this case study, a large enterprise with an increasing amount
of off-site work from both work-related travel and a fast-growing
remote workforce, is faced with a unique challenge to ensure
their data security is scalable and impenetrable. Their data access
policies rely on physical access management provided at the
company offices and do not always provide off-site employees
with the ability to complete work-critical tasks. Legacy security
solutions only add burden to productivity, sometimes causing
employees to ignore security protocols in order to simply
complete their work. Upon evaluating security vendors for a
frictionless solution, they selected BehavioSec for its enterprise-grade capabilities with on-premise deployment and integration
with existing legacy risk management systems.
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack.
As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers.
Innovative location APIs provide supply chain stacks and applications with:
Real-time data implementation
Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
Vehicles aren’t making full use of map data – yet, these maps can help keep cars safe in a number of ways – even as they fulfill their primary role of efficiently getting vehicles from A to B.
VSI Labs recently performed a series of real-world tests to integrate HERE HD Live Map into a variety of ADAS applications. The objective was to increase the safety of ADAS by improving the functional performance of the vehicle.
In this whitepaper, discover how HERE HD Live Map:
• Enabled map-enhanced adaptive cruise control (ACC), which had an advantage over regular ACC systems in areas like highway exits and school zones
• Enabled map-based lane keeping that operated properly in many complicated situations where computer vision-only systems constantly failed
• Enabled successful map-based lane changing in cases like lane merging, faded markings and inclement weather, where a computer vision-based system had difficulties detecting lanes
• Helped to increased driver comfort during a 2,000+ mile
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
“In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software.
We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
Local and regional governments around the world are using the cloud to transform services, improve their operations, and reach new horizons for citizen services. The Amazon Web Services (AWS) cloud enables data collection, analysis, and decision making for smarter cities. This whitepaper provides strategic considerations for local and regional governments to consider as they identify which IT systems and applications to move to the cloud. Real examples that show how cities can stop wasting money, move faster, and innovate.
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data.
The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints.
The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance.
Intel is addressing these challenges with new memory and storage technologies that emp
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Continuous data availability is a key business continuity requirement for storage systems. It ensures protection against downtime in case of serious incidents or disasters and enables recovery to an operational state within a reasonably short period. To ensure continuous availability, storage solutions need to meet resiliency, recovery, and contingency requirements outlined by the organization.
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
Big Data- und Analytik-Workloads bringen für Unternehmen neue Herausforderungen mit sich. Die erfassten Daten stammen aus Quellen, die vor zehn Jahren noch gar nicht existierten. Es werden Daten von Mobiltelefonen, maschinengenerierte Daten und Daten aus Webseiten-Interaktionen erfasst und analysiert. In Zeiten knapper IT-Budgets wird die Lage zusätzlich dadurch verschärft, dass die Big Data-Volumen immer größer werden und zu enormen Speicherproblemen führen.
Das vorliegende White Paper informiert über die Probleme, die Big Data-Anwendungen für Storage-Systeme mit sich bringen, sowie darüber, wie die Auswahl der richtigen Storage-Infrastruktur Big Data- und Analytik-Anwendungen optimieren kann, ohne das Budget zu sprengen.
Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
Published By: IBM APAC
Published Date: Sep 30, 2019
Companies that are undergoing a technology-enabled business strategy such as digital transformation urgently need modern infrastructure solutions. The solutions should be capable of supporting extreme performance and scalability, uncompromised data-serving capabilities and pervasive security and encryption.
According to IDC, IBM’s LinuxONE combines the advantages of both commercial (IBM Z) and opensource (Linux)systems with security capabilities unmatched by any other offering and scalability for systems-of-record workloads. The report also adds LinuxONE will be a good fit for enterprises as well as managed and cloud service provider firms.
Read more about the benefits of LinuxONE in this IDC Whitepaper.
Every company markets to consumers differently. From call centers to emails to apps and aggregator sites, orchestrating a relationship marketing strategy requires a bespoke collection of marketing technologies. Marketers have the budgets to spend on CRM, email, mobile and data management, but fitting these capabilities together and ensuring they work with legacy business systems is not easy.
Envision this situation at a growing bank. Its competitive landscape demands an agile
response to evolving customer needs. Fortunately, analytically minded professionals in
different divisions are seeing results that positively affect the bottom line.
• A data scientist in the business development team analyzes data to create customized
• experiences for premium customers.
• A digital marketer tracks and influences the customer journey for prospective
• mortgage customers.
• A risk analyst builds risk models for the bank’s loan portfolios.
• A data analyst examines data about local customers.
• A technical architect defines a new system to protect bank data from internal and
• external cyberthreats.
• An application developer builds a new mobile app for online customer portfolio
Between them, these employees might be using more than a dozen packages for
analytics and data management.
Are you blindly relying on manually-entered data from your systems and waiting for the recovery audit to claw back duplicates and overspend?
Now with AI, you can discover rather than recover. Review every invoice and expense for risk before you pay without delaying supplier payments or employee reimbursements.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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