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Published By: Intel     Published Date: Nov 14, 2019
Evaluating an existing HPC platform for efficient AI-driven workloads The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
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Intel
Published By: Data Center Frontier LLC     Published Date: Nov 11, 2019
This business and technical White Paper is an exploration of the data centre fiber optic networking infrastructure requirements needed to meet current and future demands for data volumes and data rates. It covers how 200Gigabit (Gbps) and 400Gbps Ethernet (GE) fiber optic technologies evolved and how they should advance to 800GE and 1.6TE. It also explores what the right technologies are for sustainable investment strategies to future proof data centre networks.
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Data Center Frontier LLC
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills. Read the report for a full list of enterprise challenges and tips on how to address them.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Gartner’s annual Predicts report is out for 2019—and it includes recommended solutions to issues like incorporating analytics into corporate strategy, measuring the value of data assets, the rapidly increasing volume of data, the lack of data literacy, and more. Some of the valuable findings include: Today, fewer than 50% of documented corporate strategies mention data and analytics as key components for delivering enterprise value, per Gartner’s “How Infosavvy Are You? Study." Organizations that fail to develop and enforce such codes of conduct are at a greater risk of liability and misuse of data science and AI. Few organizations have implemented continuous intelligence capabilities, spanning multiple applications and business functions, because they lack the relevant skills.
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MicroStrategy
Published By: Dell EMC     Published Date: Oct 30, 2019
As data volumes grow larger every year, businesses that adopt more sophisticated approaches to storing and deriving value from that data benefit in terms of performance, scalability, and cost. How do you migrate effectively to the latest storage and infrastructure technologies, while also mitigating the associated disruption and risk? Download this overview from Dell EMC and Intel® to learn more.
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Dell EMC
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
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.
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Infinidat EMEA
Published By: Oracle     Published Date: Sep 30, 2019
Company reputations are at stake— unless they’re sure of their data security and practices in the face of multiplying data volumes. There is now a need to understand the responsibilities and the need for the entire company to commit to a digital trust framework. In this episode of the Tomorrow Talks series, IDC and Oracle discuss how data security and practices are no longer the remit of CIOs and CISOs alone. To find out more, watch this webinar today.
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Oracle
Published By: Datastax     Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it. Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies. In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
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Datastax
Published By: Oracle     Published Date: Sep 26, 2019
Marketing is not getting more difficult because of data— it’s actually getting easier. In the old days you needed to guess who your audience was and plan in advance what you wanted to say and wait far too long to see if it worked. Those days are long gone—now you can determine EXACTLY who your audience is, deliver a relevant, personalized message in a nanosecond, and find out almost immediately whether it worked! You no longer have to live by the spray-and-pray method— you can be tactical in your delivery. Marketing today is data-driven and uses a wealth of insights and connection points to engage with consumers one to one. Data about our customers and prospects gives us the ability to deliver the right message to the right audience at the right time. That’s audience targeting, and it’s far deeper than demo targeting, even though targeting by demo is a nice place to start. That said, the sheer volume of data and technology can be overwhelming. Cut through the noise and tackle the ba
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Oracle
Published By: Experian     Published Date: Sep 26, 2019
"We are in an age of unprecedented opportunity, where ubiquitous data and new technologies are shaping the world and dramatically changing the way consumers interact with businesses like yours. The rise of fintech companies is driving competition, e-commerce has raised the bar for digital experiences, fraud is at an all-time high, and there is pressure to grow your business. You need to meet these challenges head on and do it in a way that can scale with the increasing volume — and value — of customers. All while meeting and exceeding customer expectations. We believe rapid, sustainable growth can be fuelled by acquiring the right customers and delivering customer experiences that align with their expectations. To succeed you need a comprehensive, unified view into your customers and their needs. As a business leader, how do you achieve these objectives? What can you do to attract and acquire new customers? What tools do you need to quickly act on insights and to make consistent, relev
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Experian
Published By: Intel     Published Date: Sep 25, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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Intel
Published By: Intel     Published Date: Sep 25, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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Intel
Published By: Adobe     Published Date: Sep 23, 2019
Data is a company’s most valuable asset. Just look at Forbes’ World’s Most Value Brands list. No longer is a company’s worth evaluated by its tangible assets — data has changed all of that. Every business today relies on data. The ability to filter through volumes of data to capture true insights is critical to gaining a competitive advantage. Companies aspiring to deliver the best possible customer experiences must be able to unify different types of information, including behavioral, transactional , and operational data
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Adobe
Published By: SDL     Published Date: Sep 20, 2019
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
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SDL
Published By: TIBCO Software     Published Date: Sep 16, 2019
TIBCO Data Virtualization é uma solução comprovada que é usada por quatro das cinco principais companhias de energia integradas para fornecer mais rapidamente um maior volume de dados analíticos nas operações de exploração e produção. Os casos de uso específicos descritos incluem: • Análise de dados em plataformas offshore • Manutenção e reparação de poços • Serviços de dados web em refinarias • SAP Master Data Quality Se uma empresa de energia está enfrentando desafios relacionados com dados e suas análises, deve considerar o TIBCO Data Virtualization.
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TIBCO Software
Published By: Akamai Technologies     Published Date: Sep 10, 2019
Contemporary internet threats are sophisticated and adaptable, they continuously change their complexion to evade security defenses. Traditional rigid, deterministic, rule-based security research are becoming less effective. Security research approaches employing data science methods to implement anomalies-based analysis across very large volumes of anonymized data are now essential. This paper will: • Briefly cover security research challenges in today’s threat landscape • Explain why DNS resolution data is a rich resource for security research • Describe how Akamai teams use DNS data and data science to create better threat intelligence • Discuss improvements in threat coverage, accuracy, and responsiveness to today’s agile threats
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Akamai Technologies
Published By: Oracle     Published Date: Sep 09, 2019
Company reputations are at stake— unless they’re sure of their data security and practices in the face of multiplying data volumes. There is now a need to understand the responsibilities and the need for the entire company to commit to a digital trust framework. In this episode of the Tomorrow Talks series, IDC and Oracle discuss how data security and practices are no longer the remit of CIOs and CISOs alone. To find out more, watch this webinar today.
Tags : 
    
Oracle
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19
Published By: Intel     Published Date: Aug 26, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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Intel
Published By: Cohesity     Published Date: Aug 09, 2019
The growing importance—and complexity—of data protection means old approaches no longer will get the job done in an era of exploding data volumes and ever-changing business requirements. It’s time to reimagine and reengineer your IT infrastructure for a more efficient, affordable and manageable data protection framework.
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Cohesity
Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Requirements for secure, long-term data retention are common and increasingly stringent, with data volumes growing massively as a result. Tape storage offers a less costly long-term storage option than disk drives or flash. And, data stored on tape kept offline, or on write-once media, is nearly invulnerable to hacking. This white paper looks at the benefits that IBM TS4300 Tape Library can provide businesses.
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IBM APAC
Published By: Mimecast     Published Date: Jul 15, 2019
The Mimecast Supervision solution enables compliance personnel to systematically review and discover targeted data among the volume of communications organizations face today. Integrated with the industry leading Mimecast Cloud Archive, users can facilitate an auditable, managed supervision review process, flexible to meet the needs of the business while utilizing a scaleable, immutable SEC 17A-4 validated and tamper proof archive with guaranteed 7 second SLA search capabilities. To reduce the number of false positives in sampling data, targeted detection rules can focus on specific senders/recipients and to accelerate the process. In addition, queues can be configured with an upper limit upon which to be populated with email. This helps limit the amount of email a reviewer must go through while still identifying risk. Today’s supervision demands require reviewers to be highly productive.
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Mimecast
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
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.
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Group M_IBM Q3'19
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