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Published By: Carbonite     Published Date: Apr 09, 2018
Malware that encrypts a victim’s data until the extortionist’s demands are met is one of the most common forms of cybercrime. And the prevalence of ransomware attacks continues to increase. Cybercriminals are now using more than 50 different forms of ransomware to target and extort money from unsuspecting individuals and businesses. Ransomware attacks are pervasive. More than 4,000 ransomware attacks happen every day, and the volume of attacks is increasing at a rate of 300 percent annually.1 According to an IDT911 study, 84 percent of small and midsize businesses will not meet or report ransomware demands.2 No one is safe from ransomware, as it attacks enterprises and SMBs, government agencies, and individuals indiscriminately. While ransomware demands more than doubled in 2016 to $679 from $294 in 2015, the cost of remediating the damage and lost productivity is many multiples higher.3 Ransomware is the equivalent of catastrophic data loss, except
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Carbonite
Published By: Optimizely     Published Date: Apr 06, 2018
The Need When building websites and applications, too many companies make decisions- on everything from new product features, to look and feel, to marketing campaigns- using subjective opinions rather than hard data. The Solution Companies should conduct online controlled experiments to evaluate their ideas. Potential improvements should be rigorously tested, because large investments can fail to deliver, and some tiny changes can be surprisingly detrimental while have big payoffs.
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Optimizely
Published By: Dassault Systemes SolidWorks Corp.     Published Date: Mar 27, 2018
The product development ecosystem is complex, as it entails nearly every area of an enterprise — each with its own set of tools, files and needs. Enterprises need the right solutions to untangle the web of data management and enable a smarter approach to manufacturing. This article discusses how distributed data management, now an integrated part of SOLIDWORKS Manage, stores and regulates design data to streamline processes and improve the movement of information.
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solidworks, data, management, development, ecosystem
    
Dassault Systemes SolidWorks Corp.
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Business users expect immediate access to data, all the time and without interruption. But reality does not always meet expectations. IT leaders must constantly perform intricate forensic work to unravel the maze of issues that impact data delivery to applications. This performance gap between the data and the application creates a bottleneck that impacts productivity and ultimately damages a business’ ability to operate effectively. We term this the “app-data gap.”
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Hewlett Packard Enterprise
Published By: IBM APAC     Published Date: Mar 19, 2018
Unstructured data has exploded in volume over the past decade. Unstructured data, media files and other data can be created just about anywhere on the planet using almost any smart device available today. As the amount of unstructured data grows exponentially, customers using this data need to be able to take advantage of the right storage solutions to support all of their file and object data requirements. IBM® recently added a new storage system to their Spectrum product family, IBM Spectrum Network Attached Storage (NAS). IBM Spectrum NAS adds another software-defined file storage system to IBM’s current unstructured data storage solutions, IBM Spectrum Scale™ and IBM Cloud Object Storage (COS). Below, we will discuss the three systems and supply some guidance on when and where to use each of them.
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IBM APAC
Published By: Dell PC Lifecycle     Published Date: Mar 09, 2018
The Dell EMC All-Flash storage solution is versatile like a swiss army knife. They have a full suite of best-of-breed products that provide organizations the flexibility to meet their data storage requirements. They allow organizations to customize and choose across best-of breed solutions to meet their needs.
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Dell PC Lifecycle
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: SundaySky     Published Date: Mar 06, 2018
Saks’ personalized video advertising program with SundaySky consists of 15- and 30-second SmartVideo pre-roll ads, featuring highly relevant information, such as previously viewed items, product categories, brand messages and seasonal promotions, that correlate to the viewer’s historical browsing data. Within 30 days of the shopper’s last visit to Saks’ website, SundaySky finds the individual on a publisher site through a programmatic ad network, and serves him or her a Saks video ad filled with relevant information according to their behavior. The goal of the program was to maintain a $25 ROAS with more than $10 million in attributed revenue, measured by the brand’s advanced attribution system of record MarketShare.
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SundaySky
Published By: NetApp     Published Date: Mar 05, 2018
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017 and get the latest insights and recommendations on DBMS strategy. Discover how to: •Evaluate modern data management capabilities before adopting new DBMS products •Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements • Deploy a multimodel DBMS and reduce complexity in your data center
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Oracle     Published Date: Feb 21, 2018
Get Started with Oracle Cloud for Free $300 in free credits Build production-ready workloads by using a variety of cloud services including databases, compute, containers, IoT, big data, API management, integration, chatbots, and many more
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Oracle
Published By: Commvault ABM Oct     Published Date: Feb 15, 2018
Enterprises and managed service providers (MSPs) have some similar challenges in the realm of data protection. Both have to deal with expansive environments—with enterprises protecting distributed offices/geographies, and MSPs protecting many independent subscribers. Both also have been seeing production data storage and secondary protection storage demands rising. Enterprises and MSPs alike should therefore be looking for data protection architectures that have scale-out capabilities built into their core foundation.
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data protection, msps, data storage, scale out data protection
    
Commvault ABM Oct
Published By: Cloudian     Published Date: Feb 15, 2018
As the volume of unstructured data created and used continues to increase rapidly, organizations are faced with challenges around data storage. In response, many new technologies — specifically objectbased storage, software-defined storage, all-flash arrays, and cloud-based storage services — are experiencing rapid adoption. Yet object-based storage has been limited by the need to rewrite existing file-based applications — a prospect that is costly and requires more manpower than is practical for many organizations. Cloudian offers both an object storage platform and more recently an enterprise file services product. When deployed together, Cloudian's products are designed to consolidate file and object data into a single repository and can enable organizations to manage environments that span the cloud as well as on-premises.
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Cloudian
Published By: HireVue     Published Date: Feb 09, 2018
Unilever is a global player in the fast-moving consumer goods (FMCG) sector, with nearly a third of the world’s population using its products every day. The company has more than 169,000 employees working around the world, and its leaders estimate that within three years, as many as 60 percent of those employees will be Millennials. Critical to Unilever’s ongoing success will be its ability to attract these recent college graduates. For its signature Future Leaders Programme, the company wanted its recruitment efforts to get ahead of the curve. The existing process was rooted in paper-based applications, phone interviews with recruiters, and manual assessment tests. It took four to six months to sift through 250,000 applications and ultimately hire 800 individuals. The company sought to radically transform this process using online gamification, digitally recorded interviews, and science-based assessment tests and data analysis. In this case study, we: • Explain the challenges facing U
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HireVue
Published By: Dell EMC     Published Date: Feb 08, 2018
Support up to 177% more customers requests with up to 85% faster response times by choosing the Dell EMC™ VxRail™ P470F over the HPE SimpliVity 380. Process more customer requests, boost staff productivity, and keep business running smoothly. Keep your users productive and your customers happy with a great database experience Intel Inside®. New Possibilities Outside. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: Dell EMC     Published Date: Feb 08, 2018
Support to 50% more customer requests with up to 70% faster response times by choosing the Dell EMC™ VxRail™ P470F over the HPE Hyper Converged 380. Process more customer requests, boost staff productivity, and keep business running smoothly. Keep your users productive and your customers happy with a great database experience. Expand your business confidence knowing you can keep your user experience consistently positive with near-linear performance scaling at sub-10ms latency. Spend less time and effort tuning your environment and scaling up its workload, relying on a high-performing, preconfigured vSAN datastore rather than having to define custom datastores to achieve comparable performance. Intel Inside®. New Possibilities Outside. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: Dell EMC     Published Date: Feb 07, 2018
All companies, small and large, grapple with infrastructure growth and IT modernization. For many companies, datacenter infrastructure has become an essential part of a hybrid cloud environment that allows users to consume internal and external resources seamlessly. This, in turn, is helping modernize today's datacenters and drive new levels of agility, productivity, and scale. A common attribute of modern datacenter infrastructure is solutions that provide all compute and data services as a single system that can be managed holistically at a rack scale. IDC refers to such solutions as converged infrastructure. Intel®. Powerful Productivity Outside. Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: Dell     Published Date: Feb 02, 2018
All companies, small and large, grapple with infrastructure growth and IT modernization. For many companies, datacenter infrastructure has become an essential part of a hybrid cloud environment that allows users to consume internal and external resources seamlessly. This, in turn, is helping modernize today's datacenters and drive new levels of agility, productivity, and scale. A common attribute of modern datacenter infrastructure is solutions that provide all compute and data services as a single system that can be managed holistically at a rack scale. IDC refers to such solutions as converged infrastructure.
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Dell
Published By: Sage People     Published Date: Jan 26, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
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Sage People
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
Published By: Oracle ZDLRA     Published Date: Jan 10, 2018
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
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data protection, backup speed, recovery, overhead, assurance, storage, efficiency, oracle
    
Oracle ZDLRA
Published By: OracleSMB     Published Date: Jan 04, 2018
Customer loyalty matters. Loyal customers spend more, advocate more, and are the first to try new products or services. But how do you build a loyal customer base that drives profitable sales? The answer is a loyalty program that provides the data needed to support individualized experiences and show appreciation. And this is where technology can help. Move beyond paper punch cards and emails with personalized greetings. Quickly create an effective loyalty program that keeps your customers coming back for more.
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OracleSMB
Published By: Group M_IBM Q1'18     Published Date: Dec 20, 2017
Hyper-complex production meets cognitive computing. Electronics manufacturing is surrounded by continuous complexity. Executives face rising resource costs in traditionally low-cost production markets. They must address increasing customization, shorter lead times, frequently changing requirements and shrinking order sizes – all while managing a sophisticated supply network. They need to examine automation potential and maintain critical institutional knowledge. Thinner margins and increased competition threaten consistent quality, risk greater downtime and reduce desired flexibility. Investments in new equipment and automation systems are increasing the amount of data available from the shop floor, but most is not used to its full potential. Now, cognitive manufacturing is transforming production to address such complexity.
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cognitive manufacuring, electronics manufacturing, production transformation, automation systems, manufacturing
    
Group M_IBM Q1'18
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