using data

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By: NetApp     Published Date: Dec 18, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection . Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults. Key benefits are: - continuous access to file data while maintaining data redundancy with no administrator intervention needed. - easily integrated and deployed into a distributed environment, providing transparent, centrally managed content storage - provision of secure multi-tenancy using security partitions. - provision effectively infinite, on-demand capacity while providing fast access to files and objects in the cloud. - secure, robust data protection techniques that enable data to persist beyond the life of the storage it resides on
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     NetApp
By: IBM     Published Date: Sep 02, 2014
Research teams using next-generation sequencing (NGS) technologies face the daunting challenge of supporting compute-intensive analysis methods against petabytes of data while simultaneously keeping pace with rapidly evolving algorithmic best practices. NGS users can now solve these challenges by deploying the Accelrys Enterprise Platform (AEP) and the NGS Collection on optimized systems from IBM. Learn how you can benefit from the turnkey IBM Application Ready Solution for Accelrys with supporting benchmark data.
Tags : ibm, accelrys, turnkey ngs solution
     IBM
By: IBM     Published Date: Sep 16, 2015
The IBM Spectrum Scale solution provided for up to 11x better throughput results than EMC Isilon for Spectrum Protect (TSM) workloads. Using published data, Edison compared a solution comprised of EMC® Isilon® against an IBM® Spectrum Scale™ solution. (IBM Spectrum Scale was formerly IBM® General Parallel File System™ or IBM® GPFS™, also known as code name Elastic Storage). For both solutions, IBM® Spectrum Protect™ (formerly IBM Tivoli® Storage Manager or IBM® TSM®) is used as a common workload performing the backups to target storage systems evaluated.
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     IBM
By: Dell and Intel®     Published Date: Jun 18, 2015
The rapid evolution of big data technology in the past few years has changed forever the pursuit of scientific exploration and discovery. Along with traditional experiment and theory, computational modeling and simulation is a third paradigm for science. Its value lies in exploring areas of science in which physical experimentation is unfeasible and insights cannot be revealed analytically, such as in climate modeling, seismology and galaxy formation. More recently, big data has been called the “fourth paradigm" of science. Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction
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     Dell and Intel®
By: IBM     Published Date: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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     IBM
By: snowflake     Published Date: Jun 09, 2016
Check out this short Webinar: Using the Cloud For Speed-of-Thought Analytics on All Your Data
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     snowflake
By: snowflake     Published Date: Jun 09, 2016
Data and the way that data is used have changed, but data warehousing has not. Today’s premises-based data warehouses are based on technology that is, at its core, two decades old. To meet the demands and opportunities of today, data warehouses have to fundamentally change.
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     snowflake
By: Revolution Analytics     Published Date: May 09, 2014
As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. Through techniques of supervised and unsupervised statistical learning, organizations can make important predictions and discover previously unknown knowledge to provide actionable business intelligence. In this guide, we’ll examine the principles underlying machine learning based on the R statistical environment. We’ll explore machine learning with R from the open source R perspective as well as the more robust commercial perspective using Revolution Analytics Enterprise (RRE) for big data deployments.
Tags : revolution analytics, data science, big data, machine learning
     Revolution Analytics
By: RMS     Published Date: Jul 25, 2019
U.S. Flood is a high-gradient, intricate peril incorporating various sources, and causing a variety of effects. It requires sophisticated models, data science, and analytics technology to properly understand and assess each risk.
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     RMS
By: Dell SB     Published Date: Jul 31, 2019
Take back control of your infrastructure projects and build the business case using your own data with Dell EMC’s Live Optics. We can help create a defensible proposal, unique to your environment, using your Live Optics data. Take the guess work out of your projects and build a new infrastructure based on your actual needs. When can we set up a call to discuss?
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     Dell SB
By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Safeguarding the identity of users and managing the level of access they have to critical business applications could be the biggest security challenge organizations face in today’s assumed- breach world. Over 6,500 publicly disclosed data breaches occurred in 2018 alone, exposing over 5 billion records—a large majority of which included usernames and passwords.1 This wasn’t new to 2018 though, as evidenced by the existence of an online, searchable database of 8 billion username and password combinations that have been stolen over the years (https://haveibeenpwned.com/), keeping in mind there are only 4.3 billion people worldwide that have internet access. These credentials aren’t stolen just for fun—they are the leading attack type for causing a data breach. And the driving force behind the majority of credential attacks are bots—malicious ones—because they enable cybercriminals to achieve scale. That’s why prioritizing secure access and bot protection needs to be part of every organ
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     F5 Networks Singapore Pte Ltd
By: HERE Technologies     Published Date: Sep 23, 2019
While the retail industry has made great stri des in understanding the online journeys of consumers, it has been difficult to observe and analyze their wh ereabouts and movements offline . Advanced location intelligence enables marketers to observe consumer journeys to within meters, whether indoors or outdoors, as they move ar ound ever - changing environments, such as stores, malls, restaurants, residential addresses, landmarks, and places of interest. This eBook explores how retailers are starting to launch more targeted campaigns by using location to understand consumer behavior. Find out why location intelligence ca n bring a wide range of benefits to the entire retail industry : data - driven audience segmentation, real - time location targeting, reduced ad - spend, enhanced campaign attribution, and more.
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     HERE Technologies
By: HERE Technologies     Published Date: Sep 26, 2019
There are many challenging tasks when developing autonomous driving features to cope with the various changes to the environment. Often lane markings are faded or are covered with snow or dirt and can be difficult for a camera-based detection system. In this report, VSI addresses the application of HD map assets to improve the safety and performance of automated vehicle features within the context of lane keeping and trajectories. VSI has been examining applications of HD maps in our test vehicle. In a previous report, we discussed map-based Adaptive Cruise Control (ACC) using the advised speed attributes from HERE’s HD map data. In this report, we apply HERE’s HD map data to a lane keeping application and examine performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach.
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     HERE Technologies
By: BillingPlatform     Published Date: Jul 30, 2019
Organization leaders and companies of all sizes are leveraging digital transformation in their industry, market, and business using a myriad of disruptive technologies like connectivity, the Internet of Things, blockchain, business intelligence and big data. CFOs who manage to get in front of these technologies will lead their businesses to greater success. This eBook illustrates how cloud-based billing management offers the quickest path toward this transformation. Download this eBook to explore how the right solution can help you: • Monetize IoT and increase revenue • Launch product innovations quickly • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today.
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     BillingPlatform
By: TIBCO Software     Published Date: Jul 22, 2019
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 Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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     TIBCO Software
By: Trend Micro     Published Date: Aug 13, 2019
While threat prevention continues to improve with the use of advanced techniques, adversaries are outpacing these advances requiring security teams to implement threat detection and response programs. Security teams are often addressing the process haphazardly, using disconnected point tools and manual processes that consume too many analysts and result in slow mean-time to detection and response. While EDR has enabled security teams to take important steps forward for detection and response, ultimately it can only look at the endpoints which limits the scope of threats that can be detected and if something is detected, limits the view of who and what is affected and thus, how best to respond. ESG therefore recommends looking beyond the endpoint and utilizing natively integrated security solutions across more than just one vector to improve detection and response times. The more data you can knit together, the more effective you can be to uncover the security incidents most dangerous to your organization. Watch this webinar to learn about the value of XDR: connecting detection and response across multiple security layers. Dave Gruber, senior analyst at ESG, shares recent research and his views on the evolution of threat detection and response; making the case for expanding the capabilities and expectations of detection and response solutions. Wendy Moore, VP of Product Marketing, discusses Trend Micro’s own XDR strategy and the unique value that Trend Micro can bring to detection, investigation and response.
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     Trend Micro
By: Datastax     Published Date: Oct 11, 2019
The first and most important step to building a successful, scalable application is getting the data model right. In this white paper, you’ll get a detailed, straightforward, five-step approach to creating the right data model right out of the gate—from mapping workflows, to practicing query-first design thinking, to using Cassandra data types effectively.
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     Datastax
By: Oracle     Published Date: Sep 27, 2019
HR has never been more in the spotlight. So it’s never been more important to not just store your data, but use it to transform ways of working. This trend-led research report explores how HR leaders need to become data leaders, using connected data to drive innovation, productivity and growth. Discover insights from those leading the way, and delve into the links between transforming culture and significant growth. Read our report for HR leaders now.
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     Oracle
By: SAS     Published Date: Sep 05, 2019
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 • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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     SAS
By: Medius     Published Date: Oct 01, 2019
AP automation is often described as low hanging fruit in the garden of digital transformation. And for a good reason – the barrier to entry is impressively low in terms of both cost and effort needed to get up and running, particularly in comparison to the implementation projects for other business applications. Despite that fact, the value provided from AP automation is comparably high. For such an easy implementation, the benefits reach throughout an organization, beyond the walls of the AP department, and are near-immediate from day one of using the solution. Standard benefits include: - Immediate value from day one with an expected ROI within the first year - Up to 95% truly touchless invoice processing with access to real-time cloud data for benchmarking and reporting - Easy access to financial data, such as cash flow & accrual reporting, with full visibility and control of the AP process This guide will help you kick-start your AP automation project by defining the 6 steps to build a solid business case and gain the internal approvals needed to get started.
Tags : ap automation, invoice processing, invoice automation, accounts payable automation, accounting software, accounting automation, microsoft dynamics automation
     Medius
By: Amazon Web Services APAC     Published Date: Sep 19, 2019
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand: the way AWS services operate, including how customers can address security and encrypt their content, the geographic locations where customers can choose to store content, and the respective roles the customer and AWS each play in managing and securing content stored on AWS services.
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     Amazon Web Services APAC
By: Adobe     Published Date: Sep 23, 2019
Learn best practices for taking inventory of first-party data, and using second- and third-party data to fulfill programmatic campaigns and achieve digital marketing goals. • Define your team’s goals for customer data. • Take inventory of your first-party data. • Explore use cases for second- and third-party data. • Finding the best data providers. • Combine your first, second, and third-party data. • Case Study: MGM drives programmatic campaign results with third-party data. Business struggle to gain a holistic customer view — the skills to identify actionable insights from multichannel data are in short supply. If they could gain a holistic view of customer attributes and behaviors, they could make sure they get the right content at the right time.
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     Adobe
By: Adobe     Published Date: Sep 23, 2019
The Digital Trends 2019 survey closed with more than 12,500 responses worldwide! The results are in for 2019 and once again, businesses have their sights set on improving customer experience. Data continues to dominate, with an understanding that smarter use will lead to greater rewards. Data ownership and compliance are top-of-mind. And technological advances are an exciting prospect for many. But some need more guidance to understand the benefits for their business. Discover what your top digital priorities for 2019 should be with the 2019 Digital Trends report by Econsultancy in association with Adobe. 4 KEYPOINTS Key topics that you’ll read more about in this year’s report: • Optimising customer experience and delivering personalised experiences in real time. • Using data better for smarter audience segmentation and targeting. • Be wary of walled gardens. Control and own the data, and always be compliant. • Automation is the future. Understand the benefits, learn how to u
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     Adobe
By: Adobe     Published Date: Sep 23, 2019
Across every industry, many of the world's best and fastest-growing brands are using Adobe Experience Manager to deliver personalised content accurately and on time. Why should the target audience care? 86% of buyers will pay more for a better customer experience. What’s more, customer experience will overtake price and product as the key brand differentiator among consumers by 2020. Supporting Concepts: With Adobe Experience Manager, high levels of customer experience personalization, workflow efficiency, and data analysis are no longer cost- and resource-prohibitive dreams for only the biggest players. Brands featured include Silicon Labs, Morningstar, Swisscom, Raiffeisen, Hyatt, Nissan, Sony, SAS, Informatica, Jefferson Health.
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     Adobe
By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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     Simba by Magnitude
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