mining data

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By: General Atomics     Published Date: Jan 13, 2015
The term “Big Data” has become virtually synonymous with “schema on read” (where data is applied to a plan or schema as it is ingested or pulled out of a stored location) unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc. But what if you have unstructured data that, on its own, is hugely valuable, enduring, and created at great expense? Data that may not immediately be human readable or indexable on search? Exactly the kind of data most commonly created and analyzed in science and HPC. Research institutions are awash with such data from large-scale experiments and extreme-scale computing that is used for high-consequence
Tags : general atomics, big data, metadata, nirvana
     General Atomics
By: ASG Software Solutions     Published Date: Apr 07, 2009
Application Portfolio Optimization (APO) provides executives with tools and information to assess the quality and condition of application assets as well as a means for understanding the impact of proposed application changes.
Tags : asg, cmdb, bsm, itil, bsm, portfolio optimization, apo, mining tools, metacmdb, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application
     ASG Software Solutions
By: Broadcast Beat Magazine     Published Date: Oct 30, 2019
After examining the TCO of object storage vs. LTO tape, and seeing the benefits achieved in a real-world case study, it’s easy to understand why object storage is quickly becoming the standard for data storage, backup, archive, and recovery. It’s clear that when all costs associated with data storage are tracked, object storage beats tape storage hands down. And even with costs aside, on-premises object storage with Cloudian provides businesses with the flexibility they need to respond to changing technology environments, storage requirements, data monetization opportunities, and more.
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     Broadcast Beat Magazine
By: Dell     Published Date: Jul 08, 2016
Organizations looking to implement desktop and app virtualization traditionally play a guessing game where storage is concerned. When considering local and physical storage, determining what would be necessary for the virtualized world is difficult and can be overwhelming. This is especially true when determining how virtualizing desktops will impact the storage architecture. Organizations risk over sizing their environment thereby wasting CapEx, or under-sizing and potentially ruining the user experience. Software-defined storage solutions, such as VMware Virtual SAN, provide simplified solutions with high performance data stores that offer fine-grained scalability with linearly-predictable performance as demand grows. Dell’s validated and certified desktop virtualization solutions incorporate vSphere and Virtual SAN, and provide a complete end-to-end solution that allows companies to grow and expand without large capital investments in SAN hardware.
Tags : technology, best practices, data, virtualization, storage, data
     Dell
By: Akamai Technologies     Published Date: Dec 11, 2018
Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy. One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware.
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     Akamai Technologies
By: Akamai Technologies     Published Date: Jun 14, 2018
"Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy. One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware. "
Tags : dns, rdns, security, zero trust security, malware, data, network security
     Akamai Technologies
By: Venafi     Published Date: Mar 26, 2015
Advanced Persistent Threat (APT) operators have proven they can breach enterprises like yours by undermining your critical security controls when you fail to protect digital certificates and cryptographic keys. Not securing all of your keys and certificates enables cybercriminals to bypass controls like threat detection, data protection, firewalls, VPNs, DLP, privileged access, and authentication systems that you expect will mitigate threats.
Tags : keys, certificates, security controls, apt, advances persistent threat, cryptographic keys, cybercriminals, cyber attacks, cyber defense, vpn, dlp, privileged access, authentication systems
     Venafi
By: Secureworks     Published Date: Nov 11, 2016
This paper takes an in-depth look at the true costs — both short and long term — of a data breach, and provides steps and tips that executive teams and security leaders can use to determine and reduce the true cost of a data breach.
Tags : managed security services, data breach, security, hackers, security, threat and vulnerability management, cost
     Secureworks
By: Akamai     Published Date: Jun 04, 2010
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Tags : akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
     Akamai
By: Success Factors     Published Date: Aug 10, 2012
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Tags : successfactors, sap, best practices, workforce planning, data-driven decisions, workforce analytics, data mining, predictive modeling, skills gaps, workforce manager, big data, fact-based decisions
     Success Factors
By: Castlight Health     Published Date: Apr 21, 2016
According to American Society of Addiction Medicine (ASAM), opioid abuse costs employers approximately $10 billion from absenteeism and presenteeism alone. Despite the breadth and seriousness of this crisis, America’s employers lack a true understanding of how it impacts individuals in the workforce and their families. Castlight developed this first-of-its-kind study on opioid abuse by examining de-identified and anonymous health data reporting from Americans insured by large employers who use our product.
Tags : castlight health, workforce, asam, addiction medicine, opioid
     Castlight Health
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: HERE Technologies     Published Date: Oct 01, 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: Dell     Published Date: Sep 26, 2017
Government leaders have the unprecedented opportunity to accelerate the path to IT modernization. Download this whitepaper to learn more about the IT trends driving digital transformations and the considerations to be made in determining a successful strategy toward effective and compliant IT modernization. With the right approach, organizations can create an efficient and future-ready launching pad to agilely, cost-effectively and securely meet the needs of constituents, employees and internal customers; accommodate increasing data volumes; and comply with regulatory requirements.
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     Dell
By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
Tags : customer engagement, mobile, social, bpm, case management
     IBM
By: Bronto     Published Date: May 31, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
Tags : trends, ecommerce, marketing, strategy
     Bronto
By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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     SAS
By: Topsy     Published Date: Jul 16, 2013
Marketing today is real-time, always-on, pervasive, and constant—but following these 5 simple rules guarantees that you’ll stand out from the crowd.
Tags : twitter, advertising, real-time, realtime marketing, real-time marketing, social marketing, social strategy, social listening, social data, social analytics, social media analytics, social intelligence, data mining, big data, social media tools, social analysis tools, social media analysis tools, social media monitoring, social media monitoring tools, social media marketing
     Topsy
By: Oracle     Published Date: Jan 28, 2015
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
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     Oracle
By: Teradata     Published Date: Feb 26, 2013
Data is now available, often in endless amounts, from many rich sources. This article discusses the answers to how organizations can thrive in this era of rich and boundless information using a Unified Data Architecture platform.
Tags : gaining value from emerging data, nothing more than just the next step, data mining, unified data architecture platform, social media, mobile devices, it management, data center
     Teradata
By: Jebbit     Published Date: Jun 12, 2018
As marketers, we use data at every level, from determining Facebook targeting to timing a major product launch. But how often do we take a look under the hood at the quality and usefulness of our data? In this playbook, we’ll cover the strengths and weaknesses of third-party, second-party, and first-party data and where declared data fits into the current data landscape. You’ll learn plays for activating declared data for: Qualified lead generation 1-to-1 email personalization Custom audiences and personalized retargeting Audience building and profiling In this section, we’ll cover the definitions, sources, and strengths and weaknesses of third-, second-, and first-party data.
Tags : data, jebbit, remarketing, audiences, omnichannel
     Jebbit
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