algorithms

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Published By: Coyote Point Systems     Published Date: Sep 02, 2010
The idea of load balancing is well defined in the IT world: A network device accepts traffic on behalf ofa group of servers, and distributes that traffic according to load balancing algorithms and the availabilityof the services that the servers provide. From network administrators to server administrators to applicationdevelopers, this is a generally well understood concept.
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coyote point, adc, buyer's guide, web applications, server load, server hardware, networking, virtualized network, vlb advanced, load balancing
    
Coyote Point Systems
Published By: F5 Networks Inc     Published Date: Dec 08, 2017
The NSA’s Information Assurance Directorate left many people scratching their heads in the winter of 2015. The directive instructed those that follow its guidelines to postpone moving from RSA cryptography to elliptic curve cryptography (ECC) if they hadn’t already done so. “For those partners and vendors that have not yet made the transition to Suite B elliptic curve algorithms, we recommend not making a significant expenditure to do so at this point but instead to prepare for the upcoming quantum-resistant algorithm transition.” The timing of the announcement was curious. Many in the crypto community wondered if there had been a quantum computing breakthrough significant enough to warrant the NSA’s concern. A likely candidate for such a breakthrough came from the University of New South Wales, Australia, where researchers announced that they’d achieved quantum effects in silicon, which would be a massive jump forward for quantum computing.
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quantum computing, quantum, computing, browser encryption. encryptionm
    
F5 Networks Inc
Published By: FusionOps     Published Date: Jun 15, 2016
The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.
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FusionOps
Published 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.
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akamai, predictive, online advertising, tracking pixels, online shopping, in-market, site visitors, performance marketing
    
Akamai
Published By: Clustrix     Published Date: Sep 04, 2013
Find out how AdScience has been able to increase their revenue potential by five times using Clustrix to optimize bidding for their online ad broker agency. AdScience runs complicated algorithms to process bids for ad space based on click history. It's critical for AdScience to have instant access to smart data.
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adscience, revenue, technology, clustrix, algorithms, case study, best practices
    
Clustrix
Published By: IBM     Published Date: May 17, 2016
Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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ibm, big data, inline analytics, business analytics, roi
    
IBM
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.
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virtual services, data, avoid project delays, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: FICO     Published Date: Nov 10, 2015
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions. Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting About FICO FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
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decision analytics, optimization, profitability
    
FICO
Published By: ESV Digital     Published Date: Feb 10, 2015
The multiplication of marketing channels and devices concerning consumers has greatly increased the complexity faced by brands in their marketing efforts. This white paper aims to explain the issues, the principal attribution models used and the related challenges.
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esv digital, algorithms, interactions, point of contact, nurturing, marketing data, marketing analytics
    
ESV Digital
Published By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
    
IBM
Published By: Cisco     Published Date: Jan 05, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Read more to learn how Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance.
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Cisco
Published By: SPSS     Published Date: Jun 30, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the technology sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte."  This article outlines some risks, debunks some myths, and attempts to provide some protective "hard hats" for data miners in the marketing sector.
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spss, data mining, data miner, data management, business process, best practices, business intelligence, statistics, statistical modeling, algorithms, predictive analysis, data analysis, scalability, optimization, business knowledge, decision-making
    
SPSS, Inc.
Published By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
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SAS
Published By: Cisco     Published Date: Jul 11, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance. Initially they deployed at AWS, but as the platform grew and their AWS costs increased, Tapjoy began to look for ways to better manage their growing public-cloud spend while increasing efficiency. They needed to do this without compromising the cloud experience they were giving their developers.
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Cisco
Published By: IBM     Published Date: May 30, 2008
WinterCorp analyzes IBM's DB2 Warehouse and how it addresses twin challenges facing enterprises today: improving the value derived from the torrents of information processed every day, while lowering costs at the same time. Discover why WinterCorp believes the advances in data clustering strategies and intelligent software compression algorithms in IBM's Data Warehouse improves performance of business intelligence queries by radically reducing the I/O's needed to resolve them.
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data warehousing, data management, database management, database administration, dba, business intelligence, ibm, leveraging information, li campaign, ibm li
    
IBM
Published By: Microworld     Published Date: Dec 12, 2007
NILP from MicroWorld is an advanced, next generation technology that detects Spam and Phishing mails using unique algorithms. Before we see how NILP works, let’s first check out the magnitude of spam trouble and why traditional methods are failing to counter it.
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spam, email security, anti-spam, anti spam, email, intrusion prevention, mail scan, mailscan, email, phishing, filter, filtering, email filter, blocking, nilp, microworld
    
Microworld
Published By: ChoiceStream     Published Date: Feb 04, 2009
ChoiceStream's approach towards personalization differs dramatically from others.  In "Traditional Approaches Contrasted with ChoiceStream's Universal Recommender" technology brief you'll learn about the components of personalization systems.  Most importantly, you’ll learn how to choose a winning algorithm that provides the right personalization solution for your online store.
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choicestream, personalization technology brief, universal recommender, best-of-breed personalization, collaborative filtering, preference capture, algorithms
    
ChoiceStream
Published By: SiliconExpert Technologies     Published Date: Dec 23, 2010
A case for proactive component management using lifecycle forecasting algorithms from independent component databases.
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obsolescence, component, bill of materials, boms, electronic parts
    
SiliconExpert Technologies
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