machine learning

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Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

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

Leading in the Next Analytics Age: HBR Insights The Next Analytics Age: Machine Learning

Published By: SAS     Published Date: Oct 18, 2017
What management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz of what machine learning can do, to talk about how it will change companies and the way we manage them. Articles include: How to Make Your Company Machine Learning Ready, by James Hodson Machine Learning Is No Longer Just for Experts, by Josh Schwartz Teaching an Algorithm to Understand Right and Wrong, by Greg Satell The Simple Economics of Machine Intelligence, by Ajay Agrawal, Joshua Gans, and Avi Goldfarb Robots and Automation May Not Take Your Desk Job After All, by Dan Finnigan How to Tell If Machine Learning Can Solve Your Business Problem, by Anastassia Fedyk
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SAS

The Machine Learning Primer

Published By: SAS     Published Date: Oct 18, 2017
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.
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SAS

The Next Wave of Intelligent Applications, Powered by Apache Spark

Published By: IBM     Published Date: Oct 26, 2015
Machine learning can help us plan our lives so we can increase our likelihood of success. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM. Learn more.
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ibm, machine learning, apache spark, business intelligence, intelligence, intelligence applications, big data, data, business activity monitoring, business analytics, business metrics, analytical applications
    
IBM

Giving Customers What They Want: Personalized and Predictive Brand Experiences

Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist

Lenovo Enables Solutions For The New HPC

Published By: Inside HPC Media LLC     Published Date: Sep 24, 2019
The 2019 version of High Performance Computing (HPC) has changed considerably from previous years’. Most notably, advancements in Artificial Intelligence (AI) has given rise to data-centric applications in machine learning. Machine learning often relies on HPC technologies, particularly in the early training phase, and in many cases, machine learning initiatives share infrastructure, budgets, and personnel with established HPC installations. A 2018 Intersect360 Research study found that the majority of experienced HPC users had also embarked on machine learning applications, usually overlapping HPC and AI.
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Inside HPC Media LLC

Realize The Massive Potential of Your AL Infrastructure

Published By: Inside HPC Media LLC     Published Date: Sep 24, 2019
Artificial Intelligence (AI) is rapidly becoming an essential business and research tool, providing valuable new insights into corporate data and delivering those insights with high velocity and accuracy. Enterprises, universities, and government organizations are investing tremendous resources to develop a wide array of future-focused Deep Learning (DL) and Machine Learning (ML) solutions such as: • Autonomous vehicles that circulate unassisted in our cities • Real-time fraud detection that protects shopping and internet transactions • Natural language translators that remove language barriers • Augmented reality that delivers a far richer entertainment experience • Accelerated drug discovery • Fully enabled personalized medicine and remote health diagnostics
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Inside HPC Media LLC

Machine Learning for Email Marketers

Published By: Boomtrain     Published Date: Mar 29, 2016
Learn how to send exceptionally relevant emails and boost engagement with the most powerful technology for email marketers.
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machine learning for marketers, marketing automation, email marketing, content analytics, content personalization, email personalization, dynamic email content, predictive content, predictive marketing, contextual marketing, business analytics, content management system, content management
    
Boomtrain

THE AUTONOMOUS GRID: Machine Learning and IoT for Utilities

Published By: SAS     Published Date: Aug 04, 2016
Machine learning and the Internet of Things (IoT) are two of the hottest terms out there today for utilities. Both have the power to create an increasingly autonomous grid that can eventually handle billions of endpoints on utility networks, but the industry may not be maximizing the benefit of these disruptive innovations, nor adequately leveraging the connection between the two of them.
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best practices, networks, utility network, autonomous grid, innovation, competitive advantage, business analytics, business intelligence, business management, business technology
    
SAS

Five Steps to Better People Analytics

Published By: Workday     Published Date: Oct 11, 2018
Artificial intelligence (AI) and machine learning are redefining business analytics. But for HR, use cases can be much more complex. Learn five key steps to build a strong foundation for answering HCM questions today and position yourself to use AI in HR going forward.
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Workday

Practical Human-in-the-Loop Machine Learning

Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS

ESG white paper: Machine Learning Delivers Better Insights

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise

Nimble Labs Report: Can machine learning prevent application downtime?

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise

ESG white paper: Machine Learning Delivers Better Insights

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise

Nimble Labs Report: Can machine learning prevent application downtime?

Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise

Geschäftliche Flexibilität mit schnelleren Serveraktualisierungszyklen beschleunigen

Published By: DellEMC and Intel®     Published Date: Sep 25, 2017
Durch eine grundlegende Transformation von Mitarbeitern, Prozessen und Technologie können Unternehmen in der heutigen Innovationswirtschaft wettbewerbsfähig bleiben. Initiativen wie erweiterte Sicherheit, Betrugserkennungsservices, vernetzte Verbrauchergeräte im Internet der Dinge (IoT), Erfahrungen mit erweiterter oder virtueller Realität, Machine und Deep Learning sowie kognitiv befähigte Anwendungen fördern bessere Geschäftsergebnisse wie vorausschauendes Marketing und präventive Wartung. Intel Inside®. Neue Möglichkeiten Outside. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logotyp, intel atom, intel atom inside, intel core, intel inside, intel inside logotyp, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®

Accelerate Business Agility with Faster Server Refresh Cycles

Published By: DellEMC and Intel®     Published Date: Sep 25, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Procesador Intel® Xeon® Intel Inside®. Produtividade poderosa no exterior. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, el logotipo de intel, intel atom, intel atom inside, intel core, intel inside, el logotipo de intel inside, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®

Accelerate Business Agility with Faster Server Refresh Cycles

Published By: DellEMC and Intel®     Published Date: Oct 18, 2017
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Intel Inside®. New Possibilities Outside. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®

eBook: The Future of Life Sciences Manufacturing

Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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Dassault Systèmes

Accelerate Deep Learning With A Modern Data Platform

Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage

Unlocking Customer Insights with Machine Learning

Published By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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Q2 eBanking

Is Your Testing Stuck in a Holding Pattern?

Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA

2017 Gartner Magic Quadrant for Data Science Platforms

Published By: Group M_IBM Q1'18     Published Date: Feb 14, 2018
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.
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gartner, magic quadrant, data science platform, machine-learning
    
Group M_IBM Q1'18

Data Integration Reaches Inflection Point: Survey Results

Published By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM

Machine Learning: Personalize your customers' experiences at every interaction

Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Check out Infographic. Download Now!
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Group M_IBM Q418
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