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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: Group M_IBM Q1'18     Published Date: Feb 14, 2018
The SPSS Statistics Campus Edition offers maximum flexibility and scalability for schools to provide unlimited access to authorized users
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spss, statistics, spss education, academic software
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Feb 14, 2018
Using IBM SPSS Statistics and Modeler software with the R programming language provides more benefits than R alone.
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spss, software, r programming, programming, statistics
    
Group M_IBM Q1'18
Published By: Ixaris OTA     Published Date: Jan 25, 2018
Travel agents, tour operators and travel wholesalers are typically spending thousands in unnecessary costs each year. And in a fiercely competitive market operating on high volumes and low margins, ensuring efficiency with sales and purchasing systems is no easy task. Especially when it comes to payments. If you want to find out where you’re losing money, how efficient your platform really is and the simple way to eliminate these costs, read this white paper. It explores the top three areas where you could be overspending. And it reveals the statistics behind your unnecessary costs – giving you the information you need to save money and drive efficiency.
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Ixaris OTA
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
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: Adecco     Published Date: Sep 27, 2017
With the unemployment average decreasing across the nation and new jobs continually evolving, long-term growth projections are promising for the IT industry. As the tech industry booms, so does the tech job market. We took a deep dive into the latest annual job market data from Bureau of Labor Statistics to better understand how both the nation and the IT sector advanced and what this means for the future of tech.
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Adecco
Published By: IBM APAC     Published Date: Aug 25, 2017
Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high, not only in cost, but also in the need for specialized talent.
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machine learning, apache spark, additional resources, big data, ibm
    
IBM APAC
Published By: Juniper Networks     Published Date: Aug 03, 2017
How do you stay ahead of disruption? In an international survey, more than 90 percent of the respondents agreed that two things give them a competitive advantage that’s significant. How to create and deploy new products and services faster The top three countries leveraging network and automation technologies Global statistics on the business advantages gained from these technologies
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network technologies, automation technologies, organization efficiency, improved production
    
Juniper Networks
Published By: Pure Storage     Published Date: Jul 26, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
Published By: Netsuite     Published Date: Jul 24, 2017
Baseball has always collected in-game data. However, until recently, fans didn’t have easy access to the various statistics that coaches used for key decisions important for the development of the players and success on the baseball field. It’s not unlike how traditional business intelligence is delivered. Data and reports are set aside for a few experts who determine what is important for you. Today, baseball statistics are widely available during broadcasts on TV, PCs and mobile devices. Basic data displays like inning and score are enhanced with metrics meaningful to students of the game, such as pitch speed, strikeout percentages and hit zones. It’s a good example of vital information being delivered in real-time, on demand and in context.
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Netsuite
Published By: Pure Storage     Published Date: Jul 18, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 12, 2017
If anyone remained skeptical about the cloud’s utility— and staying power—as a delivery mechanism for everything from infrastructure as a service (IaaS) to platform as a service (PaaS), software as a service (SaaS), and more, a quick look at recent statistics would surely change their mind. Indeed, with the cloud software market reaching US$48.8 billion in 2014 and anticipated to grow to US$112.8 billion by 2019, it’s clear that cloud computing is not just the way of the future, it’s also the way of the present.
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erp, cloud, iaas, paas, saas, cloud computing
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: Infor     Published Date: Jun 13, 2017
In 2015, the number of Millennial employees (those born between 1982 and 2004) will exceed that of Baby Boomers; by 2030 Millennials will represent 75% of the workforce, according to the U.S. Bureau of Labor Statistics.
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Infor
Published By: Entrust Datacard     Published Date: Jun 09, 2017
Security professionals attribute more than 63% of confirmed breaches to weak, default or stolen passwords. Analysts say more than 80% of all confirmed breaches involve privileged credentials. And the average cost of a data breach totals more than $3.8M. Almost every story reporting statistics like these concludes with “the password is dead.” The world clearly must move on from passwords in the battle to protect data – or at least attempt to phase them out.
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Entrust Datacard
Published By: RICOH     Published Date: Jun 09, 2017
Download this infographic to discover some interesting statistics in these times of change.
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digital transformation, work place, work landscape, change
    
RICOH
Published By: Optimizely     Published Date: Jun 05, 2017
Learn about statistical significance, statistical error, and the concepts behind Optimizely’s Stats Engine: - Best practices for running your experiments to statistical significance - Tips for communicating results, optimizing low-traffic pages, using confidence intervals, and more - How Optimizely is creating an always-valid view of statistical significance
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optimizely, online experiments, statistics, statistical significance, optimizely stats engine
    
Optimizely
Published By: Verisign     Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
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Verisign
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: Dell     Published Date: May 09, 2017
Productivity has become synonymous with revenue for many organizations. The theory is simple: The more your employees can get done, the more income they can generate. And yet data from the Bureau of Labor Statistics shows that the productivity level in the United States is actually fairly low, topping out at 3.1% in one quarter and going into negative digits in others over the past few years.1 This means labor productivity, measured in output per hour of labor, is low or—in many quarters—shrinking. Download this white paper from Dell and Intel® to learn more. Intel Inside®. Powerful Productivity Outside. Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.
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Dell
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet
Published By: IBM     Published Date: Jan 09, 2017
According to the 2016 State of Endpoint Security Survey released by the SANS™ Institute 44% of respondents report that one or more of their endpoints have been breached in the past 24 months. - Desktops, laptops and servers are the most compromised endpoints - Login and access credentials are the most commonly exfiltrated information - 55% of respondents spend 3 or more hours per compromised endpoint - Over 70% of respondents find it difficult or impossible to determine when an incident is fully remediated These statistics encompass a wide set of industries, from financial services to education. So while each network is uniquely built to support your particular business, none is immune from being breached."
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ibm, security, big fix, endpoint security, sans report, network security, enterprise applications, business technology
    
IBM
Published By: Sprinklr     Published Date: Nov 22, 2016
A quick fact sheet that details the reach and audience of major messaging apps to help companies know which platform would be best suited to their audience.
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messaging app research, messaging app data, social media data, social media intelligence, snapchat data, snapchat statistics, wechat data, wechat statistics, whatsapp statistics, whatsapp data, line statistics, line data
    
Sprinklr
Published By: IBM     Published Date: Oct 18, 2016
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data. Get this valuable resource now.
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ibm, analytics, big data, information governance, ecm, information lifecycle governance, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
"According to the 2016 State of Endpoint Security Survey released by the SANS™ Institute 44% of respondents report that one or more of their endpoints have been breached in the past 24 months. - Desktops, laptops and servers are the most compromised endpoints - Login and access credentials are the most commonly exfiltrated information - 55% of respondents spend 3 or more hours per compromised endpoint - Over 70% of respondents find it difficult or impossible to determine when an incident is fully remediated These statistics encompass a wide set of industries, from financial services to education. So while each network is uniquely built to support your particular business, none is immune from being breached."
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ibm, security, big fix, endpoint security, sans report, network security, networking, enterprise applications
    
IBM
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