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Predictive Maintenance Infographic

Published By: Group M_IBM Q4'19     Published Date: Oct 01, 2019
Infographic: Want to get more out of your asset management efforts? Time to include predictive maintenance.
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Group M_IBM Q4'19

Predictive Maintenance: Analytics Helps a Car Company Reduce Repairs

Published By: IBM     Published Date: Feb 10, 2014
A car company thought they had a problem with their brake lights. Predictive analytics helped reveal the true culprit.
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ibm, ibm business analytics, operational analytics, predictive maintenance, insights, data analysis, roi, asset management
    
IBM

Predictive maintenance: How data can increase production

Published By: TIBCO Software     Published Date: Aug 15, 2018
Produced in collaboration with INFOPRO Digital with participation from Capgemini MAINTENANCE MADE EASY WITH THE HELP OF DATA Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.
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TIBCO Software

Predictive Maintenance: How to Improve Productivity and Reduce Costs

Published By: IBM Software     Published Date: Feb 03, 2012
Download this white paper from IBM, and learn the basics of predictive maintenance, the benefits it provides manufacturing operations and the underlying technologies that make it possible.
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ibm, operations, productivity, maintenance, operations, manufacturing, technology
    
IBM Software

Predictive Malware Response Test

Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
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malware, predictive, test, response
    
BlackBerry Cylance

Predictive Online Ad Targeting: Benefits of a Pixel-Free Approach

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

Predictive Prioritization: Data Science Lets You Focus on the 3% of Vulnerabilities Lik

Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable

Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most

Published By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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Tenable

Predictive Scheduling: What You Need to Know And How to Be Ready

Published By: HotSchedules     Published Date: Jul 28, 2017
If you work in the service or hospitality industry, you know the business impacts of new legislation are a constant concern. Laws regulating wages, overtime and paid sick leave can affect the bottom line if your business doesn’t comply, and now a new beast is rearing its head. The Fight for Fifteen movement is gaining momentum, pushing for a $15 minimum wage and inspiring lawmakers to explore new legislation designed to improve labor scheduling in restaurants, and in turn, the lives of employees. What does that mean for your business? This eBook will break down what you need to know, from the impacts on owner-operators to ways you can get in front of the issue.
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predictive scheduling, regulation, minimum wage, employee satisfaction
    
HotSchedules

Predictive service excellence for printers

Published By: Quocirca     Published Date: Feb 23, 2009
Networked printers and multifunction peripherals often require a high level of support and manual intervention. Secure remote monitoring platforms reduce device downtime through automating service alerts, providing proactive toner replenishment and automatic meter reading. End users benefit through improved device uptime, and manufacturers and their service partners can build proactive service relationships which can drive greater customer loyalty.
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quocirca, printers, networked printers, multifunction peripherals, secure remote monitoring, document output devices, remote monitoring, managed print service (mps)
    
Quocirca

Predictive Threat and Risk Management Meeting the Challenges of a Smarter Planet

Published By: IBM     Published Date: May 07, 2015
Learn how to build a proactive threat and fraud strategy based on business analytics. You’ll see extensive examples of how organizations worldwide apply IBM Business Analytics solutions to minimize the negative impact of risk and maximize positive results.
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business analytics, risk management, threat management, fraud, proactive threat, analytics solutions, reduce exposure, reduce threats
    
IBM

Predictive Threat and Risk Management: Meeting the Challenges of a Smarter Planet

Published By: IBM Software     Published Date: Feb 03, 2012
This paper from IBM describes how to build a proactive threat and risk strategy based on predictive analytics; examples of how organizations used predictive analytics to minimize the negative impact of risk and maximize positive results; and steps to advance your organization's use of predictive analytics to combat threat and risk.
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predictive threat, security, technology, risk management, security policy, ibm, intrustion protection, access control
    
IBM Software

Predictive Threat and Risk Management: Meeting the Challenges of a Smarter Planet

Published By: IBM Software     Published Date: Oct 24, 2011
This paper describes how to build a proactive threat and risk strategy based on predictive analytics and provides real life examples of the benefits.
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ibm, predictive analytics, collaboration, insights, integration, automation, smarter, data analysis
    
IBM Software

Predictive Threat and Risk Management: Meeting the Challenges of a Smarter Planet

Published By: IBM     Published Date: Jan 27, 2016
This paper describes how predictive analytics can play a critical role in your threat and risk strategy.
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ibm, threat, risk, management, security, analytics, fraud, enterprise applications
    
IBM

Predictive Threat and Risk Management: Meeting the Challenges of a Smarter Planet

Published By: IBM     Published Date: Oct 26, 2016
In this paper, you’ll explore how business analytics can form the foundation for a proactive threat management strategy. - See examples of how different types of organizations are applying analytics. - Learn practical steps you can take to combat threat and fraud in your own organization.
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ibm, analytics, predictive analytics, risk management, enterprise applications, business technology
    
IBM

PREDICTIVE VIDEO DELIVERY

Published By: Akamai     Published Date: Mar 08, 2017
Video leads mobile data traffic. Read this infographic to find out more facts about video and mobile data traffic.
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video, mobile data traffic, mobile data, mobile video, infographic
    
Akamai

Predictive vs. Anticipatory: Understanding the Best Analytic Approach

Published By: Dun & Bradstreet     Published Date: Jul 06, 2016
What’s the best analytic approach for your business?
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Dun & Bradstreet

Predictive vs. Anticipatory: Understanding the Best Analytic Approach

Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet

Predictive vs. Anticipatory: Understanding the Best Analytic Approach

Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
What’s the best analytic approach for your business? As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology. If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored. In this document, you’ll learn: • The advantages of anticipatory analytics • The key enablers of anticipatory analytics • How anticipatory can be leveraged for your business • Why anticipatory can give you first-mover advantage • When to use anticipatory or predictive analytics, based on your goals
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Dun & Bradstreet

Prepare Your Organization to Capitalize on Predictive Analytics

Published By: SAS     Published Date: Apr 21, 2015
High-performing organizations leverage the power of analytics by channeling their efforts in four areas: focus, adopt, adapt, and activate. These companies have embraced a new paradigm that promotes agility, fast execution, and lasting organizational change.
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SAS

Providing a Frontline Defense Against Fileless Malware

Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Fileless attacks surged in 2017, largely due to their ability to bypass traditional antivirus solutions. Last year was host to several fileless malware victories. OceanLotus Group infiltrated Asian corporations during Operation Cobalt Kitty, and conducted nearly six months of fileless operations before detection. Ransomware hall-of-famers Petya and WannaCry both implemented fileless techniques in their kill chains. Every major player in information security agrees that fileless attacks are difficult to stop, and the threats are growing worse. Abandoning files is a logical and tactical response to traditional AV solutions which have overcommitted to file-intensive and signature-based blacklists. What can security solutions offer when there are no infected files to detect? How will a blacklist stop an aggressor that only uses legitimate system resources? The security landscape is changing and the divide between traditional AV products and next-generation security solutions is growing wider by the day. Cylance® has built a reputation on security driven by artificial intelligence and provides a frontline defense against fileless malware. This document details how Cylance protects organizations.
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malware, predictive, test, response
    
BlackBerry Cylance

Putting Predictive Models to Work: Deploy, Embed and Prosper

Published By: IBM     Published Date: May 22, 2015
In this webinar, we will discuss the broad range of IBM deployment approaches that can help organizations solve their business challenges and achieve a higher ROI from analytics.
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analytics, roi, management, ibm, strategy, bandwidth management, analytical applications, business intelligence
    
IBM

Quantifying the value of counter fraud Analytics in insurance

Published By: IBM     Published Date: Jan 26, 2017
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
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ibm, analytics, fraud analytics, insurance, fraud
    
IBM

Real-time Risk Detection: Addressing the challenge of false positives using machine learning

Published By: TIBCO Software     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software

Recognize the Many Faces of Fraud

Published By: IBM     Published Date: Jul 24, 2012
Detect and prevent fraud by finding subtle patterns and associations in your data. IBM SPSS predictive analytics solutions have proved to be very effective at helping tax collection agencies to maximize revenues by detecting non-compliance more efficiently and by focusing investigations on cases that are likely to yield the biggest tax adjustments.
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fraud, business, healthcare, taxes, government, ibm, spss
    
IBM
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