predictive

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Data infrastructure for managing Population Health

Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health

Bluewater Reporting: Analytics Consulting

Published By: Bluewater Learning     Published Date: Nov 02, 2018
Would you like to make better-informed decisions about where to invest your time & resources? Are you interested in gaining more insight into what is working, what isn't, & why? There is a movement towards advanced & predictive analytics in the Learning & Talent Management space. But what does that really mean? Bluewater's team of consultants & developers can help you define what analytics means for your company.
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Bluewater Learning

Algorithmic Insurance

Published By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software

Intelligent Fraud Management – Banking and Insurance

Published By: TIBCO Software     Published Date: Mar 04, 2019
A perfect storm of legislation, market dynamics, and increasingly sophisticated fraud strategies requires you to be proactive in detecting fraud quicker and more effectively. TIBCO’s Fraud Management Platform allows you to meet ever-increasing requirements faster than traditional in-house development, easier than off-the-shelf systems, and with more control because you’re in charge of priorities, not a vendor. All this is achieved using a single engine that can combine traditional rules with newer predictive analytics models. In this webinar you will learn: Why a fraud management platform is necessary How to gain an understanding of the components of a fraud management platform The benefits of implementing a fraud management platform How the TIBCO platform has helped other companies Unable to attend live? We got you. Register anyway and receive the recording after the event.
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TIBCO Software

Connected Intelligence in the World’s Best Banks

Published By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
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data, analytics, customer, banks, intelligence, capabilities, customers, insights
    
TIBCO Software

Connected Intelligent Assets

Published By: TIBCO Software     Published Date: Aug 20, 2019
The oil field is being dynamically transformed through the connective power of the Internet, the advancements in remote connected sensors, and the possibilities of machine learning and artificial intelligence (AI). As the quest for hydrocarbons and alternative energy sources extends into deeper and harsher environments, operators, service companies, and asset owners are leveraging technology advancements to ensure their employees are safer, their fields are more productive, and their capital assets are operating at peak efficiency.
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machine learning, predictive analytics, hydrocarbons, oil&gas, cybersecurity, asset efficiency, safety
    
TIBCO Software

11 Analytics Use Cases for Getting the Most From Smart Grid Data

Published By: TIBCO Software     Published Date: Aug 20, 2019
“How will we use all the data from the smart grid?”
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greater efficiency, demand forecasting, advanced analytics, smart meters, predictive analytics, data security
    
TIBCO Software

Digital Transformation Trends in Public Safety

Published By: Fujitsu America, Inc.     Published Date: Oct 22, 2018
Most of the public and its public safety professionals live and work in a digital world of mobile devices instant connectivity, and geo-location. This one powerful fact, is changing the way police and first responders react to incidents and interact with the communities they serve. Types and severity of incidents are also changing, due in part to socio-cultural and environmental factors. Complicated risk scenarios requiring inter-agency coordination are occurring in both urban areas and once-sleepy suburban towns. To perform in this volatile new reality, public safety is undergoing a digital transformation focusing more on predictive and preventive practices. Download this whitepaper today to find out how Fujitsu can help your organisation today. Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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business solutions, integrated management, public sector
    
Fujitsu America, Inc.

Digital Transformation Trends in Public Safety

Published By: Fujitsu America, Inc.     Published Date: Jan 22, 2019
Most of the public and its public safety professionals live and work in a digital world of mobile devices, instant connectivity, and geo-location. This one powerful fact is changing the way police and first responders react to incidents and interact with the communities they serve. Types and severity of incidents are also changing, due in part to socio-cultural and environmental factors. Complicated risk scenarios requiring inter-agency coordination are occurring in both urban areas and once-sleepy suburban towns. To perform in this volatile new reality, public safety is undergoing a digital transformation focusing more on predictive and preventive practices.1 With the help of advanced technologies, citizens and trusted partners, agencies are: Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Fujitsu America, Inc.

Predictive Coding: The Next Frontier in Legal eDiscovery

Published By: Rand Secure Archive     Published Date: Jun 06, 2013
Without a doubt, technology has revolutionized the way business is done. The vast majority of internal and external communication is now done through email, instant messaging, VOIP and other types of electronic communication. In addition, most business documents exist in digital form. The digitization of business has had significant implications for litigation. Legal eDiscovery is now an essential part of settling cases between organizations. Previously, many companies believed that eDiscovery was only for organizations that were public or highly regulated, but now most companies recognize that electronically stored information (ESI) regulations are applicable to all organizations and there is an ever-increasing need for cost-effective eDiscovery.
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coding, ediscovery, legal, effective, organization, networking, security, it management
    
Rand Secure Archive

2017 EMEA & APAC Ethics & Compliance Whistleblowing Hotline & Incident Management Benchmark Report

Published By: NAVEX Global     Published Date: Dec 07, 2017
Good analysis and benchmarking of hotline data helps organisations answer crucial questions about their ethics and compliance programme, including: Does our culture support employees who raise concerns? Are our communications with employees reaching the intended audiences and having the desired effect? Are our investigations thorough and effective? Do we need more training? Do we need to review or update our policies? Do employees know about our reporting channels? Comparing internal data year over year to help answer these questions is important. But getting a broader perspective on how your performance matches up to industry norms is critical. This year’s analysis of our EMEA & APAC data from nearly 14,000 ethics and compliance hotline reports revealed key data points that compliance professionals can use to benchmark and assess their programme’s performance, and move toward predictive risk mitigation.
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navex, ethics and compliance software, hotline data, risk mitigation, incident management systems
    
NAVEX Global

IDC Analyst Report: A New Breed of Servers for Digital Transformation

Published By: IBM APAC     Published Date: Mar 19, 2018
IDC Analyst Report: A New Breed of Servers for Digital Transformation Most organizations today are on a digital transformation journey and a server infrastructure is a critical component of that journey. Read the IDC Analyst Report “A New Breed of Servers for Digital Transformation" to find out: • A roadmap for servers in three stages - from running simple stateless web applications to adopting open source DBMSs to cloud to predictive modeling • How you can take advantage of OpenPOWER-based infrastructure from a price/performance perspective • Ways to lower your IT spend and increase your workloads with minimal investment
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IBM APAC

Be Insight-Driven

Published By: Oracle     Published Date: Apr 23, 2015
This white paper reveals how most advanced organisations are using predictive analytics to reveal where future opportunities lie, and to deploy resources and training accordingly.
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be insight-driven, insights, sales, data, social media, smart use of data, analytic, improve analytical capabilities
    
Oracle

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Published By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
    
Pentaho

The Power of Predictive Analytics

Published By: Sybase     Published Date: Dec 01, 2011
Learn why Sybase IQ is purpose-built for predictive analytics.
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analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
    
Sybase

Unlocking the Mystery of Predictive Modeling for Retailers

Published By: Epsilon     Published Date: Oct 19, 2012
Unlock the Mystery of Predictive Modeling -- Retailers that use customer transactional data to their advantage, coupled with other database elements, can learn how to build solid customer relationships and strengthen their ROI.
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modeling, epsilon, marketing, marketing research, roi, transactional data
    
Epsilon

Detect and Investigate Malicious IP Activities in SIEM with Predictive Threat Intelligence

Published By: Webroot Inc     Published Date: Jan 15, 2015
The old canon of long-lived viruses with random targets created by hacktivists for fame or nuisance has given way to a new generation zeroday/hour threats from organized criminals, with hand-picked targets and specific, malicious intent. In mid-2014, on a daily basis, Webroot saw 25,000 new malicious URLs, 777,000 new unknown files, many of which are malicious, and 1,000 new phishing sites. In the face of such exponential growth, traditional, reactive security can’t hope to keep up. Not only is the volume of unknown threats overwhelming existing security solutions, but the unique characteristics of unknown threats are also making it difficult for traditional security to catch them.
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threat intelligence, malicious ip activity, reactive security, security solutions, security
    
Webroot Inc

The Best is Yet to Come

Published By: Adobe     Published Date: Sep 20, 2016
Download The Best is Yet to Come, phase three in in our data-driven marketing series, to learn how predictive marketing can help you deliver customers experiences that really connect. By making the most of your customer data, you’ll learn to communicate in the ways your customers expect and demand. Get the guide to learn how predictive marketing can help you: • Automate and personalize messages • Refine and improve campaigns • Mature your digital marketing
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adobe, marketing, data driven marketing, marketrs, predictive marketing
    
Adobe

Citizen Data Analytics: Give everyone a shot at the action

Published By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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Adobe

The Modern Email Marketing RFP: A Guide for Online Media & Digital Publishing Enterprises

Published By: Sailthru     Published Date: Aug 15, 2016
Download this guide to discover how to find a partner that moves beyond antiquated batch-and-blast methodologies to impact: -Audience retention rates -Subscription conversion -Advertising revenue -Effective reporting and predictive analytics Who should download: -Online Media and Digital Publishing Executives -Directors of Audience Development, CRM, and Engagement -Email Marketing Managers
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sailthru, online media, digital publishing, rfp, request for proposal, email marketing, direct marketing
    
Sailthru

The Modern Email Marketing RFP: A Guide for the Internet Retailer Top 1,000

Published By: Sailthru     Published Date: Aug 15, 2016
Download this guide to discover how to find a partner that moves beyond antiquated batch-and-blast methodologies to impact: -Customer retention rates and revenue -Personalization sophistication -Cross-channel marketing capabilities -Effective reporting, impactful data and predictive analytics Who should download: -Internet Retailer Top 1,000 Digital Marketing executives -Directors of CRM and Ecomme
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sailthru, retail, rfp, request for proposal, marketing, internet retailer, top 1000
    
Sailthru

The Customer Decision Hub – What’s inside your customer brain?

Published By: Pega     Published Date: Sep 11, 2015
In this e-book, Pegasystems’ Vince Jeffs explains why firms must aspire to win over fickle and demanding consumers and to do it efficiently and effectively - they need a Customer Decision Hub – a customer relationship management brain with memory and predictive intelligence.
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Pega

DER and Analytics: How New Analytics Platforms Meet a Critical Need

Published By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
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cost-benefit analysis, der, analytics, platform, utility, smart grid
    
Landis + Gyr

Modern Data Warehousing on AWS

Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS

Achieving 93% Faster Time to Insight with the Power of Artificial Intelligence

Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
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