predictive

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Learn Why a Multinational Bank turns to FICO for IFRS 9 Impairment Provision Readiness?

Published By: FICO     Published Date: Feb 06, 2017
FICO is helping the bank construct the most predictive and effective expected loss models possible and is also helping it assess risk impact across portfolios
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FICO

The Practical, Profitable Magic of Prescriptive Analytics

Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO

The Science of Cybersecurity Predictive Analytics

Published By: FICO     Published Date: Mar 22, 2018
Predictive analytics provide the foresight to understand cybersecurity risk exposure. Cybersecurity strategies often consist of “whack-a-mole” exercises focused on the perpetual detection and mitigation of vulnerabilities. As a result, organizations must re-think the ever-escalating costs associated with vulnerability management. After all, the daily flow of cybersecurity incidents and publicized data breaches, across all industries, calls into question the feasibility of achieving and maintaining a fully effective defense. The time is right to review the risk management and risk quantifcation methods applied in other disciplines to determine their applicability to cybersecurity. Security scoring is a hot topic, and rightfully so. When evaluating ways to integrate these scores into your cybersecurity strategy, be sure to look for an empirical approach to model development. The FICO Enterprise Security Score is the most accurate, predictive security score on the market.
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FICO

Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime

Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv

Can We Stop Cybercrime Before It Happens?

Published By: Forcepoint     Published Date: May 14, 2019
In Philip K. Dick's 1956 "The Minority Report," murder ceased to occur due to the work of the "Pre-Crime Division," that anticipated and prevented killings before they happened. Today, we are only beginning to see the impact of predictive analytics upon cybersecurity – especially for insider threat detection and prevention. Based on user interaction with data, CISOs and their teams emerge as the IT equivalent of a Pre-Crime Division, empowered to intervene before a violation is ever committed. Watch this webcast where we examine the technologies which make predictive analytics valuable, along with ethically minded guidance to strike the balance between vigilance and privacy.
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Forcepoint

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.

7 Ways to Operations Reliability with APM

Published By: GE Power     Published Date: Sep 16, 2016
In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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general electric, apm, asset performance management, performance management, operations, data analytics, network performance, network performance management, application performance management, business analytics, analytical applications, information management, productivity
    
GE Power

7 Ways to Operations Reliability with APM

Published By: GE Power     Published Date: Oct 05, 2016
Ten Billion dollars in production is lost annually from unplanned downtime in the power sector. 95% of alarms don’t matter. In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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power plant asset management software, plants operation management software, asset performance management system, emissions management software
    
GE Power

Ovum—Best Practices for Deploying a Modern, Predictive IVR System

Published By: Genesys     Published Date: May 10, 2016
Integrating Phone Self-Service Into the Omnichannel Customer Experience
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genesys, ovum, ivr, modern, predictive, self service, customer experience, omnichannel, enterprise applications, business technology
    
Genesys

Altocloud White Paper: Analyzing and Shaping Customer Journeys

Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys

ContactBabel: The US Contact Center Decision-Makers' Guide: The Self-Services Chapter

Published By: Genesys     Published Date: Jun 13, 2018
When building artificial intelligence (AI) into your business strategy, it’s easy to become distracted by all the new technologies on the market—each one promising a better customer experience. Make decisions based on facts, not misconceptions. When you evaluate AI technologies, consider these facts: • Bots working with human agents enables a seamless customer journey • Automated self-service costs as little as 20 cents per interaction • A single platform makes it easier to deliver personalized, proactive and predictive experiences See how AI connects customer conversations in this new analyst guide, 2017 ContactBabel Inner Circle Guide to Self-Services.
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artificial intelligence, customer experience, customer journey, self-servic e, personalization
    
Genesys

ContactBabel: The US Contact Center Decision-Makers' Guide: The Self-Services Chapter

Published By: Genesys     Published Date: Jul 13, 2018
When building artificial intelligence (AI) into your business strategy, it’s easy to become distracted by all the new technologies on the market—each one promising a better customer experience. Make decisions based on facts, not misconceptions. When you evaluate AI technologies, consider these facts: • Bots working with human agents enables a seamless customer journey • Automated self-service costs as little as 20 cents per interaction • A single platform makes it easier to deliver personalized, proactive and predictive experiences See how AI connects customer conversations in this new analyst guide, 2017 ContactBabel Inner Circle Guide to Self-Services.
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Genesys

Demystifying AI: Creating an AI partnership that maximizes business results

Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys

How AI can improve contact center and agent performance

Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys

Predictive Analytics Assessment

Published By: Group M_IBM Q1'18     Published Date: Feb 15, 2018
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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analytics assessment, business decisions, predictive analytics, analytics
    
Group M_IBM Q1'18

Keeping online students on track

Published By: Group M_IBM Q1'18     Published Date: Feb 15, 2018
IBM SPSS predictive analytics solutions help uncover key predictors that lead to online student success or failure. Identifying specific issues early, target intervention measures for at-risk students, and take the appropriate steps to help improve online student graduation rates.
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online education, online students, graduation rates, spss
    
Group M_IBM Q1'18

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q3'19

Optimize on-demand delivery routes with real-time, predictive and historical data

Published By: HERE Technologies     Published Date: Mar 06, 2019
On-demand companies rely on fast, accurate and robust mapping and location technologies to provide their users with a superior experience. Find out how real-time, predictive and historical traffic data can be applied to traffic-enabled routing algorithms to influence route calculations and automatically plot multiple routes with waypoints sequencing. Discover how HERE can help you communicate updated ETAs and provide an optimized experience to your drivers and customers.
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location data, transport & logistics, location services
    
HERE Technologies

Optimize on-demand delivery routes with real-time, predictive and historical data

Published By: Here Technologies     Published Date: Apr 01, 2019
On-demand companies rely on fast, accurate and robust mapping and location technologies to provide their users with a superior experience. Find out how real-time, predictive and historical traffic data can be applied to traffic-enabled routing algorithms to influence route calculations and automatically plot multiple routes with waypoints sequencing. Discover how HERE can help you communicate updated ETAs and provide an optimized experience to your drivers and customers.
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location data, transport & logistics, location services
    
Here Technologies

Faster Applications with Predictive Flash eGuide

Published By: Hewlett Packard Enterprise     Published Date: Feb 12, 2018
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs. HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
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Hewlett Packard Enterprise

Accessing the Financial Impact of HPE InfoSight Predictive Analytics

Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
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financial, optimization, hpe, predictive, analytics
    
Hewlett Packard Enterprise
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