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Published By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
First Citizens Bank & Trust Company is a chartered commercial bank offering a complete line of financial services. With over 200 point-to-point applications and disparate systems, the bank needed a way to reduce its applications portfolio and streamline integration among systems, including fast integration of systems from newly acquired banks. First Citizens turned to TIBCO ActiveMatrix BusinessWorks™ and TIBCO® Messaging for their simplicity and ability to quickly get IT processes up and running. With standard services, this transformation resulted in reduced deployment time—from eight months to 18 weeks, resulting in reduced credit card loan project time.
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TIBCO Software
Published By: TIBCO Software     Published Date: Aug 02, 2019
As an insurer, the challenges you face today are unprecedented. Siloed and heterogeneous existing systems make understanding what’s going on inside and outside your business difficult and costly. Your systems weren’t set up to take advantage of, or even handle, the volume, velocity, and variety of new data streaming in from the internet of things, sensors, wearables, telematics, weather, social media, and more. And they weren’t designed for heavy human interaction. Millennials demand immediate information and services across digital channels. Can your systems keep up?
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TIBCO Software
Published By: ConnectWise     Published Date: Aug 22, 2019
Switching to a managed services model where clients pay you a fixed monthly rate to manage their entire IT infrastructure. If done correctly, this transition can be a lifeline to reliable revenue in a shifting market. Making the transition from an unsteady break-fix model to a proactive managed services model will require a systematic plan with well-thought-out steps that range from understanding your target market to implementing essential automation. If you’re considering becoming a managed service provider (MSP), these six steps can help. As you read through them, keep in mind that the best strategy is to have a strategy.
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ConnectWise
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
Published By: Dome9     Published Date: Apr 25, 2018
The term “Cloud First” was initially popularized by Vivek Kundra, who formerly held the post of White House CIO and launched this strategy for U.S. federal government IT modernization at the Cloud Security Alliance Summit 2011. The underlying philosophy of the cloud-first strategy is that organizations must initially evaluate the suitability of cloud computing to address emergent business requirements before other alternatives are considered. This paper offers guidance to help organizations establish a systematic and repeatable process for implementing a cloud-first strategy. It offers a high-level framework for identifying the right stakeholders and engaging with them at the right time to reduce the risk, liabilities, and inefficiencies that organizations can experience as a result of adhoc cloud decisions. The goal of this guidance is to help ensure that any new cloud program is secure, compliant, efficient, and successfully implements the organization’s key business initiatives.
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Dome9
Published By: Box     Published Date: Jul 29, 2019
Den meisten CIOs ist heute bewusst, dass Initiativen zum digitalen Wandel dazu beitragen können, Geschäftsprozesse zu optimieren, die Ef?zienz zu steigern und die Wettbewerbsfähigkeit zu erhöhen. Auf lange Sicht initiieren sie dadurch die Modernisierung und Zukunftsorientierung des Unternehmens. Einige der laufenden Transformationsinitiativen – auch in vielen wachstumsstarken Unternehmen – haben mit der Problematik zu kämpfen, den explosionsartigen Anstieg von unstrukturierten Daten zu verwalten und den damit verbundenen höheren Compliance- und Sicherheitsanforderungen gerecht zu werden. Zum Glück können neue Lösungen, die künstliche Intelligenz (KI) einsetzen, nicht genutzte Informationen aus unstrukturierten Daten extrahieren, beispielsweise aus Dokumenten, Bildern, Videos und Audiodateien. KI trägt auch dazu bei, viele der zeitaufwendigen Prozesse zur Klassi?zierung, Organisation und Analyse unstrukturierter Daten zu automatisieren.
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Box
Published By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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industry, advantage, linguistic, grammatical, statistical analysis, content
    
IBM APAC
Published By: Collaborative Consulting     Published Date: Dec 20, 2013
Social, Mobile, Analytics and Cloud (SMAC), have broad potential to provide huge business value, while simultaneously presenting potentially overwhelming challenges. The rapid technology changes supporting SMAC and the overall complexity involved demand a systematic approach to building out your SMAC capability.
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collaborative consulting, creating opportunities, driving disruption, social, mobile, analytics, cloud, infrastructure, elastic computing capacity, cloud computing, social network, mobile web, wireless data networks, drive change, social media
    
Collaborative Consulting
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"The Enterprise Strategy Group put HPE SimpliVity hyperconverged infrastructure through its paces in a series of hands-on performance and stress tests simulating real-world configurations and load conditions. Read this report to learn how an HPE SimpliVity infrastructure: Ran nine workloads simultaneously, with an average response time across all applications of 3.9ms Showed little to no performance impact as a virtual controller, drive, and node were systematically failed on a two-node cluster."
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hyperconverged, infrastructure, simplivity
    
Hewlett Packard Enterprise
Published By: Brightidea     Published Date: Feb 05, 2016
What’s in the eBook? We all know it is critical to innovate before competitors – and the race is on to do so! This ebook should help you do just that — harness innovation at your company and build a marquis innovation program. It can be much harder than anticipated so our systematic, programmatic approach described in this ebook will help. Please download our ebook and learn about: - Six steps to improve (and establish) enterprise innovation - Success stories from Fortune 500 companies - The future of innovation, innovation programs and how you can prepare for it
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Brightidea
Published By: Evariant     Published Date: Sep 07, 2016
Marketers face a unique challenge to allocate resources across a variety of tactics to target key audiences that need their product or service – with limited information on what combination of products or services will have the optimum impact, which target audience members are ideal fits, and what allocations will provide the best return on investment to the organization. Healthcare has its own myriad of challenges, including many local, regional, and national options for consumers, service line variations, and disparate demographics. The good news is that there is an emerging understanding of digital and multichannel marketing, and ample opportunity to define best practices, systematically calculate marketing effectiveness and return on marketing investment (ROMI), and use technology and data to create great business outcomes.
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evariant, multi-channel marketing, hospital, patient engagement, digital marketing
    
Evariant
Published By: SambaSaftey     Published Date: Mar 15, 2019
Three myths about driver safety can cause business leaders to make dangerous decisions -- exposing their organizations to unnecessary risk. Our free white paper Driver Monitoring: Myth vs. Reality, will show you: • Why background checks, public records, and license checks are inadequate • Why pulling Motor Vehicle Records once or twice a year isn’t enough • How to go beyond telematics and GPS to create real behavioral insights • The four best practices for comprehensive driver monitoring
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SambaSaftey
Published By: Qualys     Published Date: Jul 20, 2012
Vulnerability Management (VM) means systematically finding and eliminating network vulnerabilities. Choosing a solution for VM is a critical step toward protecting your organization's network and data. Without proven, automated technology for precise detection and remediation, no network can withstand the daily onslaught of new vulnerabilities that threaten security. This checklist from Qualys provides a 12 point shortlist of considerations to determine what solutions will work best for your organization.
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technology, security, vulnerabilities, internet, virus, solutions, vulnerability management
    
Qualys
Published By: JBoss Developer     Published Date: Oct 21, 2016
This competitive review between Red Hat and TIBCO integration technologies has presented multiple differences between the products. A notable difference is that only Red Hat JBoss Fuse is a 100% open source product. Red Hat is committed to leveraging existing open source projects and using open standards whenever possible for both product implementation and integration communication. This includes Camel, the de-facto integration standard included with Red Hat JBoss Fuse. Red Hat’s open source commitment extends to Active MQ, the upstream messaging technology used with JBoss A-MQ and included with Red Hat JBoss Fuse. Another difference is that Red Hat JBoss Fuse clustering is based on the upstream Fabric8 community project and offers much more functionality than TIBCO clustering options.
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cloud, technology, competitive advantage, queuing protocol, open source
    
JBoss Developer
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: CA Technologies EMEA     Published Date: Oct 20, 2017
Sie müssen stets für das kontinuierliche Wachstum Ihres Unternehmens sorgen. Im Zuge der anhaltenden Dynamik der Application Economy setzen Sie zur Förderung dieses Wachstum vermutlich auf digitale Unternehmensinitiativen. Wie organisieren und verwalten Sie nun am besten ein APIProgramm, ohne Ihr geistiges Eigentum außerhalb des Unternehmens auf problematische Weise zu exponieren? Nachfolgend stellen wir eine Reihe von Early Adopters vor, die ihr Wachstum erfolgreich mit APIs befördert haben.
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api, application programming interface, psd2, open banking, json, github, secure gateway, microservices, api gateway, apim, api management, full api lifecycle, restful web services, rest, integration, api portal
    
CA Technologies EMEA
Published By: SAP     Published Date: Nov 22, 2017
Many energy and natural resource (ENR) companies still rely on static, error prone data sources. Using static data in assumptions that are made on actual production costs, operating capacity, and yields is no longer sufficient to compete successfully in today’s market, a situation made more problematic given that the ENR industry faces reduced market prices for products, increased costs for operations and an onslaught of new competitors.
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companies, operating capacity, sufficient, successfully, market, enr, industry
    
SAP
Published By: SAP     Published Date: Nov 04, 2015
Download this executive summary of the 2015 Customer Experience Risk Study and learn: -Why at-risk customers often account for over 10% of potential revenue -How retailers miss over 80% of problem occurrences -How to take a customer-value lens to understand problematic experiences -How to measure on impact, as the frequency of issues can be deceiving
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customer experience, sap, at-risk customers, potential revenue, problem occurences, customer-value, measuring on impact, emerging marketing, crm & customer care, marketing research, retail
    
SAP
Published By: Davis & Company     Published Date: May 11, 2015
Overcome your fear of employee communication measurement by learning to measure communications more systematically, consistently and easily.
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employee communication measurement, efficiency
    
Davis & Company
Published By: Lookout     Published Date: Dec 11, 2018
"Phishing on mobile is the biggest unsolved cybersecurity problem in the enterprise today. This is because phishing is both different and more problematic on the mobile device. "
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Lookout
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
Le odierne aziende orientate alle metodologie DevOps e Agile puntano a cambiamenti rapidi e deployment veloci. Per queste aziende l'architettura dei microservizi è un vantaggio, ma non una soluzione ottimale. Le aziende possono offrire ai team di sviluppo di piccole dimensioni più autonomia e agilità e, di conseguenza, si noterà una maggiore adeguatezza dell'IT alle aspettative mutevoli del business.
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modularità, velocità di delivery, zero deployment, deployment automatizzato, coesione, separazione delle problematiche, ca technologies
    
CA Technologies EMEA
Published By: Schneider Electric     Published Date: Feb 12, 2018
Many of the mysteries of equipment failure, downtime, software and data corruption, are the result of a problematic supply of power. There is also a common problem with describing power problems in a standard way. This white paper will describe the most common types of power disturbances, what can cause them, what they can do to your critical equipment, and how to safeguard your equipment, using the IEEE standards for describing power quality problems.
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Schneider Electric
Published By: Pure Storage     Published Date: Oct 09, 2018
Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Pure FlashBlade™ solution from Pure Storage to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.
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Pure Storage
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
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