model management

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Published By: TIBCO Software     Published Date: Nov 07, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: Adobe     Published Date: Oct 10, 2019
In this white paper we discuss the opportunities and challenges associated with customer experience management and highlight three key areas of future focus for successful European marketing leaders: customer consent management in marketing in the light of GDPR; the future of AI-driven customer engagement in marketing; and customer journey management as the new mantra and operating model for marketing operations management. Our observations and conclusions are backed by rigorous research results based on a representative sample of telephone interviews with marketing leaders across Europe. We hope you enjoy this paper and would be interested to hear your feedback. We believe the paper provides the benchmarks and insights to guide the next generation of marketing domain digital technology deployments and beyond into enterprisewide customer experience management.
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Adobe
Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Dell EMC Storage     Published Date: Sep 03, 2019
The move to data-centric business models is geared to enable organizations to turn their data into data capital. Because of the more stringent performance, scalability, availability, flexibility, and management requirements of the data-centric model, these organizations must modernize their storage and data protection infrastructure through the process of IT transformation. This white paper defines data capital, describes how boosting data capital is a critical ingredient for competitive differentiation, and discusses the implications for data storage and data protection infrastructure. It then turns to an overview of the Dell EMC storage and data protection portfolio, exploring the benefits these solutions offer to organizations interested in crafting the most effective infrastructure to maximize the value of data capital. Dell EMC Transformation powered by Intel®
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Dell EMC Storage
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: Dell EMC Storage     Published Date: Aug 20, 2019
The move to data-centric business models is geared to enable organizations to turn their data into data capital. Because of the more stringent performance, scalability, availability, flexibility, and management requirements of the data-centric model, these organizations must modernize their storage and data protection infrastructure through the process of IT transformation. This white paper defines data capital, describes how boosting data capital is a critical ingredient for competitive differentiation, and discusses the implications for data storage and data protection infrastructure. It then turns to an overview of the Dell EMC storage and data protection portfolio, exploring the benefits these solutions offer to organizations interested in crafting the most effective infrastructure to maximize the value of data capital.
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Dell EMC Storage
Published By: TIBCO Software     Published Date: Aug 02, 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
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Entrust Datacard     Published Date: Jul 23, 2019
PKI is becoming a critical underpinning to help organizations succeed as they roll out new digital business models. Establishing a trusted infrastructure through PKI will help businesses take smart risks, evolve quickly and manage relationships with customers, partners, vendors and employees more effectively. Certificate management is a crucial part of a robust PKI implementation, ensuring visibility and adherence to policy throughout the certificate lifecycle: from identity vetting, to issuance, to renewal to revocation. As Gartner noted in its recent report, “PKI is Gearing Up for the Internet of Things”
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Entrust Datacard
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
Tags : 
    
TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: Apptio     Published Date: Jul 16, 2019
Get the poster that maps AWS, Azure, and GCP services to a standard IT taxonomy. The Apptio TBM Unified Model® (ATUM®) standardizes the financial information necessary for IT leaders to manage their technology business. Download the Cloud Cost Management Poster for best practices to: - Map AWS and Azure billing to a standard taxonomy - Better understand cloud costs and usage to avoid surprises and drive accountability - Optimize resources by taking action on underutilized and idle instances
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Apptio
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q3'19
Published By: IBM APAC     Published Date: Jun 21, 2019
Understanding cloud environments and making decisions about multiloucd management can be complex. Questions arise, such as how organizations need to change in this multicloud world. Working with enterprise customers, IBM has identified ten key pain points and related best practices that help organizations successfully navigate these transformations. This covers the following key pain points: • Cost transparency and visibility • Dynamic, up-to-date Catalog • IT to operate in two, connected models • Standardized consumption • Aggregated services for added value • Integration remains a necessity • Control without obstruction • Challenges of user management • Primary consumption: Machine-to-machine purchase • Internal and external IT role changes
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IBM APAC
Published By: HP Inc.     Published Date: Jun 20, 2019
Reduce costs and increase efficiency under the new "as a service" model: Research findings from IDC To understand the true value of adopting the as-a-service model, International Data Corp. (IDC), a market intelligence provider, conducted an HP-sponsored survey of organizations with at least 750 end-user devices across nine countries, and found that device management services can curtail costs, reduce IT workload and support a more streamlined and efficient way of doing business.
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HP Inc.
Published By: KPMG     Published Date: Jun 06, 2019
Rapidly changing business models are driving fresh interest in zero-based cost management. Read this insight to discover: • the potential benefits of zero-based budgeting • how to avoid key mistakes associated with this budgeting approach • five principles to apply to create the conditions for zero-based success.
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KPMG
Published By: SQAD     Published Date: May 28, 2019
Marketers have more complexity than ever to manage. It's time to adjust and improve legacy business models. To learn more about modern media management for brand advertisers, download the whitepaper and click the link at the end of the PDF to access a short video.
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SQAD
Published By: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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Domino Data Lab
Published By: VMware SD-WAN by VeloCloud     Published Date: May 21, 2019
As organizations prioritize digital transformation initiatives, many are finding that legacy networks are holding them back. To support new business models, cloud adoption, and an explosion in connected devices, modern networks must support interoperability across data centers, multiple clouds, branch locations, and edge devices. Applications now run at every point on this spectrum, and they are critical to businesses’ ability to win in hypercompetitive marketplaces. Yet, even as business success has become more dependent on this new architecture, and the amount of data flowing across connections has increased, many organizations still lack a unified approach to management, automation, and security
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VMware SD-WAN by VeloCloud
Published By: TIBCO Software     Published Date: May 16, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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data, applications, analytics, algorithms, innovation, cloud, technology, customer, banking
    
TIBCO Software
Published By: VMware     Published Date: Apr 09, 2019
Lower your data center costs with VMware vSan. In this infographic, we’ll show you how to reduce CAPEX and OPEX with a pay-as-you-grow model that enables rapid application deployment and easy ongoing management.
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VMware
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
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