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By: TIBCO Software     Published Date: Nov 18, 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
By: TIBCO Software     Published Date: Nov 18, 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
By: TIBCO Software     Published Date: Nov 18, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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     TIBCO Software
By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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     Intel
By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
Tags : iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
"The term Value Network describes enterprises that truly connect into a network of partners that collaborate and communicate with lightning speed and agility. The supply chain is now overshadowed by interconnected Value Networks. One example for Value networks applications is the digital twin, where the physical environment is replicated in a virtual model to harmonize new product design, process design and manufacturing design with planning, logistics, service and execution. When the virtual world and real world truly work together, we are able to speed up decision-making, reduce risk and cost, deliver great customer experiences, and minimize waste to make businesses more sustainable. Dassault Systèmes DELMIA,powered by the 3DEXPERIENCE platform, delivers the solutions to industries and service providers to transform their operations and orchestrate their entire Value Network."
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Im Zeitalter der Erlebnisse üben Kundenerwartungen einen enormen Druck auf Anbieter aus Industrie und Dienstleistungsgewerbe aus: für Entwicklung, Konstruktion, Support, Transport, Planung und Distribution wird ein unvergleichlich hohes Niveau erwartet. Jetzt ist es an der Zeit, neue Technologien zu nutzen, um die virtuelle Welt der Modellierung und Simulation mit der realen Welt der Betriebsprozesse zu verbinden, von Fabrik über Logistik bis hin zu Mitarbeitern. Die Lösung von Dassault Systemès bietet eine modellbasierte und datengesteuerte Plattform, die Silos zwischen verschiedenen funktionalen Anwendern aus den Bereichen Engineering, Fertigung, Betrieb und Dienstleistern beseitigt.
Tags : digitaler zwilling, digitale kontinuität, digitale fabrik
     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Wie sieht die Zukunft der Fertigung aus? Hersteller müssen heutzutage stärker integriert und agiler sein denn je. Mit dem 3DEXPERIENCE Twin können Hersteller Fertigungsanlagen, Produkte und Verfahren modellieren, noch bevor der reale Prozess oder das Produkt überhaupt existiert. Der 3DEXPERIENCE Twin verbindet die virtuelle und die reale Welt für mehr Innovation und Effizienz in der Fertigung. Das eBook von Dassault Systèmes vermittelt Ihnen die wichtigsten Herausfoderungen der zukünftigen Fertigung und zeigt auf, wie diese durch eine intelligente Fabrik gemeistert werden können.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Im Zeitalter der Erlebnisse üben Kundenerwartungen einen enormen Druck auf Anbieter aus Industrie und Dienstleistungsgewerbe aus: für Entwicklung, Konstruktion, Support, Transport, Planung und Distribution wird ein unvergleichlich hohes Niveau erwartet. Jetzt ist es an der Zeit, neue Technologien zu nutzen, um die virtuelle Welt der Modellierung und Simulation mit der realen Welt der Betriebsprozesse zu verbinden, von Fabrik über Logistik bis hin zu Mitarbeitern. Die Lösung von Dassault Systemès bietet eine modellbasierte und datengesteuerte Plattform, die Silos zwischen verschiedenen funktionalen Anwendern aus den Bereichen Engineering, Fertigung, Betrieb und Dienstleistern beseitigt.
Tags : digitaler zwilling, digitale kontinuität, digitale fabrik
     Dassault Systèmes
By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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     SAS
By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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     MicroStrategy
By: MicroStrategy     Published Date: Nov 08, 2019
The Constellation AstroChartTM research supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplinary approach that
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     MicroStrategy
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.
Tags : 
     TIBCO Software
By: TIBCO Software     Published Date: Nov 07, 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
By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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     TIBCO Software
By: Box     Published Date: Nov 07, 2019
Mit der digitalen Transformation stehen Unternehmen vor beispiellosen Herausforderungen, was den Schutz ihrer Arbeit und die Aufrechterhaltung der Compliance in ihren Unternehmens-Ökosystemen angeht. Technologieund IT-Prozesse haben sich verändert und IT-Services haben sich von einem zentralen hin zu einem höchst dezentralen Computernutzungsmodell entwickelt. Mobilität, Cloud-Services und Consumer Apps haben den Bedarf der Mitarbeiter erhöht, jederzeit, überall und von jedem Gerät aus arbeiten zu können.
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     Box
By: Matrixx Software - Kingpin     Published Date: Nov 07, 2019
Achieving long-term profitability for 5G will require a major shift in thinking for many operators. Given the investments and capacity upgrades involved, simply treating 5G as just “another G” is a doomed strategy. Instead, 5G must be seen as an opportunity to re-energize the Telco business model and to move away from traditional commoditized network offerings. Download the discussion paper to learn: Five key questions the Telco C-suite should be asking to drive sustained 5G profitability Why 5G will require a major change in business strategy and IT delivery models How 5G can re-energize the Telco business model
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     Matrixx Software - Kingpin
By: Group M_IBM Q4'19     Published Date: Nov 06, 2019
This presentation takes you through the auto industry's move toward more sophisticated levels of compliance among suppliers and OEMs. Learn how achieving ASPICE can be integrated into your engineering 'v' model for improved workflow and built-in tools for achieving compliance.
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     Group M_IBM Q4'19
By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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     Dell - NVIDIA
By: Hewlett Packard Enterprise     Published Date: Nov 01, 2019
"Extracting value from data is central to the digital transformation required for businesses to succeed in the decades to come. Buried in data are insights that reveals what your customers need and how they want to receive it, how sales, manufacturing, distribution, and other aspects of business operations are functioning, what risks are arising to threaten the business, and more. That insight empowers your businesses to reach new customers, develop and deliver new products, to operate more efficiently and more effectively, and even to develop new business models. "
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     Hewlett Packard Enterprise
By: Dell EMC Storage     Published Date: Nov 01, 2019
El traslado a los modelos de negocios centrados en los datos está orientado a permitir que las organizaciones conviertan sus datos en un capital de datos. Los requisitos más estrictos de rendimiento, escalabilidad, disponibilidad, flexibilidad y administración del modelo centrado en los datos, exigen que estas organizaciones deban modernizar su infraestructura de almacenamiento y protección de datos a través del proceso de transformación de TI. Esta documentación técnica define el capital de datos, describe cómo aumentar el capital de datos es un ingrediente crítico para la diferenciación competitiva y analiza las implicaciones de la infraestructura de protección y almacenamiento de datos. Luego, recurre a una visión general del portafolio de almacenamiento y protección de datos de Dell EMC, analiza los beneficios que ofrecen estas soluciones a organizaciones interesadas en la creación de la infraestructura más eficaz para maximizar el valor del capital de datos. Download this whitepap
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     Dell EMC Storage
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