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Published By: TIBCO Software     Published Date: Sep 16, 2019
Los bancos de todo el mundo están apostando fuertemente a la inteligencia artificial y el machine learning a fin de obtener la ventaja tecnológica que necesitan para ofrecer servicios bancarios más personalizados, predictivos y en tiempo real. Un marco ayudará a diferenciar a los primeros ganadores y ofrecerles ventajas continuas en inteligencia. Descargue este IDC Analyst Infobrief que le permitirá conocer cómo los mejores bancos del mundo se están volviendo más personales, más predictivos, y más en tiempo real que nunca. Lo que usted conocerá: • Las ocho tendencias que reflejan el nivel de preparación de los bancos para la inteligencia conectada • Los nueve obstáculos que evitar y las nueve formas de salvar las brechas • Los elementos básicos personales, predictivos y de tiempo real de la IA y el ML para los bancos • Los líderes destacados de acuerdo con la investigación de IDC Financial Insights y sus respectivos casos de uso • Una guía esencial de IDC para los bancos líderes
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
Servicios Financieros es una industria en la que la innovación siempre está presente. Los modelos de negocio transformadores como las casas de bolsa de bajo costo, los productos de inversión innovadores como los fondos de inversión cotizados, y las regulaciones estrictas como Gramm-Leach-Bliley son algunos ejemplos. Otros ejemplos incluyen: • Las nuevas firmas fintech, como la reciente inversión de nueve mil millones de dólares hecha en Ant Financial Services Group, y un sinnúmero de otras empresas emergentes similares apoyadas con capital de riesgo, están apuntando a segmentos bien establecidos de la industria de servicios financieros. • Servicios de gestores automatizados potenciados por la inteligencia artificial y el machine learning que apoyan a los asesores financieros y a los gestores de carteras • Las regulaciones y las leyes para el manejo de riesgos que cambian constantemente, como GDPR, Basilea III y Open Banking, y que transforman la manera en que se interactúa con los
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
La transformación digital de la institución de servicios financiera familiar más grande de América, con una historia que data de tres generaciones atrás. Entérese de cómo la función de los datos cambió en el banco durante la evolución de la experiencia del cliente. First Citizens Bank ha estado utilizando la integración y la tecnología analítica avanzada de TIBCO para ofrecer a sus clientes una experiencia de autoservicio consistente y continua, con el propósito de combatir el fraude y brindar servicios financieros más precisos y proactivos.
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TIBCO Software
Published By: Shell     Published Date: May 30, 2019
For turbomachinery operators in the power generation sector, finding ways to reduce total cost of ownership and maintenance costs by maximising asset availability and reliability is a top priority. Understanding and controlling the rate at which turbine oils degrade, and dealing with the by-products formed, are vital steps toward maximising turbomachinery availability.
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Shell
Published By: Adobe     Published Date: Oct 08, 2019
You cannot accurately predict what your customer will want next. Artificial intelligence can. WHY SHOULD THE TARGET AUDIENCE CARE? By 2020, businesses that use AI and related technologies like machine learning and deep learning to uncover new insights will take $1.2 trillion each year from competitors that don't. (Source: Forrester.) SUPPORTING CONCEPTS: At any moment, anywhere in the world, on any kind of device, a prospect or customer is raising her hand and saying, "I'm your best opportunity. Don't ignore me." She's telling you that by every action she's taken and every interaction you've had up to that point. You can consider each bit of data you've collected across her journey a meaningful expression of intent. And with that, you will know how to give her an experience that's above her expectations and beyond her imagination. You need many different technologies in your marketing stack to manage personalization, but AI makes them all work together seamlessly. You can: –
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Adobe
Published By: Marketo     Published Date: Sep 03, 2019
Your website is the hub of interaction between your company and your customers, and in an increasingly competitive digital landscape, today's buyers aren't simply looking for a one-size-fits-all customer experience. Web personalization empowers you to provide more relevant experiences to online visitors and speak to them with personalized messages at scale. It enables you to communicate across all marketing channels with a consistent voice and user experience that builds trust, engagement, revenue, and loyalty. In this ebook, discover how to: Integrate web personalization into your marketing strategy Incorporate cross-channel marketing in your web personalization strategy Create content to maximize the impact of personalization Leverage AI and machine learning to provide personalized web content Measure impact and success Choose the right web personalization tool for you Build a website that accelerates engagement, conversion, and retention by downloading the Introductory Guide to
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Marketo
Published By: BlackBerry Cylance     Published Date: Sep 18, 2019
There is now broad consensus among security professionals that artificial intelligence (AI) technologies can play an important role in reducing cyber risks. Exactly what that role is, however, and how it will evolve over time remains unclear for respondents to a new SANS Institute research study sponsored by BlackBerry Cylance. Opinions varied about the maturity of AI, its benefits and risks, and the baseline requirements for an AI-enabled security solution. Download the report today for the complete survey results and learn: 1) How perceptions of AI vary across industry sectors and organizational roles and responsibilities; 2) How AI technologies compare and contrast with human intelligence; 3) How machine learning is driving advances in the field; 4) What respondents believe to be the greatest risks and benefits of AI; and, 5) The most significant barriers to broader AI adoption.
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BlackBerry Cylance
Published By: Lenovo UK     Published Date: Nov 09, 2018
El aumento de la movilidad está causando un dolor de cabeza a los equipos de TI en todas partes, con el potencial de mayores costos y riesgos. Pero con ThinkPad impulsado por los procesadores Intel® Core™ i7 vPro™, obtiene seguridad 360, durabilidad confiable y productividad sin compromisos en todos y cada uno de los dispositivos. Obtenga más información en nuestro documento técnico. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, el logotipo de Intel, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, el logotipo de Intel Inside, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, Xeon Inside y Intel Optane son marcas comerciales de Intel Corporation o de sus filiales en Estados Unidos y/o en otros países.
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Lenovo UK
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: Spectrum Enterprise     Published Date: Aug 22, 2019
Hello, greetings, and welcome to Conversational Unified Communications. I’m Brien Posey. For those of you who don’t know me, I am a long time Conversational Geek author, and 17-time Microsoft MVP. My professional background is in both IT and in commercial astronautics. It’s an odd combination for sure. I sometimes find myself setting up virtual machines on one day, and being strapped into a space capsule the next day (seriously). Thankfully, Peter, Nick, and the rest of the folks at Conversational Geek have embraced my unorthodox (dare I say eccentric) career choices and have allowed me to author books on subjects ranging from the cloud computing to real life rocket science. I would like to personally invite you to go to ConversationalGeek.com and check out some of these other books. In this book, I want to talk about unified communications. Those of you who follow my work may recall that back in 2009 I wrote another book about unified communications called Brien Posey’s Guide to Pract
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Spectrum Enterprise
Published By: Box     Published Date: Jun 22, 2018
• Facing a myriad of challenges from digital transformation, business today are making big bets on the best collaboration tools they need on hand to meet those challenges. From employee buy-in, to machine-learning capabilities, to security, it's important to select a service with the right capabilities to further your business goals. The challenge, however, is that with so many services to choose from it can be difficult to figure out which one is the right fit for your business. • This eBook, 5 Considerations in Choosing a Collaboration Platform in the Digital Age, will walk you through the ins and outs of what to keep in mind as you choose the best collaboration platform for you.
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Box
Published By: Coupa     Published Date: Dec 14, 2018
Business Spend Management Improves Visibility and Control Over Spend for Financial Leaders Closing the books can be a tedious, manual process when accrual balances don’t match AP balances and a backlog of invoices cause an increase in resource hours. Get insight on how Salesforce and Ionis Pharmaceuticals leverage business spend management to streamline the financial close. Read this eBook to learn how to: • Automate spend processes to cut heavy manual workloads • Gain full visibility and control over spend • Move from transactional “spreadsheet jockey” to strategic management • Minimize risk associated with missed accruals
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Coupa
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Today’s idea-driven economy calls for a simpler, faster virtualization solution—one that can be managed by one IT generalist vs. numerous IT specialists. Enter HPE Hyper Converged 380, an advanced, virtualized system from Hewlett Packard Enterprise. Based on the HPE ProLiant DL380 Gen9 Server, this enterprise-grade VM vending machine enables you to quickly deploy VMs, simplify IT operations, and reduce overall costs like no other hyperconverged system available today.
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information technology, it specialist, cost reduction, hyper convergence
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Infographic based on the InfoSight report.
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Hewlett Packard Enterprise
Published By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
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storage, backup, recovery, best practices, networking, it management, enterprise applications, data management, backup and recovery, network attached storage, storage management
    
Commvault
Published By: Pentaho     Published Date: Nov 04, 2015
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, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho
Published By: Cisco     Published Date: Jan 05, 2015
Virtualization has transformed the data center over the past decade. IT departments use virtualization to consolidate multiple server workloads onto a smaller number of more powerful servers. They use virtualization to scale existing applications by adding more virtual machines to support them, and they deploy new applications without having to purchase additional servers to do so. They achieve greater resource utilization by balancing workloads across a large pool of servers in real time—and they respond more quickly to changes in workload or server availability by moving virtual machines between physical servers. Virtualized environments support private clouds on which application engineers can now provision their own virtual servers and networks in environments that expand and contract on demand.
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datacenter, data management, collaborations, business capabilities
    
Cisco
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
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Oracle
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Storage is normally the first suspect when identifying the causes of the App-Data Gap, but the facts tell a different story. Flash Alone Isn’t Enough. Infrastructure complexity makes it difficult to pinpoint the real problem, resulting in: • Extended downtime and frustration • Inefficient use of IT resources and budget • Long hours spent resolving cross-vendor issues
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Hewlett Packard Enterprise
Published By: Carbonite     Published Date: Jul 18, 2018
Businesses virtualize to consolidate resources, reduce costs and increase workforce mobility. But failing to protect VMs with purpose-built protection could erase some of those gains. Here are five essential requirements IT managers should look for when deploying data protection for virtual environments.
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Carbonite
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
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