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Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 09, 2019
Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay.¹ As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world.
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F5 Networks Singapore Pte Ltd
Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Security analysts have a tougher job than ever. New vulnerabilities and security attacks used to be a monthly occurrence, but now they make the headlines almost every day. It’s become much more difficult to effectively monitor and protect all the data passing through your systems. Automated attacks from bad bots that mimic human behavior have raised the stakes, allowing criminals to have machines do the work for them. Not only that, these bots leave an overwhelming number of alert bells, false positives, and inherent stress in their wake for security practitioners to sift through. Today, you really need a significant edge when combating automated threats launched from all parts of the world. Where to start? With spending less time investigating all that noise in your logs."
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F5 Networks Singapore Pte Ltd
Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay.1 As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world."
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F5 Networks Singapore Pte Ltd
Published By: KPMG     Published Date: Jun 06, 2019
High-volume administrative tasks are a feature of every business. We helped a global bank develop a machine learning algorithm to help with the task of reviewing over 100,000 ‘sanctions alerts’ every day. Read this story to find out: • what other benefits AI can deliver beyond cost savings • how AI tools achieve greater accuracy than human reviewers • what it takes to apply AI and Machine Learning successfully in a regulated sector.
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KPMG
Published By: TIBCO Software     Published Date: Jul 22, 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. Spe
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TIBCO Software
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
Das Speicher-Array InfiniBox® für Unternehmensanwendungen bietet höhere Performance als reine Flash-Lösungen, hohe Verfügbarkeit und Multi-Petabyte-Skalierbarkeit für Aufgaben mit gemischten Anwendungen. Zero-Impact-Snapshots und Aktiv/Aktiv-Replizierung sorgen für enorm verbesserte Business-Agilität, und FIPS-validierte Verschlüsselung für ruhende Daten macht das sichere Löschen von nicht mehr benötigten Arrays überflüssig. Mit InfiniBox können IT-Organisationen in Unternehmen sowie Anbieter von Cloud-Diensten ihre Service-Level-Ziele übertreffen und gleichzeitig Kosten und Komplexität ihrer Speicherumgebung im Petabyte-Maßstab reduzieren.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
I Big Data e gli analytics workloads sono la nuova frontiera per le aziende. I dati vengono raccolti da fonti che non esistevano 10 anni fa. Tutti i dati dei telefoni cellulari, i dati generati dalle macchine e i dati relativi all’interazione con i siti vengono raccolti e analizzati. Inoltre, con i budget IT sempre più sotto pressione, l’impatto ambientale dei Big Data non fa che aumentare e pone grandi sfi de per i sistemi storage. Questo documento fornisce informazioni sulle problematiche che le applicazioni dei Big Data pongono sullo storage e su come scegliere le più corrette infrastrutture per ottimizzare e consolidare le applicazioni dei Big Data e degli analytics, senza prosciugare le fi nanze.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
Le Big Data et les charges analytiques constituent une nouvelle frontière pour les entreprises. Les données collectées émanent de sources inexistantes il y a 10 ans. Les données des smartphones, celles générées par des machines et par les interactions avec les sites web sont collectées et analysées. De plus, dans un contexte où les budgets IT sont déjà sous pression, les empreintes Big Data s’étendent et posent d’énormes problèmes de stockage. Ce livre blanc délivre des informations sur les problématiques liées aux applications Big Data pour les systèmes de stockage et explique en quoi le choix de la bonne infrastructure de stockage peut rationaliser et consolider les applications d’analyse du Big Data sans faire sauter la banque.
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Infinidat EMEA
Published By: Alert Logic     Published Date: Oct 25, 2019
Container adoption continues to grow as organizations look to transition from virtual machines to microservices-based architectures, known for their increased efficiency, portability, and scalability. But while containers afford an additional layer of security through their ability to isolate applications, a containerized environment is still susceptible to malicious attacks between containers or the within the shared resources of the underlying host. Download this eBook to learn how you can develop a stronger security strategy for your AWS container deployments, from start to finish. Key takeaways include: • Planning for maximum portability • Setting permissions for users and system resources • Creating an action plan based on log monitoring and IDS data
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Alert Logic
Published By: Jamf     Published Date: Aug 06, 2019
Today, more than 100-plus million users rely on Windows 7. For these users, a new technology age is coming on January 14, 2020 when Microsoft officially ends extended support for Windows 7. With a change required, this is the ideal time for organizations to determine if they want to migrate to Windows 10 or look to modernize their workplace by following the growing trend of enterprises that have introduced employee choice programs and Mac to their environment. This e-book examines the options organizations have and how they can make the most beneficial and economical decision.
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Jamf
Published By: Jamf     Published Date: Oct 18, 2019
Since its origin, Apple has been instrumental in helping higher education institutions provide the right resources to faculty and students. As the must-have tool for researchers and on-the-go professors, Mac and its wealth of available apps help ensure success in studies ranging from medical to music to business. To get the most out of the Mac platform, an Apple-focused management solution is needed.
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Jamf
Published By: TIBCO Software     Published Date: Sep 16, 2019
A indústria de petróleo está sendo transformado de maneira dinâmica graças ao poder de conexão da Internet, aos avanços nos sensores conectados remotamente e às possibilidades que o machine learning e a inteligência artificial (IA) oferecem. À medida que a busca por hidrocarbonetos e fontes alternativas de energia se estende a ambientes mais profundos e hostis, operadores, empresas de serviços e proprietários de ativos estão aproveitando os avanços tecnológicos para garantir que seus funcionários estejam mais seguros, seus campos sejam mais produtivos e seus ativos operem com eficiência máxima.
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
Os bancos em todo o mundo estão apostando muito em inteligência artificial e machine learning para lhes dar a vantagem tecnológica necessária para obter serviços bancários em tempo real, personalizados e preditivos. Um marco ajudará a diferenciar os primeiros ganhadores e fornecerá vantagens contínuas em inteligência. Faça o download deste IDC Analyst Infobrief para saber como os melhores bancos do mundo estão se tornando mais pessoais, preditivos e mais em tempo real do que nunca. O que você conhecerá: • 8 tendências que refletem o nível de preparação do banco para a inteligência conectada • 9 armadilhas para evitar e 9 maneiras de pular os obstáculos • Os elementos básicos pessoais, preditivos e em tempo real da IA e ML para os bancos • Líderes de destaque com base na pesquisa da IDC Financial Insights e em seus respectivos casos de uso • Orientação essencial do IDC para os bancos líderes
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
La industria petrolera se está transformando de manera dinámica gracias el poder de conexión del Internet, los avances en sensores remotos conectados, y las posibilidades que ofrece el machine learning y la inteligencia artificial (IA). A medida que la búsqueda de hidrocarburos y fuentes de energías alternativas se amplía a entornos más profundos y hostiles, los operadores, las compañías de servicios y los propietarios de los recursos están aprovechando los avances tecnológicos para garantizar que sus empleados estén más seguros, sus campos sean más productivos y sus activos fijos estén operando a su máximo nivel de eficiencia.
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
La manera en que ponemos en marcha nuestros vehículos, calentamos nuestros hogares e impulsamos nuestras industrias está cambiando de manera radical. Las tecnologías que se han implementado a gran escala pero que resultan ser ineficientes, como los automóviles que utilizan motores de combustión interna, están siendo reemplazadas con alternativas electrificadas y más efectivas. Y las energías renovables como la solar, la eólica y la térmica, entre otras, apoyadas por el almacenamiento en baterías de próxima generación, están atendiendo un porcentaje cada vez mayor de la demanda de energía. Este reporte aborda cómo el proveedor líder de infraestructura de tecnologías de la información, TIBCO, está impulsando la transformación digital al permitir tomar mejores decisiones y realizar acciones más veloces e inteligentes a través de TIBCO® Connected Intelligence Cloud. Los siguientes ejemplos muestran cómo la tecnología de TIBCO está ayudando a las empresas de la industria energética:
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
Endesa es una compañía de energía líder en España y Portugal con alrededor de 10,000 empleados, que provee servicios a más de 11 millones de clientes. La empresa tiene el compromiso de promover una cultura energética más sustentable y busca estar a la vanguardia en la transformación tecnológica de la industria energética. Para cumplir con este objetivo, Endesa se unió al Enel Group en 2009, una firma energética multinacional y el operador líder en los mercados globales de electricidad y gas, con un enfoque particular en los mercados europeos y latinoamericanos.
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TIBCO Software
Published By: TIBCO Software     Published Date: Sep 16, 2019
“¿Cómo utilizaremos todos los datos de la red inteligente?” Los productores, distribuidores y consumidores de electricidad de casi todos los países desarrollados se están haciendo esa pregunta. Los datos producidos por los medidores inteligentes, los dispositivos conectados, los generadores de energía, las presas hidroeléctricas, las granjas solares y los consumidores más sofisticados, tiene el potencial de mejorar considerablemente la confiabilidad de la generación, gestión, almacenamiento y distribución de electricidad. La analítica avanzada puede ayudar a alcanzar todo ese potencial. Pero, ¿cómo? Tiene un papel de gran relevancia en las empresas de servicios que buscan convertir los datos en dinero mediante el análisis de la información acumulada para mejorar la gestión en el lado de la demanda, la asignación de recursos y de personal, pronosticar la demanda y el mantenimiento preventivo. De hecho, la analítica está impulsando esta transformación de la industria.
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TIBCO Software
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: Iovation     Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity. Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to: Detect and respond to fraudulent activity before incurring losses Leverage human insight and machine learning to identify advanced fraud Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale Block more fraud while reducing fraud prevention costs This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
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Iovation
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: Amazon Web Services EMEA     Published Date: Nov 05, 2019
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way. This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
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Amazon Web Services EMEA
Published By: Icertis     Published Date: Oct 24, 2019
Technological innovation has changed the face of practically every industry. However, when it comes to matters of life and death, necessarily strict regulations have seen clinical trials lagging behind other lower risk industries which can put innovation into practice much more easily. In Q2 of 2019 WBR Insights and Icertis surveyed 100 Clinical Operations Directors from pharmaceutical companies across Europe to find out more about the challenges they’re facing when implementing new technologies and digital processes in their clinical trials.
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Icertis
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