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machine learning

Results 1 - 25 of 362Sort Results By: Published Date | Title | Company Name
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
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
By: KPMG     Published Date: Jun 06, 2019
What impact will the cloud-enabled workplace have on your cybersecurity strategy? This year’s research shows that organisations are navigating a myriad of both old and new cybersecurity challenges to bring the cloud into scope. Read this to discover: • how growing cloud dependency has created distinctive challenges around cyber security • what the biggest cyber challenges are for organisations in this context • how intelligent automation and machine learning is being used to overcome operational obstacles hampering cloud security • a set of cybersecurity considerations for modern IT environments.
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KPMG
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
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
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
By: Acoustic     Published Date: Oct 04, 2019
Simply put: Marketing isn’t what it used to be. If you want to compete in this rapid digital world, you need to make your customers happy. Constantly. We’ll get you started with nine of the most exciting trends developing in the world of marketing in 2019. With this report, you’ll learn: How the new director of marketing data position and GDPR compliance can build customer trust. What it means for customer centricity now that MarTech and AdTech are finally coming together with AI and machine learning. How to adjust your business purpose to create customer loyalty as the attention economy shifts to the emotion economy.
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Acoustic
By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
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
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
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
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
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
By: TIBCO Software     Published Date: Sep 16, 2019
Lo que aprenderá: • Aplicar la analítica avanzada y las técnicas de machine learning / IA a fin de optimizar procesos de manufactura complejos • De qué manera el control de procesos estadísticos de múltiples variantes puede ayudar a detectar las desviaciones en una base de referencia • Cómo monitorear el OEE en tiempo real y producir una vista de 360 grados de su fábrica Asimismo, el webinar también da cuenta de los casos de estudio de nuestros clientes que ya han implementado con éxito los modelos de optimización de procesos.
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TIBCO Software
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
By: Workday     Published Date: Oct 22, 2019
In the latest issue of our CIO Perspectives magazine, discover how IT executives are leading the way in innovation with exciting new technologies such as blockchain and machine learning. Read now to learn more.
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Workday
By: Workday     Published Date: Oct 22, 2019
This whitepaper explores how machine learning can make your HR and finance ERP solutions smarter and more agile and efficient. Read now to discover how Workday leverages AI to deliver value you can trust.
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Workday
By: Five9     Published Date: Oct 29, 2019
Today’s organizations compete on customer experience and this trend will define the shape and scope of contact centers well into the next decade. To deliver the level of seamless experiences that customers expect, contact centers will need to harness all the advantages technology can offer – specifically, the cloud – to create an “intelligent cloud contact center” that utilizes machine learning and real-time data analysis. So, step one is to move your contact center to the cloud. ASAP. Once you are operating a cloud contact center, the next step is to start leveraging everything this enables you to do. This is where the “Intelligent Cloud Contact Center” comes into play.”
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Five9
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
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
By: PatSnap     Published Date: Sep 27, 2019
Out-of-box tools that use AI, machine-learning, and real-time intelligence are driving the commercialization of IP today. However, IP professionals are faced with a dizzying array of offerings on the market. What features are must haves for IP teams in 2019? What processes will streamline the commercialization process? This eBook works as a clear guide in identifying the tools IP teams need to commercialize with confidence, in 4 easy-to-action workflow tips: 1. Confirming patent novelty easily 2. Deciding on ideas that are worth pursuing 3. Collating key data via analysis and patent landscaping faster 4. Mitigating bottlenecks through interdepartmental collaboration
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research and development, intellectual property, innovation
    
PatSnap
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
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
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: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
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