machine learning

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By: Gigaom     Published Date: Oct 24, 2019
A huge array of BI, analytics, data prep and machine learning platforms exist in the market, and each of those may have a variety of connectors to different databases, file systems and applications, both on-premises and in the cloud. But in today’s world of myriad data sources, simple connectivity is just table stakes. What’s essential is a data access strategy that accounts for the variety of data sources out there, including relational and NoSQL databases, file formats across storage systems — even enterprise SaaS applications — and can make them all consumable by tools and applications built for tabular data. In today’s data-driven business environment, fitting omni-structured data and disparate applications into a consistent data API makes comprehensive integration, and insights, achievable. Want to learn more and map out your data access strategy? Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guests, Eric
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     Gigaom
By: Amazon Web Services EMEA     Published Date: Oct 17, 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: Oracle EMEA     Published Date: Oct 11, 2019
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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     Oracle EMEA
By: Oracle EMEA     Published Date: Oct 11, 2019
This webinar demonstrates how Autonomous Database benefits your whole organisation. It’s so easy to use – simply load and run. And there’s no need to be an expert, business colleagues with no machine learning experience can use Autonomous Database in an intuitive way. Your role is key in empowering them to gain insights and generate reports from real-time data.
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     Oracle EMEA
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: Oracle EMEA     Published Date: Oct 08, 2019
Data management doesn’t come easier than this. Thanks to machine learning, artificial intelligence and the power of the cloud just about anyone can gain insight of their data. Easy to install, just tell the service level what you want and it does the rest. Oracle Autonomous Database self-repairs, patches automatically and counters threats with artificial intelligence. Autonomous for Dummies? We think its pretty smart.
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     Oracle EMEA
By: Gigaom     Published Date: Oct 07, 2019
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions. To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions th
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     Gigaom
By: Look Listen     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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     Look Listen
By: SailPoint Technologies     Published Date: Oct 01, 2019
Find out how government agencies can use machine learning and artificial intelligence to discover and prevent potential cybersecurity gaps and risks. Download the brief.
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     SailPoint Technologies
By: Oracle     Published Date: Sep 30, 2019
Do you want more powerful insights from your data? Are you looking for ways to make your data more secure? Hear how you can do this using technology, AI, machine learning, and automation in a secure, compliant, and sustainable way. In this episode of tomorrow talks with IDC and Oracle the conversation moves on from who’s responsible for data security to making sure data delivers value. To find out more download the webinar today.
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     Oracle
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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     PatSnap
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. This Magic Quadrant assesses 15 vendors to help you make the best choice for your organization.
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     Group M_IBM Q4'19
By: Inside HPC Media LLC     Published Date: Sep 24, 2019
The 2019 version of High Performance Computing (HPC) has changed considerably from previous years’. Most notably, advancements in Artificial Intelligence (AI) has given rise to data-centric applications in machine learning. Machine learning often relies on HPC technologies, particularly in the early training phase, and in many cases, machine learning initiatives share infrastructure, budgets, and personnel with established HPC installations. A 2018 Intersect360 Research study found that the majority of experienced HPC users had also embarked on machine learning applications, usually overlapping HPC and AI.
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     Inside HPC Media LLC
By: Inside HPC Media LLC     Published Date: Sep 24, 2019
Artificial Intelligence (AI) is rapidly becoming an essential business and research tool, providing valuable new insights into corporate data and delivering those insights with high velocity and accuracy. Enterprises, universities, and government organizations are investing tremendous resources to develop a wide array of future-focused Deep Learning (DL) and Machine Learning (ML) solutions such as: • Autonomous vehicles that circulate unassisted in our cities • Real-time fraud detection that protects shopping and internet transactions • Natural language translators that remove language barriers • Augmented reality that delivers a far richer entertainment experience • Accelerated drug discovery • Fully enabled personalized medicine and remote health diagnostics
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     Inside HPC Media LLC
By: Adobe     Published Date: Sep 23, 2019
Forrester names Adobe as a Leader in customer analytics, according to the Forrester Wave: Customer Analytics Solutions, Q2 2018 report. SUPPORTING CONCEPTS: • We’re a Leader. But we won’t stop there. Adobe Analytics provides a superior product, executive vision, and strategy. We understand the needs of today’s marketers and customer insights professions, while staying ahead of the curve on future analytics trends. • Adobe Analytics fuels insight-driven customer experiences. Adobe has turned its mantra of “Make Experience Your Business” inward, by developing a marketer-friendly solution that doesn’t skimp on advanced analytical functionality. • Adobe Analytics excels at real-time conversion of insights into action, superior usability, and AI-powered customer journey analytics. • Adobe Analytics’ capabilities, such as Virtual Analyst, powered by Adobe Sensei, use artificial intelligence and machine learning to identify anomalies, contributing factors, and segment differences. What
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     Adobe
By: HERE Technologies     Published Date: Sep 23, 2019
It’s time to move your supply chain into the realm of super-intelligent. This special report is for anyone looking to enhance their supply chain operations by utilizing the latest in technological advances such as artificial intelligence (AI), machine learning and the Internet of Things (IoT). With smart use of these tools, businesses can anticipate problems and develop solutions before they occur. Forward-thinking leaders are using this disruption to optimize their supply chains and push the quality of their findings to a whole new level. In it, you’ll learn: • The markers of a truly cognitive supply chain • The crucial role of location intelligence in supply chain optimization • The impact increased visibility has on every area of your supply chain, including asset, inventory, fleet and energy management
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     HERE Technologies
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: BlackBerry Cylance     Published Date: Sep 18, 2019
There will be a ransomware attack on businesses every 14 seconds by the end of 2019 . Every 40 seconds, one of those attacks will prove successful , with devastating effects ranging from permanent loss of irreplaceable data to life-threatening interruptions to patient care. In years past, expert malware authors packaged up their know-how into costly exploit kits sold on the underground market. Cyber criminals had to recover high upfront costs before launching a campaign and realizing a profit. Today, ransomware-as a-service groups like Satan make it easier than ever before for would-be cyber criminals with minimal technical skills to launch attacks, offering free ransomware toolkits and hands-on help to manage campaigns and extort payments. Read our white paper to learn how CylancePROTECT® prevents Petya, Goldeneye, WannaCry, Satan, and many more from executing, with machine learning models dating back to September 2015, long before the ransomware first appeared in the wild.
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     BlackBerry Cylance
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
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
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