machine learning

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Published By: Advizex     Published Date: Sep 25, 2013
The challenge of Big Data is more than a question of size; it’s about time to insight and action. With the exponential growth of unstructured data such as social media, video and the raw data generated by smartphones and other “intelligent” machines, businesses are buried under an avalanche of data that renders even best-effort analytics slow and sometimes unreliable. As many businesses are learning in this age of Big Data, it’s not just what you know, but when you know it and how much you trust it. Download this white paper and learn that with SAP HANA, companies can react intelligently at the speed of thought to capture new opportunities.
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sap hana, sap, real time analytics, raw data, generation, analytics, big data, business intelligence
    
Advizex
Published By: Oracle     Published Date: Apr 16, 2018
Lançado no Oracle Open World 2017, o Oracle Autonomous Database Cloud utiliza um revolucionário modelo de machine learning para habilitar a automação que elimina erros humanos e ajustes manuais, resultando em alto desempenho, disponibilidade de armazenamento e segurança a um custo muito mais baixo. Saiba como ele funciona e por que adotá-lo!
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proxima, geracao, banco, dados, lider, setor, acaba
    
Oracle
Published By: Oracle     Published Date: Apr 16, 2018
Oracle Autonomus Database Cloud, lanzada en el Oracle Open World 2017, usa un revolucionario modelo de machine learning que elimina el error humano y los ajustes manuales, para habilitar un alto rendimiento, seguridad y disponibilidad sin precedentes a un costo mucho más bajo. ¡Aprende cómo funciona y por qué adoptarlo!
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esta, aqui, nueva, generacion, bases, datos, lider, industria
    
Oracle
Published By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: • how you can leverage and operationalize analytics in your everyday business processes • improve customer relationships • grow revenue in an increasingly competitive world
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fico, customers, analytic, management, applications, solutions
    
FICO
Published By: FICO     Published Date: Mar 02, 2018
Sales and Operations Planning (S&OP) isn’t just about aligning supply and demand. Ultimately, businesses across all industries need to synchronize plans across all functions to strike the right balance between demand, resources and other constraints. Companies are realizing that their use of analytics to help improve decision making needs to evolve beyond just reporting to include machine learning and optimization. Download our latest Q&A now with published author and supply chain expert Mike Watson, and learn how virtually any S&OP decision can benefit from advanced analytics and automation. You’ll get practical advice to help build a strawman, so you can move forward quickly – before your competitors! Read this Executive Brief to know the Top 7 Questions to ask before deploying your Sales and Operations planning.
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operations, sales, supplier, inventory, resources
    
FICO
Published By: Red Hat     Published Date: Mar 28, 2019
Digital business brings to mind innovative technologies: mobile devices, intelligent sensors, wearable devices, virtual reality, chatbots, blockchain, machine learning, and other technology. For some, it also reflects the rapid rise of new digitally native businesses that have disrupted traditional business models and destabilized established companies and industry sectors. For the majority of organizations, digital business means pivoting to a culture of organizational agility, where the rapid pace of demand can only be satisfied by faster and more flexible development and delivery models. As most organizations do not have the luxury of completely rebuilding their technology foundation or immediately adopting new practices and mindsets, they are embracing gradual yet fundamental shifts in culture, processes, and technology to support greater velocity and agility.
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Red Hat
Published By: MemSQL     Published Date: Nov 15, 2017
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
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data pipelines, analytics, database, machine learning
    
MemSQL
Published By: Cloudian     Published Date: Apr 26, 2018
Data is the life-blood of artificial intelligence and machine learning (AI and ML). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships.
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Cloudian
Published By: Reltio     Published Date: Nov 20, 2018
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
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Reltio
Published By: ESADE     Published Date: Dec 20, 2018
Download to learn how Artificial Intelligence may affect the practice of management itself.
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artificial intelligence, machine learning, operations management, robot managers, business technology
    
ESADE
Published By: FICO EMEA     Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach. For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.
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analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
    
FICO EMEA
Published By: FICO EMEA     Published Date: May 31, 2019
: FICO commissioned an independent research study by TM Forum to look at how global telecommunication providers are using (and plan to use) machine learning and advanced analytics to improve the customer experience in credit risk and beyond. This in-depth report includes key insights from a global survey as well as executive interviews with leading communication service providers such as Telstra, Vodafone, Sky, Globe Telecom, and BT on their vision for leveraging artificial intelligence to stop fraud, better engage customers across channels, improve risk management, and drive collection results. Read this report to understand: o What CSPs see as the biggest drivers for deploying advanced analytics over the next two years o How and where BT, Globe Telecom, Vodafone UK, Sky and Telstra are using analytics, from marketing through origination o The opportunities and pitfalls around financing devices as opposed to or in addition to subsidising them o The scope for analytics to improve c
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csp, advanced analytics, telco, improve credit risk, reduce fraud loss
    
FICO EMEA
Published By: FICO EMEA     Published Date: Sep 02, 2019
Real-time payments mean real-time fraud – how will you adapt your fraud strategies? The roll out of real-time payment schemes has bought advantages to criminals as well as to people and businesses. Those countries that have already adopted real-time payment schemes have seen a rise in fraud including authorised push payment fraud and account takeover as well as a rise in money laundering, particularly the use of mule accounts. This executive brief looks at the impact of real-time payments on fraud and examines the changes to fraud strategy and solutions to keep it under control including: The need to assess payments for fraud in real-time. How to protect customers from authorised push payment fraud. The machine learning approaches that can underpin a successful fraud strategy that protects both banks and their customers. Download now
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real-time payment, p2p payment
    
FICO EMEA
Published By: FICO EMEA     Published Date: Sep 12, 2019
La implantación de sistemas de pago en tiempo real ha supuesto ventajas tanto para las personas y las empresas como para los delincuentes. Los países que ya han adoptado sistemas de transacciones en tiempo real han experimentado un aumento del fraude, incluido el fraude APP -Authorised Push Payment- y el fraude por apropiación indebida -Account Takeover-, así como un aumento del blanqueo de dinero, en particular el uso de cuentas de mula. Este whitepaper analiza el impacto que las transacciones en tiempo real tienen sobre el fraude y examina los cambios en las estrategias Antifraude aportando soluciones para mantenerlo bajo control, incluyendo: - La necesidad de evaluar las transacciones en tiempo real para detectar fraude - Cómo proteger a los clientes de los fraudes en las transacciones push -El papel del Machine Learning en las estrategias Antifraude.
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transacciones tiempo real, pagos en tiempo real, fraude, anti fraude, antifraude, blanqueo capitales, pagos p2p
    
FICO EMEA
Published By: Zoovu Limited     Published Date: Mar 20, 2019
Canon uses zoovu to drive engagement and brand loyalty in a crowded marketplace
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customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion
    
Zoovu Limited
Published By: Zoovu Limited     Published Date: Mar 20, 2019
Health and beauty products have always been personal and emotional purchases. More than in any other sector, consumers want products to reflect their individuality and expect them to be tailored to their ever-changing preferences, as well as their appearance and personal goals.
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customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion
    
Zoovu Limited
Published By: Zoovu Limited     Published Date: Apr 12, 2019
Customer Engagement is a huge area of interest today, and a subject that countless marketers are talking about. One thing above all is clear: the Engagement Economy provides incredible opportunity for brands. Those organizations that are willing to provide value and put the customer first will rise above the rest. To conclude, we highlight some of the key areas you should focus on: Create an effortless experience —understand customers, and use this knowledge to deliver the right level of personalized service every time. Make it easy to engage —offer a range of ways for customers to contact your organization to provide flexibility and meet the demands of a diverse customer base. Go the extra mile —creating memorable experiences can pay off and be rewarded by brand champions telling friends and family, engaging on social media and writing positive reviews.
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customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion
    
Zoovu Limited
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
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analytics, security, problem solving, creative, data, researching, malware
    
McAfee EMEA
Published By: McAfee EMEA     Published Date: Mar 14, 2018
Machine learning is all around us, from our smart home applications to driverless automobiles. The efficiency of automated decision-making is changing the game in cybersecurity, expanding the capabilities of humans by sifting through enormous quantities of data and presenting it as actionable intelligence. Machine learning makes security teams better, and vice versa. Human-machine teams deliver the best of both worlds, allowing endpoint security to continually evolve to stop new attack tactics. Your team deserves the best that cybersecurity has to offer, and today the best endpoint security products leverage machine learning.
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McAfee EMEA
Published By: McAfee EMEA     Published Date: Mar 20, 2018
Info zu diesem Bericht Pathfinder-Berichte führen Entscheidungsträger durch die Herausforderungen, die mit einer bestimmten Technologie oder einem Unternehmensaspekt in Zusammenhang stehen, untersuchen den geschäftlichen Nutzen einer Implementierung und geben Empfehlungen zu Überlegungen sowie konkreten nächsten Schritten im Entscheidungsprozess.
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McAfee EMEA
Published By: Niara     Published Date: Jan 27, 2016
Download this whitepaper to learn some common myths to consider when deploying security analytics solutions.
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security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics
    
Niara
Published By: Niara     Published Date: Jan 27, 2016
Download this white paper to learn the must-have tactics organizations can use to quickly detect attacks on the inside and severely limit the damage they can do.
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advanced attacks, attack detection, cybercriminals, perimiter defenses, security breach, learning-based security analytics, security monitoring, behavioral analytics
    
Niara
Published By: Niara     Published Date: Jan 29, 2016
This handy guide, that also includes an evaluation checklist, will help you select one that’s right for your organization.
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security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics
    
Niara
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: Microsoft     Published Date: Jul 20, 2018
Although AI research has been ongoing for decades, the past few years have seen a leap in practical innovations, catalyzed by vast amounts of digital data, online services, and enormous computing power. As a result, technologies such as natural-language understanding, sentiment analysis, speech recognition, image understanding, and machine learning have become accurate enough to power applications across a broad range of industries.
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Microsoft
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