machine learning

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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
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: 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
By: ESADE     Published Date: Dec 20, 2018
Download to learn how Artificial Intelligence may affect the practice of management itself.
Tags : artificial intelligence, machine learning, operations management, robot managers
     ESADE
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.
Tags : analytics, artificial intelligence, customer lifecycle, insights, telecom credit lifecycle, customer acquisition, optimisation
     FICO EMEA
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
Tags : csp, advanced analytics, telco, improve credit risk, reduce fraud loss
     FICO EMEA
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
Tags : real-time payment, p2p payment
     FICO EMEA
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.
Tags : transacciones tiempo real, pagos en tiempo real, fraude, anti fraude, antifraude, blanqueo capitales, pagos p2p
     FICO EMEA
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.
Tags : customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion, sales, growth, health, beauty, brands, customer experience, customer journey, conversion, engagement, product finder, machine learning, personalization
     Zoovu Limited
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.
Tags : customer engagement, digital engagement, guided selling, e-commerce, engagement economy, digital commerce, digital marketing, conversion, sales, growth, brands, customer experience, customer journey, conversion, engagement, machine learning, personalization, recommendation, conversational marketing, retail.
     Zoovu Limited
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: 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.
Tags : analytics, security, problem solving, creative, data, researching, malware
     McAfee EMEA
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
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
By: Niara     Published Date: Jan 27, 2016
Download this whitepaper to learn some common myths to consider when deploying security analytics solutions.
Tags : security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics, machine learning, user behavior analytics, user and entitiy behavior analytics, it management
     Niara
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.
Tags : advanced attacks, attack detection, cybercriminals, perimiter defenses, security breach, learning-based security analytics, security monitoring, behavioral analytics, machine learning, user behavior analytics, user and entitiy behavior analytics, security, it management
     Niara
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.
Tags : security analytics, security analytics solutions, analysts, attack detection, security, incident response, security monitoring, behavioral analytics, machine learning, user behavior analytics, user and entitiy behavior analytics
     Niara
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
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
By: Pure Storage     Published Date: Apr 15, 2019
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights. By watching this webinar, you'll learn: - Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business - Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center - Gain insights that can drive your AI infrastructur
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     Pure Storage
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: Proofpoint     Published Date: Apr 22, 2010
This whitepaper explains how Proofpoint MLX technology provides unrivalled defense against spam.
Tags : proofpoint mlx, spam detection, email security, phishing attack, saas, messaging security
     Proofpoint
By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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     SAS
By: SAS     Published Date: Jul 01, 2019
Industry and technical experts discuss how to generate betterinsights, including how to surface HCCs with machine learning.
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     SAS
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