3677.85 руб.

Artificial Intelligence for Marketing. Practical Applications

Книга Artificial Intelligence for Marketing. Practical Applications созданная Jim Sterne может относится к жанру зарубежная деловая литература, классический маркетинг, управление маркетингом. Стоимость электронной книги Artificial Intelligence for Marketing. Practical Applications с идентификатором 28285791 составляет 3677.85 руб.

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the «need-to-know» aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

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Электронная книга в жанре зарубежная деловая литература, классический маркетинг, управление маркетингом для обучения и всестороннего развития.

Скачать ОнЛайн материалы автора Jim Sterne на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена скачивания составляет 3677.85 руб.

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Warranty Fraud Management. Reducing Fraud and Other Excess Costs in Warranty and Service Operations

Книга Warranty Fraud Management. Reducing Fraud and Other Excess Costs in Warranty and Service Operations созданная D.N. Murthy Prabhakar, Matti Kurvinen, Ilkka Töyrylä, Maximilian Kammerer может относится к жанру базы данных, зарубежная компьютерная литература. Стоимость электронной книги Warranty Fraud Management. Reducing Fraud and Other Excess Costs in Warranty and Service Operations с идентификатором 28277403 составляет 3677.85 руб.

Cut warranty costs by reducing fraud with transparent processes and balanced control Warranty Fraud Management provides a clear, practical framework for reducing fraudulent warranty claims and other excess costs in warranty and service operations. Packed with actionable guidelines and detailed information, this book lays out a system of efficient warranty management that can reduce costs without upsetting the customer relationship. You'll dig into the whole spectrum of warranty fraud, from simple sloppy procedures to systematic organized crime, and get to know the fraudulent parties, the victims, as well as the objectives and methods of the fraudulent activities in different scenarios. You'll learn how to implement controls to detect and reduce fraudulent claims and decrease the overall warranty costs. The impact of fraudulent claims is plainly spelled out alongside detailed descriptions of typical symptoms and process gaps present in diverse companies. A comprehensive, multi-modal framework for robust warranty management is presented as a template for revamping your own company's strategy. Fraudulent warranty claims occupy an estimated 3-15 percent of the average company's warranty costs, which generally average between 1-4 percent of sales. Many companies are unaware of the issue or struggle to take action against the claims for fear of upsetting business partners, or because they lack tangible evidence. This book details a robust warranty control framework that institutes transparency and control over the whole warranty chain—supporting the process far beyond just fraud reduction. Understand the different actors (customers, sales channels, service agents, warranty providers, etc.) and different forms of warranty fraud Uncover issues in your company's warranty processes Learn methods to detect and prevent fraudulent activities Implement a robust system of warranty cost control Warranty fraud is a major cost-control issue for most companies, but the sensitive nature of the topic leaves most reluctant to share their experiences and divulge their strategies. Warranty Fraud Management brings warranty fraud out into the open, and provides a clear, actionable framework for cost-savings through fraud reduction.

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Скачать ОнЛайн материалы автора D.N. Murthy Prabhakar, Matti Kurvinen, Ilkka Töyrylä, Maximilian Kammerer на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 3677.85 руб.

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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection

Книга Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection созданная Bart Baesens, Wouter Verbeke, Veronique Vlasselaer Van может относится к жанру базы данных, зарубежная компьютерная литература. Стоимость электронной книги Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. A Guide to Data Science for Fraud Detection с идентификатором 28276476 составляет 3677.85 руб.

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.

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Электронная книга в жанре базы данных, зарубежная компьютерная литература для обучения и всестороннего развития.

Скачать ОнЛайн материалы автора Bart Baesens, Wouter Verbeke, Veronique Vlasselaer Van на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 3677.85 руб.

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