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48 items were found using the following search criteria
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Deep Technology Applications in Developing Economies: Three Vignettes
Ciesinski, Steve; Rosen, Howard; Antoni, FedericoCase SGSB-E-641-EEntrepreneurshipAs developing economies grow and become more connected, new and exciting entrepreneurial opportunities arise across markets and industries. Smartphones, the best sensors on earth have already been deployed and new technologies, such as Machine Learning, Robotics and Blockchain, will allow problems to be solved at a scale like never seen before. Despite this fertile ground for new endeavors, success not only requires a unique technology fit but gr...Starting at €8.20
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Retention Modeling at Scholastic Travel Company (B)
Ovchinnikov, Anton S.Case DARDEN-QA-0865-EDecision AnalysisThis case, along with its A case (UVA-QA-0864), is an effective vehicle for introducing students to the use of machine learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), ...Starting at €5.74
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Retention Modeling at Scholastic Travel Company (A)
Ovchinnikov, Anton S.Case DARDEN-QA-0864-EDecision AnalysisThis case, along with its B case (UVA-QA-0865), is an effective vehicle for introducing students to the use of machine-learning techniques for classification. The specific context is predicting customer retention based on a wide range of customer attributes/features. The specific techniques could include (but are not limited to): regressions (linear and logistic), variable selection (forward/backward and stepwise), regularizations (e.g., LASSO), ...Starting at €8.20
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Automation of Marketing Models
Venkatesan, Rajkumar; Craddock, Jenny; Nagji, NoreenTechnical Note DARDEN-M-0965-EMarketingThis technical note gives students an overview of artificial intelligence (AI) and machine learning (ML) in order to help them understand how these fields can contribute to the future of marketing. To provide context, students are first introduced to the history of AI and the basic parameters of AI, ML, and deep learning (DL). The differences between ML and statistical modeling are also described to help students understand that collaboration bet...Starting at €8.20
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IESE Business School Insight, 150
IESE InsightMagazine REV-84-EEntrepreneurship, Information Technologies, Innovation and Change, Leadership and People Management, StrategyA look at what executives need to know as artificial intelligence transforms business in the 21st century. The main report includes: a primer of key AI concepts; interviews with Dario Gil (IBM) and Thomas W. Malone (MIT); and a look at how companies are adopting AI. Plus: Where do women lead? Are you an effective executive? Four generations at work. Interview with World Bank auditor Yuko Keicho. Two entrepreneurs helped by Finaves. How Axel Lambe...Starting at €22.00
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IESE Insight. Issue 38. Third Quarter 2018
IESE InsightMagazine REV-80-EBusiness Ethics and Corporate Social Responsibility, Finance, Information Technologies, Innovation and Change, Leadership and People Management, StrategyOn the 25th anniversary of the Center for International Finance, this magazine reflects on the big ideas shaping the future of finance. Mireia Giné and Miguel Antón explain how pioneering fintech business models can afford greater speed and efficiency, personalization, automation and easier access, while reducing many of the problems that have long plagued traditional financial exchanges. Christian Eufinger outlines the various crowdfunding optio...Starting at €22.00
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IESE Insight. Número 38. Tercer trimestre 2018
IESE InsightMagazine REV-80Business Ethics and Corporate Social Responsibility, Finance, Information Technologies, Innovation and Change, Leadership and People Management, StrategyDiez años después de la caída de Lehman Brothers y el inicio de la crisis que azotó el sistema financiero mundial, asistimos a la reconfiguración del sector protagonizada por las fintech. Aportan velocidad, eficiencia, personalización, automatización, reducción de los problemas tradicionales y acceso a tecnologías sofisticadas, y no solo al sector financiero, prometen Mireia Giné y Miguel Antón. Christian Eufinger, por su parte, señala sus punto...Starting at €22.00
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El impacto del 'big data', la inteligencia artificial y el 'blockchain' en las finanzas
Giné, Mireia; Antón, MiguelArticle ART-3200Finance, Information TechnologiesEl maridaje entre finanzas y tecnología ha dado lugar a nuevos actores que están transformando el sector. Se conocen como fintech y prometen servicios financieros más económicos y flexibles tanto para el consumidor final como para las empresas de todos los sectores. Adiós a los bancos como único punto de acceso al sistema financiero, hola a nuevos mecanismos de financiación asequible, medios de pago más rápidos y eficientes e incluso una mejor re...Starting at €8.20
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¿Preparado para sacar provecho a la inteligencia artificial?
Zamora, Javier; Herrera, PedroArticle ART-3222Information Technologies, Innovation and ChangeLas herramientas de inteligencia artificial (IA) están disponibles para la mayoría de las empresas. Son los datos los que marcarán la diferencia. Descubre cuáles necesitas y cómo puedes entrenarlos.Starting at €8.20
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How prepared is your business to make the most of AI?
Zamora, Javier; Herrera, PedroArticle ART-3222-EInformation Technologies, Innovation and ChangeAs a manager, you need a basic understanding of the concepts behind machine learning, so that you can communicate effectively with the experts who implement AI projects in your organization. You must also evaluate your organization's readiness and ability to undertake AI projects. To improve your chances of success, we explain the essentials and recommend which roles and profiles to develop within your organization.Starting at €8.20