| cornell business analytics master: Business Analytics, Volume II Amar Sahay, 2019-11-08 This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics. |
| cornell business analytics master: Sales Growth McKinsey & Company Inc., Thomas Baumgartner, Homayoun Hatami, Maria Valdivieso de Uster, 2016-04-08 The challenges facing today's sales executives and their organizations continue to grow, but so do the expectations that they will find ways to overcome them and drive consistent sales growth. There are no simple solutions to this situation, but in this thoroughly updated Second Edition of Sales Growth, experts from McKinsey & Company build on their practical blueprint for achieving this goal and explore what world-class sales executives are doing right now to find growth and capture it—as well as how they are creating the capabilities to keep growing in the future. Based on discussions with more than 200 of today's most successful global sales leaders from a wide array of organizations and industries, Sales Growth puts the experiences of these professionals in perspective and offers real-life examples of how they've overcome the challenges encountered in the quest for growth. The book, broken down into five overarching strategies for successful sales growth, shares valuable lessons on everything from how to beat the competition by looking forward, to turning deep insights into simple messages for the front line. Page by page, you'll learn how sales executives are digging deeper than ever to find untapped growth, maximizing emerging markets opportunities, and powering growth through digital sales. You'll also discover what it takes to find big growth in big data, develop the right sales DNA in your organization, and improve channel performance. Three new chapters look at why presales deserve more attention, how to get the most out of marketing, and how technology and outsourcing could entirely reshape the sales function. Twenty new standalone interviews have been added to those from the first edition, so there are now in-depth insights from sales leaders at Adidas, Alcoa, Allianz, American Express, BMW, Cargill, Caterpillar, Cisco, Coca-Cola Enterprises, Deutsche Bank, EMC, Essent, Google, Grainger, Hewlett Packard Enterprise, Intesa Sanpaolo, Itaú Unibanco, Lattice Engines, Mars, Merck, Nissan, P&G, Pioneer Hi-Bred, Salesforce, Samsung, Schneider Electric, Siemens, SWIFT, UPS, VimpelCom, Vodafone, and Würth. Their stories, as well as numerous case studies, touch on some of the most essential elements of sales, from adapting channels to meet changing customer needs to optimizing sales operations and technology, developing sales talent and capabilities, and effectively leading the way to sales growth. Engaging and informative, this timely book details proven approaches to tangible top-line growth and an improved bottom line. Created specifically for sales executives, it will put you in a better position to drive sales growth in today's competitive market. |
| cornell business analytics master: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| cornell business analytics master: SPHR Exam Prep Cathy Winterfield, 2015-12-22 &> Score Higher on the SPHR Exam! We provide you with the proven study tools and expert insight that will help you score higher on your exam Study Tips like the advice and instruction that a personal tutor might provide Notes, Tips, and Cautions provide you with hints and strategies that will help you reduce your mistakes on the exam Comprehensive discussion of all six functional areas covered on the SPHR Exam Practice Questions that include detailed explanations of correct and incorrect answers–so you can learn the material from your success and mistakes COMPREHENSIVE! Succeed with comprehensive learning and practice tests Master the SPHR exam materials in all six tested functional areas Prepare with a comprehensive practice test Analyze your test readiness and areas for further study with topic-focused chapter tests CD-ROM—based practice exam includes an interactive test engine for a meaningful exam experience with 175 questions Learn important test-taking strategies to maximize your score and diminish your anxiety Pearson IT Certification Practice Test The CD-ROM—based practice exam includes an interactive test engine for a realistic exam experience with 175 questions. Includes Exclusive Offer for 70% Off Premium Edition eBook and Practice Test CATHY LEE PANTANO WINTERFIELD, MBA, MSHE, SPHR, ACC, is President of NovaCore Performance Solutions, a firm dedicated to enhancing individual and team workplace performance. She has more than 25 years of experience in HR, training, consulting, management, and coaching for businesses, non-profits, and governmental entities. She previously served as Director of Human Resource Management Programs for Cornell University’s School of Industrial and Labor Relations. Winterfield has presented on many HR and management development topics, and co-authored more than a dozen online courses in these fields. Her books include Performance Appraisals and Mission-Driven Interviewing, as well as the Pearson IT Certification book PHR Exam Prep, Third Edition. |
| cornell business analytics master: Retail Supply Chain Management Narendra Agrawal, Stephen A. Smith, 2015-04-20 This new edition focuses on three crucial areas of retail supply chain management: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning and (3) integrating price optimization into retail supply chain decisions. The book has been fully updated, expanding on the distinguishing features of the original, while offering three new chapters on recent topics which reflect areas of great interest and relevance to the academic and professional communities alike - inventory management in the presence of data inaccuracies, retail workforce management, and fast fashion retail strategies. The innovations, lessons for practice, and new technological solutions for managing retail supply chains are important not just in retailing, but offer crucial insights and strategies for the ultimate effective management of supply chains in other industries as well. The retail industry has emerged as a fascinating choice for researchers in the field of supply chain management. It presents a vast array of stimulating challenges that have long provided the context of much of the research in the area of operations research and inventory management. However, in recent years, advances in computing capabilities and information technologies, hyper-competition in the retail industry, emergence of multiple retail formats and distribution channels, an ever increasing trend towards a globally dispersed retail network, and a better understanding of the importance of collaboration in the extended supply chain have led to a surge in academic research on topics in retail supply chain management. Many supply chain innovations (e.g., vendor managed inventory) were first conceived and successfully validated in this industry, and have since been adopted in others. Conversely, many retailers have been quick to adopt cutting edge practices that first originated in other industries. Retail Supply Chain Management: Quantitative Models and Empirical Studies, 2nd Ed. is an attempt to summarize the state of the art in this research, as well as offer a perspective on what new applications may lie ahead. |
| cornell business analytics master: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| cornell business analytics master: Opinion Mining and Sentiment Analysis Bo Pang, Lillian Lee, 2008 This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. |
| cornell business analytics master: Behold the Dreamers Imbolo Mbue, 2016-08-23 A compulsively readable debut novel about marriage, immigration, class, race, and the trapdoors in the American Dream—the unforgettable story of a young Cameroonian couple making a new life in New York just as the Great Recession upends the economy New York Times Bestseller • Winner of the PEN/Faulkner Award • Longlisted for the PEN/Open Book Award • An ALA Notable Book NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR • The New York Times Book Review • San Francisco Chronicle • The Guardian • St. Louis Post-Dispatch • Chicago Public Library • BookPage • Refinery29 • Kirkus Reviews Jende Jonga, a Cameroonian immigrant living in Harlem, has come to the United States to provide a better life for himself, his wife, Neni, and their six-year-old son. In the fall of 2007, Jende can hardly believe his luck when he lands a job as a chauffeur for Clark Edwards, a senior executive at Lehman Brothers. Clark demands punctuality, discretion, and loyalty—and Jende is eager to please. Clark’s wife, Cindy, even offers Neni temporary work at the Edwardses’ summer home in the Hamptons. With these opportunities, Jende and Neni can at last gain a foothold in America and imagine a brighter future. However, the world of great power and privilege conceals troubling secrets, and soon Jende and Neni notice cracks in their employers’ façades. When the financial world is rocked by the collapse of Lehman Brothers, the Jongas are desperate to keep Jende’s job—even as their marriage threatens to fall apart. As all four lives are dramatically upended, Jende and Neni are forced to make an impossible choice. Praise for Behold the Dreamers “A debut novel by a young woman from Cameroon that illuminates the immigrant experience in America with the tenderhearted wisdom so lacking in our political discourse . . . Mbue is a bright and captivating storyteller.”—The Washington Post “A capacious, big-hearted novel.”—The New York Times Book Review “Behold the Dreamers’ heart . . . belongs to the struggles and small triumphs of the Jongas, which Mbue traces in clean, quick-moving paragraphs.”—Entertainment Weekly “Mbue’s writing is warm and captivating.”—People (book of the week) “[Mbue’s] book isn’t the first work of fiction to grapple with the global financial crisis of 2007–2008, but it’s surely one of the best. . . . It’s a novel that depicts a country both blessed and doomed, on top of the world, but always at risk of losing its balance. It is, in other words, quintessentially American.”—NPR “This story is one that needs to be told.”—Bust “Behold the Dreamers challenges us all to consider what it takes to make us genuinely content, and how long is too long to live with our dreams deferred.”—O: The Oprah Magazine “[A] beautiful, empathetic novel.”—The Boston Globe “A witty, compassionate, swiftly paced novel that takes on race, immigration, family and the dangers of capitalist excess.”—St. Louis Post-Dispatch “Mbue [is] a deft, often lyrical observer. . . . [Her] meticulous storytelling announces a writer in command of her gifts.”—Minneapolis Star Tribune |
| cornell business analytics master: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, 2020-03-10 Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts. |
| cornell business analytics master: Actionable Intelligence Keith B. Carter, 2014-09-02 Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done – fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful—rather than formulaic--approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits. |
| cornell business analytics master: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| cornell business analytics master: Colleges that Change Lives Loren Pope, 1996 The distinctive group of forty colleges profiled here is a well-kept secret in a status industry. They outdo the Ivies and research universities in producing winners. And they work their magic on the B and C students as well as on the A students. Loren Pope, director of the College Placement Bureau, provides essential information on schools that he has chosen for their proven ability to develop potential, values, initiative, and risk-taking in a wide range of students. Inside you'll find evaluations of each school's program and personality to help you decide if it's a community that's right for you; interviews with students that offer an insider's perspective on each college; professors' and deans' viewpoints on their school, their students, and their mission; and information on what happens to the graduates and what they think of their college experience. Loren Pope encourages you to be a hard-nosed consumer when visiting a college, advises how to evaluate a school in terms of your own needs and strengths, and shows how the college experience can enrich the rest of your life. |
| cornell business analytics master: Market Microstructure Theory Maureen O'Hara, 1998-03-06 Written by one of the leading authorities in market microstructure research, this book provides a comprehensive guide to the theoretical work in this important area of finance. |
| cornell business analytics master: Indian Economic Superpower Jayashankar M. Swaminathan, 2009 India is an emerging economy that intersects the supply chain of many companies and industries. This is the first book that allows you to learn about the state of the art of supply chain practices, innovative approaches, and the future outlook for India and its neighbors. The content is exceedingly rich and interesting, and will be highly valuable to academics and practitioners. |
| cornell business analytics master: Big Data Science in Finance Irene Aldridge, Marco Avellaneda, 2021-01-08 Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners. |
| cornell business analytics master: Investing in Financial Research Cheryl Strauss Einhorn, 2019-03-15 Finalist in the Business/Personal Finance category of the 2019 International Book Awards Every day, people around the world make financial decisions. They choose to invest in a stock, sell their holdings in a mutual fund or buy a condominium. These decisions are complex and financially tricky—even for financial professionals. But the literature available on financial research is dated and narrowly focused without any real practical application. Until now there's been a gap in the literature: a book that shows you how to conduct a step by step comprehensive financial investigation that ends in a decision. This book gives you that how. Investing in Financial Research is a guidebook for conducting financial investigations and lays out Cheryl Strauss Einhorn's AREA Method—a research and decision-making system that uniquely controls for bias, focuses on the incentives of others and expands knowledge while improving judgement—and applies it to investigating financial situations. AREA is applicable to all sorts of financial sleuthing, whether for investment analysis or investigative journalism. It allows you to be the expert in your own life. The AREA Method provides you with: *Defined tasks that guide and focus your research on your vision of success; *A structure that isolates your sources, giving you insight into their perspectives, biases and incentives; *Investigative resources, tips and techniques to upgrade your research and analysis beyond document-based sources; *Exercises to foster creativity and originality in your thinking; *A sequence and framework that brings your disparate pieces of research together to build your confidence and conviction about your financial decision. |
| cornell business analytics master: Applied Conjoint Analysis Vithala R. Rao, 2014-02-20 Conjoint analysis is probably the most significant development in marketing research in the past few decades. It can be described as a set of techniques ideally suited to studying customers’ decision-making processes and determining tradeoffs. Though this book is oriented towards methods and applications of conjoint analysis in marketing, conjoint methods are also applicable for other business and social sciences. After an introduction to the basic ideas of conjoint analysis the book describes the steps involved in designing a ratings-based conjoint study, it covers various methods for estimating partworth functions from preference ratings data, and dedicates a chapter on methods of design and analysis of conjoint-based choice experiments, where choice is measured directly. Chapter 5 describes several methods for handling a large number of attributes. Chapters 6 through 8 discuss the use of conjoint analysis for specific applications like product and service design or product line decisions, product positioning and market segmentation decisions, and pricing decisions. Chapter 9 collates miscellaneous applications of marketing mix including marketing resource allocation or store location decisions. Finally, Chapter 10 reviews more recent developments in experimental design and data analysis and presents an assessment of future developments. |
| cornell business analytics master: The History Of Marketing Science Russell S Winer, Scott A Neslin, 2014-06-27 The field of marketing science has a rich history of modeling marketing phenomena using the disciplines of economics, statistics, operations research, and other related fields. Since it is roughly 50 years from its origins, The History of Marketing Science is a timely review of the accomplishments of marketing scientists in a number of research areas.Different research areas of marketing science, such as Pricing, Internet Marketing, Diffusion Models, and Advertising, are treated to a highly readable and easy-to-digest historical analysis by the contributing authors. Each chapter provides a chronological timeline of key historical developments in the area of marketing science covered. Readers of other disciplinary backgrounds outside of economics, statistics, and operations research will be more than able to appreciate the development of marketing science as a field of research and its pioneers through the book. |
| cornell business analytics master: Finance Without Fear William S. Hettinger, John Dolan-Heitlinger, 2011 Finance Without Fear should be read by anyone starting or managing a business. The easy-to-read style helps remove the fear of finance for the entrepreneur, the small business owner, and the manager. Finance does not need to be mysterious and intimidating. Basic business finance is not hard to understand, and the business owner or manager who understands finance has a leg up on the competition. Finance Without Fear explains the key financial statements the cash flow statement, profit and loss statement, and balance sheet and provides the tools to analyze these financial statements. Genuine case studies of small businesses a retail shop, small manufacturing business, and medical office - are used throughout, so you can compare the way your business works to the case studies, and to industry norms. In the short amount of time it will take to read Finance Without Fear, you will learn the basics of finance, and the keys to creating and managing a profitable business. |
| cornell business analytics master: Remote, Inc. Robert C. Pozen, Alexandra Samuel, 2021-04-27 You can thrive and excel when you’re working remotely, if you adopt the mindset, habits and tech tools of professionals who are even more productive outside the office: Learn to think like a “business of one,” and that entrepreneurial mindset will transform your experience of remote work. Remote work can be satisfying and productive—once you craft a strategy that taps into the unique advantages of working from home. After a year in which many of us plunged into remote work overnight, we finally have a chance to make thoughtful choices about how to combine remote and office work, and how to make the most of our days at home. Remote, Inc. gives you the strategies and tools you need to make remote work a valuable part of your renewed working life. Learn how to... Gain control over how and when you work by focusing on objectives, not the 9-to-5 workday. Wow your managers by treating them like valued clients. Beat information overload by prioritizing important emails and messages. Make online meetings purposeful, focused and engaging. Build great relationships with your colleagues—whether at the next desk, or another city. Find a balance between work from home, and life at home. Make a remote work plan that lets you get the best from time at the office—and the best of home. Remote, Inc. takes you inside the mindset and habits of people who flourish while working outside the office some or all of the time: people who function like a “business of one.” That’s how productivity experts Robert C. Pozen and Alexandra Samuel describe the mindset that lets people thrive when they’re working remotely, whether full-time or in combination with time at the office. You can follow their lead by embracing the work habits and independence of a small business owner—while also tapping into the benefits of collegiality and online collaboration. |
| cornell business analytics master: The Generative AI Practitioner’s Guide Arup Das, David Sweenor, 2024-07-20 Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™ |
| cornell business analytics master: Handbook of Pricing Research in Marketing Vithala R. Rao, 2009 Pricing is an essential aspect of the marketing mix for brands and products. Further, pricing research in marketing is interdisciplinary, utilizing economic and psychological concepts with special emphasis on measurement and estimation. This unique Handbook provides current knowledge of pricing in a single, authoritative volume and brings together new cutting-edge research by established marketing scholars on a range of topics in the area. The environment in which pricing decisions and transactions are implemented has changed dramatically, mainly due to the advent of the Internet and the practices of advance selling and yield management. Over the years, marketing scholars have incorporated developments in game theory and microeconomics, behavioral decision theory, psychological and social dimensions and newer market mechanisms of auctions in their contributions to pricing research. These chapters, specifically written for this Handbook, cover these various developments and concepts as applied to tackling pricing problems. Academics and doctoral students in marketing and applied economics, as well as pricing-focused business practitioners and consultants, will appreciate the state-of-the-art research herein. |
| cornell business analytics master: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, 2018-03-08 Build valuable skills that are in high demand in today’s businesses with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading BUSINESS ANALYTICS, 3E. Readers master the full range of analytics while strengthening descriptive, predictive and prescriptive analytic skills. Real-world examples and visuals help illustrate data and results for each topic. Clear, step-by-step instructions guide readers through using various software programs, including Microsoft Excel, Analytic Solver, and JMP Pro, to perform the analyses discussed. Practical, relevant problems at all levels of difficulty reinforce and teach readers to apply the concepts learned. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |
| cornell business analytics master: Analytics of Life Mert Damlapinar, 2019-11-11 Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* * What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology. Oxford University professor Nick Bostrom argues that if machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. MIT professor Max Tegmark describes and illuminates the recent, ground-breaking advances in Artificial Intelligence and how it might overtake human intelligence. As Oxford University economist Daniel Susskind points out, technological progress could bring about unprecedented prosperity, solving one of humanity's oldest problems: how to make sure that everyone has enough to live on. Distinguished AI researcher and professor of computer science at UC Berkeley, Russell Stuart suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history. |
| cornell business analytics master: Thinking at Every Desk: Four Simple Skills to Transform Your Classroom Derek Cabrera, Laura Colosi, 2012-09-10 Cutting-edge skills for twenty-first-century learners and educators. Designed to transform teaching practice, this book provides the tools to understand thinking patterns and how learning actually happens. It empowers teachers to structure learning in the most meaningful way, helping students explore new paths to knowledge. |
| cornell business analytics master: Agile Analytics For Startups Mert Damlapinar, 2022-10-07 While you work hard building your startup, one of the biggest challenges you’ll face will be around your product’s ability to solve a big enough problem and its success in the market. Agile Analytics for Startups will help you navigate the complexity of early-stage business analytics, performance measurement, and the metrics that matter to your company. You can use the proven frameworks in this book to validate your product idea and the product/market fit, and understand your customers more granularly while you scale your business for automation. You can test and use many tools and solutions provided in the book and interact with different features of those solutions as you engage with other users of those products. This book will provide you with a step-by-step framework, examples and powerful solutions, from ideation to growth and all the way to scaling your business as you build your company with the power of analytics. -Agility is your advantage over large companies -Understand business analytics essentials and define how you will measure the success of your business early -Once you define your solution for “the problem” you tackle, validate your customer -Keep a short list of KPIs for the success of your product -Engage your customers throughout the development cycle -Product/market fit should happen before you go to market big -Keep testing your product, reiterate continuously -Know when to pivot as you modify and optimize your roadmap Be ready to speed up and maximize your output before the significant funding milestone(s) |
| cornell business analytics master: Social Sequence Analysis Benjamin Cornwell, 2015-08-06 Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists. |
| cornell business analytics master: Problem Solved Cheryl Strauss Einhorn, 2017-04-17 *International Book Awards Finalist It can be messy and overwhelming to figure out how to solve thorny problems. Where do you start? How do you know where to look for information and evaluate its quality and bias? How can you feel confident that you are making a careful and thoroughly researched decision? Whether you are deciding between colleges, navigating a career decision, helping your aging parents find the right housing, or expanding your business, Problem Solved will show you how to use the powerful AREA Method to make complex personal and professional decisions with confidence and conviction. Cheryl’s AREA Method coaches you to make smarter, better decisions because it: Recognizes that research is a fundamental part of decision making and breaks down the process into a series of easy-to-follow steps. Solves for problematic mental shortcuts such as bias, judgment, and assumptions. Builds in strategic stops that help you chunk your learning, stay focused, and make your work work for you. Provides a flexible and repeatable process that acts as a feedback loop. Life is filled with uncertainty, but that uncertainty needn’t hobble us. Problem Solved offers a proactive way to work with, and work through, ambiguity to make thoughtful, confident decisions despite our uncertain and volatile world. |
| cornell business analytics master: Privacy in Context Helen Nissenbaum, 2009-11-24 Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life. |
| cornell business analytics master: Pay Kevin F. Hallock, 2012-09-17 Billions of people throughout the world are paid for their work. This book was written to explain why they earn what they earn and, in doing so, to help readers understand how they can earn more in both the short and long run. It describes wages, wage differences across groups, wage inequality, how organizations set pay and why, executive and 'superstar' pay, the difference between pay and 'total rewards' (including benefits, opportunities for growth, colleagues and working conditions), compensation in nonprofits, and the differences between the cost of compensation to organizations and the value employees place on that compensation. It also offers tips on what an individual can do to earn more. |
| cornell business analytics master: Hospitality Branding Chekitan S. Dev, 2012-11-01 In recent years the brand has moved squarely into the spotlight as the key to success in the hospitality industry. Business strategy once began with marketing and incorporated branding as one of its elements; today the brand drives marketing within the larger hospitality enterprise. Not only has it become the chief means of attracting customers, it has, more broadly, become the chief organizing principle for most hospitality organizations. The never-ending quest for market share follows trend after trend, from offering ever more elaborate and sophisticated amenities to the use of social media as a marketing tool—all driven by the preeminence of the brand. Chekitan S. Dev’s award-winning research has appeared in leading journals including Cornell Hospitality Quarterly, Journal of Marketing, and Harvard Business Review. He is the recipient of several major hospitality research and teaching awards. A former corporate executive with Oberoi Hotels & Resorts, he has served corporate, government, education, advisory, and private equity clients in more than forty countries as consultant, seminar leader, keynote speaker and expert witness. Hospitality Branding brings together the most important insights from the author’s many years of research and experience, all in a single, affordably priced volume (available in both print and eBook formats). Skillfully blending the knowledge of recent history, the wisdom of cutting-edge research, and promise of future trends, this book offers hospitality organizations the advice they need to survive and thrive in today’s competitive global business environment. |
| cornell business analytics master: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| cornell business analytics master: Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Segall, Richard S., Niu, Gao, 2022-01-07 During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines. |
| cornell business analytics master: IBM Smart Analytics Cloud Lydia Parziale, Andrey Avramenko, Simon Chan, Foulques de Valence, Christopher Dziekan, Michael Dziekan, Andrea Greggo, Christian Hagen, Douglas Lin, James Machung, Nicole Roik, IBM Redbooks, 2010-09-30 This IBM Redbooks® publication presents a Smart Analytics Cloud. The IBM Smart Analytics Cloud is an IBM offering to enable delivery of business intelligence and analytics at the customer location in a private cloud deployment. The offering leverages a combination of IBM hardware, software and services to offer customers a complete solution that is enabled at their site. In this publication, we provide the background and product information for decision-makers to proceed with a cloud solution. The content ranges from an introduction to cloud computing to details about our lab implementation. The core of the book discusses the business value, architecture, and functionality of a Smart Analytics Cloud. To provide deeper perspective, documentation is also provided about implementation of one specific Smart Analytics Cloud solution that we created in our lab environment. Additionally, we also describe the IBM Smart Analytics Cloud service offering that can help you create your own Smart Analytics cloud solution that is tailored to your business needs. |
| cornell business analytics master: From Big Data to Big Profits Russell Walker, 2015-07-01 Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics |
| cornell business analytics master: Durvue New Language - Dictionary Durga Madiraju, 2023-01-10 Durvue is a new language written by Author Durga Madiraju. Durvue Dictionary contains alphabets, numbers, words, seasons, days of week and other words. The book contains translation of Durvue language to English. The book also contains prayers of Visalakovue, and Anikaovue, a 110 namam, Prayers of Sincerity and others. The book also contains songs written in Durvue language along with the poem, A Tribute to a Father. Part 2 of the book contains poems, My autumn tree in my front garden, A dust every season, I need to clean, An autumn breeze, every an autumn, and others. Part 3 of book contains business rule paradigms that discuss the need to create accurate business rules under different case scenarios. The book also discusses tagging a business rule for a system verification |
| cornell business analytics master: Managing at a Distance Tom Coughlan, David J. Fogarty, Gary Bernstein, Lynda Wilson, 2024-02-26 The world of hybrid and remote management is a territory that has yet to be completely explored—this book provides some simple navigational aids to help managers and leaders find their way. Research indicates that over 56% of college graduates currently work either remotely or in a hybrid arrangement, while prior to the pandemic, less than 5% of working hours were remote. How to manage remote and hybrid workers has rapidly become a significant challenge, and one that often requires new policies and organizational restructuring. The remote work handbooks available are tactical, which can be helpful for day-to-day decisions but not to tackle larger issues and initiatives. This book presents a fully formed, research-backed strategic framework: more than a vehicle to the future, it will help leaders to understand where they are now and what is happening around them to change the landscape, and to decide where they want to be. Speaking to senior executives and team leaders, as well as business students, this book will become the preferred tool for the development and evaluation of remote and hybrid management policy and strategy across industries. |
| cornell business analytics master: GMAT Official Advanced Questions GMAC (Graduate Management Admission Council), 2019-09-24 GMAT Official Advanced Questions Your GMAT Official Prep collection of only hard GMAT questions from past exams. Bring your best on exam day by focusing on the hard GMAT questions to help improve your performance. Get 300 additional hard verbal and quantitative questions to supplement your GMAT Official Guide collection. GMAT Official Advance Questions: Specifically created for those who aspire to earn a top GMAT score and want additional prep. Expand your practice with 300 additional hard verbal and quantitative questions from past GMAT exams to help you perform at your best. Learn strategies to solve hard questions by reviewing answer explanations from subject matter experts. Organize your studying with practice questions grouped by fundamental skills Help increase your test-taking performance and confidence on exam day knowing you studied the hard GMAT questions. PLUS! Your purchase includes online resources to further your practice: Online Question Bank: Create your own practice sets online with the same questions in GMAT Official Advance Questions to focus your studying on specific fundamental skills. Mobile App: Access your Online Question Bank through the mobile app to never miss a moment of practice. Study on-the-go and sync with your other devices. Download the Online Question Bank once on your app and work offline. This product includes: print book with a unique access code and instructions to the Online Question Bank accessible via your computer and Mobile App. |
| cornell business analytics master: The Wisdom of the Hive Thomas D Seeley, 2009-06-30 This book describes and illustrates the results of more than fifteen years of elegant experimental studies conducted by the author to investigate how a colony of bees is organized to gather its resources. The results of his research--including studies of the shaking signal, tremble dance, and waggle dance--offer the clearest, most detailed picture available of how a highly integrated animal society works. |
| cornell business analytics master: Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou, 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning. |
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
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盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
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