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| bcg gamma data science: The Digital Transformation of Labor Anthony Larsson, Robin Teigland, 2019-11-11 Through a series of studies, the overarching aim of this book is to investigate if and how the digitalization/digital transformation process causes (or may cause) the autonomy of various labor functions, and its impact in creating (or stymieing) various job opportunities on the labor market. This book also seeks to illuminate what actors/groups are mostly benefited by the digitalization/digital transformation and which actors/groups that are put at risk by it. This book takes its point of departure from a 2016 OECD report that contends that the impact digitalization has on the future of labor is ambiguous, as on the one hand it is suggested that technological change is labor-saving, but on the other hand, it is suggested that digital technologies have not created new jobs on a scale that it replaces old jobs. Another 2018 OECD report indicated that digitalization and automation as such does not pose a real risk of destroying any significant number of jobs for the foreseeable future, although tasks would by and large change significantly. This would affects welfare, as most of its revenue stems from taxation, and particularly so from the taxation on labor (directly or indirectly). For this reason, this book will set out to explore how the future technological and societal advancements impact labor conditions. The book seeks to provide an innovative, enriching and controversial take on how various aspects of the labor market can be (and are) affected the ongoing digitalization trend in a way that is not covered by extant literature. As such, this book intends to cater to a wider readership, from a general audience and students, to specialized professionals and academics wanting to gain a deeper understanding of the possible future developments of the labor market in light of an accelerating digitalization/digital transformation of society at large. |
| bcg gamma data science: The Imagination Machine Martin Reeves, Jack Fuller, 2021-06-08 A guide for mining the imagination to find powerful new ways to succeed. We need imagination now more than ever—to find new opportunities, rethink our businesses, and discover paths to growth. Yet too many companies have lost their ability to imagine. What is this mysterious capacity? How does imagination work? And how can organizations keep it alive and harness it in a systematic way? The Imagination Machine answers these questions and more. Drawing on the experience and insights of CEOs across several industries, as well as lessons from neuroscience, computer science, psychology, and philosophy, Martin Reeves of Boston Consulting Group's Henderson Institute and Jack Fuller, an expert in neuroscience, provide a fascinating look into the mechanics of imagination and lay out a process for creating ideas and bringing them to life: The Seduction: How to open yourself up to surprises The Idea: How to generate new ideas The Collision: How to rethink your idea based on real-world feedback The Epidemic: How to spread an evolving idea to others The New Ordinary: How to turn your novel idea into an accepted reality The Encore: How to repeat the process—again and again. Imagination is one of the least understood but most crucial ingredients of success. It's what makes the difference between an incremental change and the kinds of pivots and paradigm shifts that are essential to transformation—especially during a crisis. The Imagination Machine is the guide you need to demystify and operationalize this powerful human capacity, to inject new life into your company, and to head into unknown territory with the right tools at your disposal. |
| bcg gamma data science: Data Driven Jeremy David Curuksu, 2018-06-06 This book is a “scientific” introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship. It discusses the emerging role of information technologies in consulting activities and introduces the essential tools in data science, assuming no technical background. Drawing on extensive literature reviews with more than 200 peer reviewed articles, reports, books and surveys referenced, this book has at least four objectives: to be scientific, modern, complete and concise. An interactive version of some sections (industry snapshots, method toolbox) is freely accessible at econsultingdata.com. |
| bcg gamma data science: Introduction to Data Science Laura Igual, Santi Seguí, 2017-02-22 This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website. |
| bcg gamma data science: Demand Prediction in Retail Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang, 2022-01-01 From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy. |
| bcg gamma data science: Data Analytics and Applications of the Wearable Sensors in Healthcare Shabbir Syed-Abdul, Luis Fernandez Luque, Pei-Yun Sabrina Hsueh, Juan M. García-Gomez, Begoña Garcia-Zapirain, 2020-06-17 This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal. |
| bcg gamma data science: Data Analytics in Reservoir Engineering Sathish Sankaran, Sebastien Matringe, Mohamed Sidahmed, 2020-10-29 Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering. |
| bcg gamma data science: Disease Control Priorities, Third Edition (Volume 6) King K. Holmes, Stefano Bertozzi, Barry R. Bloom, Prabhat Jha, 2017-11-06 Infectious diseases are the leading cause of death globally, particularly among children and young adults. The spread of new pathogens and the threat of antimicrobial resistance pose particular challenges in combating these diseases. Major Infectious Diseases identifies feasible, cost-effective packages of interventions and strategies across delivery platforms to prevent and treat HIV/AIDS, other sexually transmitted infections, tuberculosis, malaria, adult febrile illness, viral hepatitis, and neglected tropical diseases. The volume emphasizes the need to effectively address emerging antimicrobial resistance, strengthen health systems, and increase access to care. The attainable goals are to reduce incidence, develop innovative approaches, and optimize existing tools in resource-constrained settings. |
| bcg gamma data science: Sleeping with Your Smartphone Leslie A. Perlow, 2012-05-01 Does it have to be this way? Can’t resist checking your smartphone or mobile device? Sure, all this connectivity keeps you in touch with your team and the office—but at what cost? In Sleeping with Your Smartphone, Harvard Business School professor Leslie Perlow reveals how you can disconnect and become more productive in the process. In fact, she shows that you can devote more time to your personal life and accomplish more at work. The good news is that this doesn’t require a grand organizational makeover or buy-in from the CEO. All it takes is collaboration between you and your team—working together and making small, doable changes. What started as an experiment with a six-person team at The Boston Consulting Group—one of the world’s elite management consulting firms—triggered a global initiative that eventually spanned more than nine hundred BCG teams in thirty countries across five continents. These teams confronted their nonstop workweeks and changed the way they worked, becoming more efficient and effective. The result? Employees were more satisfied with their work-life balance and with their work in general. And the firm was better able to recruit and retain employees. Clients also benefited—often in unexpected ways. In this engaging book, Perlow takes you inside BCG to witness the challenges and benefits of disconnecting. She provides a step-by-step guide to introducing change on your team—by establishing a collective goal, encouraging open dialogue, ensuring leadership support—and then spreading change to the rest of your firm. If you and your colleagues are grappling with the “always on” problem, it’s time to disconnect—and start reading. |
| bcg gamma data science: Ace the Data Science Interview Kevin Huo, Nick Singh, 2021 |
| bcg gamma data science: Beyond Artificial Intelligence Jan Romportl, Eva Zackova, Jozef Kelemen, 2014-08-11 This book is an edited collection of chapters based on the papers presented at the conference “Beyond AI: Artificial Dreams” held in Pilsen in November 2012. The aim of the conference was to question deep-rooted ideas of artificial intelligence and cast critical reflection on methods standing at its foundations. Artificial Dreams epitomize our controversial quest for non-biological intelligence and therefore the contributors of this book tried to fully exploit such a controversy in their respective chapters, which resulted in an interdisciplinary dialogue between experts from engineering, natural sciences and humanities. While pursuing the Artificial Dreams, it has become clear that it is still more and more difficult to draw a clear divide between human and machine. And therefore this book tries to portrait such an image of what lies beyond artificial intelligence: we can see the disappearing human-machine divide, a very important phenomenon of nowadays technological society, the phenomenon which is often uncritically praised, or hypocritically condemned. And so this phenomenon found its place in the subtitle of the whole volume as well as in the title of the chapter of Kevin Warwick, one of the keynote speakers at “Beyond AI: Artificial Dreams”. |
| bcg gamma data science: Iterative Methods for Sparse Linear Systems Yousef Saad, 2003-04-01 Mathematics of Computing -- General. |
| bcg gamma data science: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| bcg gamma data science: IAP Guidebook on Immunization 2018-2019 Balasubramanian S, Digant D Shastri, Pallab Chatterjee, Abhay K Shah, Harish K Pemde, Shivananda S, Vijay Kumar Guduru, 2019-11-28 |
| bcg gamma data science: Medical Instrument Design and Development Claudio Becchetti, Alessandro Neri, 2013-07-29 This book explains all of the stages involved in developing medical devices; from concept to medical approval including system engineering, bioinstrumentation design, signal processing, electronics, software and ICT with Cloud and e-Health development. Medical Instrument Design and Development offers a comprehensive theoretical background with extensive use of diagrams, graphics and tables (around 400 throughout the book). The book explains how the theory is translated into industrial medical products using a market-sold Electrocardiograph disclosed in its design by the Gamma Cardio Soft manufacturer. The sequence of the chapters reflects the product development lifecycle. Each chapter is focused on a specific University course and is divided into two sections: theory and implementation. The theory sections explain the main concepts and principles which remain valid across technological evolutions of medical instrumentation. The Implementation sections show how the theory is translated into a medical product. The Electrocardiograph (ECG or EKG) is used as an example as it is a suitable device to explore to fully understand medical instrumentation since it is sufficiently simple but encompasses all the main areas involved in developing medical electronic equipment. Key Features: Introduces a system-level approach to product design Covers topics such as bioinstrumentation, signal processing, information theory, electronics, software, firmware, telemedicine, e-Health and medical device certification Explains how to use theory to implement a market product (using ECG as an example) Examines the design and applications of main medical instruments Details the additional know-how required for product implementation: business context, system design, project management, intellectual property rights, product life cycle, etc. Includes an accompanying website with the design of the certified ECG product (www.gammacardiosoft.it/book) Discloses the details of a marketed ECG Product (from Gamma Cardio Soft) compliant with the ANSI standard AAMI EC 11 under open licenses (GNU GPL, Creative Common) This book is written for biomedical engineering courses (upper-level undergraduate and graduate students) and for engineers interested in medical instrumentation/device design with a comprehensive and interdisciplinary system perspective. |
| bcg gamma data science: The Pathless Path Paul Millerd, 2022-01-13 Not all who wander are lost… Paul thought he was on his way. From a small-town Connecticut kid to the most prestigious consulting firm in the world, he had everything he thought he wanted. Yet he decided to walk away and embark on the real work of his life - finding the work that matters and daring to create a life to support that. This Pathless Path is about finding yourself in the wrong life, and the real work of figuring out how to live. Through painstaking experiments, living in different countries, and contemplating the deepest questions about life, Paul pieces together a set of ideas and principles that guide him from unfulfilled and burned out to a life he is excited to keep living. The Pathless Path is not a how-to book filled with “hacks”; instead, it is a vulnerable account of Paul’s journey from leaving the socially accepted “default path” towards another, one focused on doing work that matters, finding the others, and defining your own success. This book is an ideal companion for people considering leaving their jobs, embarking on a new path, dealing with the uncertainty of an unconventional path, or looking to improve their relationship with work in a fast-changing world. Reader feedback: “It’s a rare book in that it is tangentially about careers and being more focused and productive, but unlike almost every other book I have read about these topics, I finished this one and felt better about myself and my career.” “The themes are timeless. The content is expertly written. The advice is refreshingly non-prescriptive.” “If you have questioned your own path, or a nagging lack of intention in your choices you need this book. If you have felt a gradual loss of agency in your direction you need this book. You are in the grip of an invisible script that was not written for you.” “The writing is fantastic - Paul's writing is approachably poetic; a quick read that weaves together his own experience moving from a 'default path' overachiever to a 'pathless path' seeker of passion and curiosity, deep research into the history of work and collections of perspectives from years of podcasting, friendship, conferences, and meetings with other 'alternative path' life-livers. |
| bcg gamma data science: Data Mining and Machine Learning Mohammed J. Zaki, Wagner Meira, Jr, Wagner Meira, 2020-01-30 New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning. |
| bcg gamma data science: The Disruption Dilemma Joshua Gans, 2016-03-18 An expert in management takes on the conventional wisdom about disruption, looking at companies that proved resilient and offering managers tools for survival. “Disruption” is a business buzzword that has gotten out of control. Today everything and everyone seem to be characterized as disruptive—or, if they aren't disruptive yet, it's only a matter of time before they become so. In this book, Joshua Gans cuts through the chatter to focus on disruption in its initial use as a business term, identifying new ways to understand it and suggesting new tools to manage it. Almost twenty years ago Clayton Christensen popularized the term in his book The Innovator's Dilemma, writing of disruption as a set of risks that established firms face. Since then, few have closely examined his account. Gans does so in this book. He looks at companies that have proven resilient and those that have fallen, and explains why some companies have successfully managed disruption—Fujifilm and Canon, for example—and why some like Blockbuster and Encyclopedia Britannica have not. Departing from the conventional wisdom, Gans identifies two kinds of disruption: demand-side, when successful firms focus on their main customers and underestimate market entrants with innovations that target niche demands; and supply-side, when firms focused on developing existing competencies become incapable of developing new ones. Gans describes the full range of actions business leaders can take to deal with each type of disruption, from “self-disrupting” independent internal units to tightly integrated product development. But therein lies the disruption dilemma: A firm cannot practice both independence and integration at once. Gans shows business leaders how to choose their strategy so their firms can deal with disruption while continuing to innovate. |
| bcg gamma data science: Process Engineering and Industrial Management Jean-Pierre Dal Pont, 2013-03-04 Process Engineering, the science and art of transforming raw materials and energy into a vast array of commercial materials, was conceived at the end of the 19th Century. Its history in the role of the Process Industries has been quite honorable, and techniques and products have contributed to improve health, welfare and quality of life. Today, industrial enterprises, which are still a major source of wealth, have to deal with new challenges in a global world. They need to reconsider their strategy taking into account environmental constraints, social requirements, profit, competition, and resource depletion. “Systems thinking” is a prerequisite from process development at the lab level to good project management. New manufacturing concepts have to be considered, taking into account LCA, supply chain management, recycling, plant flexibility, continuous development, process intensification and innovation. This book combines experience from academia and industry in the field of industrialization, i.e. in all processes involved in the conversion of research into successful operations. Enterprises are facing major challenges in a world of fierce competition and globalization. Process engineering techniques provide Process Industries with the necessary tools to cope with these issues. The chapters of this book give a new approach to the management of technology, projects and manufacturing. Contents Part 1: The Company as of Today 1. The Industrial Company: its Purpose, History, Context, and its Tomorrow?, Jean-Pierre Dal Pont. 2. The Two Modes of Operation of the Company – Operational and Entrepreneurial, Jean-Pierre Dal Pont. 3. The Strategic Management of the Company: Industrial Aspects, Jean-Pierre Dal Pont. Part 2: Process Development and Industrialization 4. Chemical Engineering and Process Engineering, Jean-Pierre Dal Pont. 5. Foundations of Process Industrialization, Jean-François Joly. 6. The Industrialization Process: Preliminary Projects, Jean-Pierre Dal Pont and Michel Royer. 7. Lifecycle Analysis and Eco-Design: Innovation Tools for Sustainable Industrial Chemistry, Sylvain Caillol. 8. Methods for Design and Evaluation of Sustainable Processes and Industrial Systems, Catherine Azzaro-Pantel. 9. Project Management Techniques: Engineering, Jean-Pierre Dal Pont. Part 3: The Necessary Adaptation of the Company for the Future 10. Japanese Methods, Jean-Pierre Dal Pont. 11. Innovation in Chemical Engineering Industries, Oliver Potier and Mauricio Camargo. 12. The Place of Intensified Processes in the Plant of the Future, Laurent Falk. 13. Change Management, Jean-Pierre Dal Pont. 14. The Plant of the Future, Jean-Pierre Dal Pont. |
| bcg gamma data science: Negotiating Your Salary Jack Chapman, 2000 Proving your worth to a potential employer can begin well before the negotiating interview - that's why you need to be prepared. For 15 years, Negotiating Your Salary has been the bible for salary negotiations and, updated for the new millennium, this classic is back to coach a new generation of job hunters. Renowned career advisor Jack Chapman teaches you when to bring up the salary issue, how to respond to interviewers' offers, and simple strategies to help double your salary. For the already employed, he also covers how to make the most of raises and salary reviews, and much more. |
| bcg gamma data science: Trillions Peter Lucas, Joe Ballay, Mickey McManus, 2012-08-29 We are facing a future of unbounded complexity. Whether that complexity is harnessed to build a world that is safe, pleasant, humane and profitable, or whether it causes us to careen off a cliff into an abyss of mind-numbing junk is an open question. The challenges and opportunities--technical, business, and human--that this technological sea change will bring are without precedent. Entire industries will be born and others will be laid to ruin as our society navigates this journey. There are already many more computing devices in the world than there are people. In a few more years, their number will climb into the trillions. We put microprocessors into nearly every significant thing that we manufacture, and the cost of routine computing and storage is rapidly becoming negligible. We have literally permeated our world with computation. But more significant than mere numbers is the fact we are quickly figuring out how to make those processors communicate with each other, and with us. We are about to be faced, not with a trillion isolated devices, but with a trillion-node network: a network whose scale and complexity will dwarf that of today’s Internet. And, unlike the Internet, this will be a network not of computation that we use, but of computation that we live in. Written by the leaders of one of America’s leading pervasive computing design firms, this book gives a no-holds-barred insiders’ account of both the promise and the risks of the age of Trillions. It is also a cautionary tale of the head-in-the-sand attitude with which many of today’s thought-leaders are at present approaching these issues. Trillions is a field guide to the future--designed to help businesses and their customers prepare to prosper, in the information. |
| bcg gamma data science: Trained Immunity-based Vaccines Jose Luis Subiza, Silvia Sánchez-Ramón, Oscar Palomares, Isabella Quinti, 2021-08-25 Dr. Jose Luis Subiza is the founder and CEO of Inmunotek SL. The other Topic Editors declare no competing interests with regard to the Research Topic subject. |
| bcg gamma data science: Tuberculosis Barry R. Bloom, 1994 The authors discuss fundamental questions about the biology, genetics, mechanisms of pathogenicity, mechanisms of resistance, and drug development strategies that are likely to provide important new knowledge about TB and new interventions to prevent and treat this disease. |
| bcg gamma data science: Nuclear Science Abstracts , 1970 |
| bcg gamma data science: Canadian Immunization Guide Canada. Comité consultatif national de l'immunisation, Canada. National Advisory Committee on Immunization, 2006 The seventh edition of the Canadian Immunization Guide was developed by the National Advisory Committee on Immunization (NACI), with the support ofthe Immunization and Respiratory Infections Division, Public Health Agency of Canada, to provide updated information and recommendations on the use of vaccines in Canada. The Public Health Agency of Canada conducted a survey in 2004, which confi rmed that the Canadian Immunization Guide is a very useful and reliable resource of information on immunization. |
| bcg gamma data science: Fundamentals of Statistical Inference , 1977 |
| bcg gamma data science: Explanatory Model Analysis Przemyslaw Biecek, Tomasz Burzykowski, 2021-02-15 Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems. |
| bcg gamma data science: Chemical Process Safety Roy E. Sanders, 2011-08-30 Gives insight into eliminating specific classes of hazards, while providing real case histories with valuable messages. There are practical sections on mechanical integrity, management of change, and incident investigation programs, along with a long list of helpful resources. New chapter in this edition covers accidents involving compressors, hoses and pumps. - Stay up to date on all the latest OSHA requirements, including the OSHA required Management of Change, Mechanical Integrity and Incident Investigation regulations - Learn how to eliminate hazards in the design, operation and maintenance of chemical process plants and petroleum refineries - World-renowned expert in process safety, Roy Sanders, shows you how to reduce risks in your plant - Learn from the mistakes of others, so that your plant doesn't suffer the same fate - Save lives, reduce loss, by following the principles outlined in this must-have text for process safety. There is no other book like it! |
| bcg gamma data science: A Human's Guide to Machine Intelligence Kartik Hosanagar, 2020-03-10 A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence. |
| bcg gamma data science: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| bcg gamma data science: Blockchain, Internet of Things, and Artificial Intelligence Naveen Chilamkurti, T. Poongodi, Balamurugan Balusamy, 2021-04-02 Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT, and AI technologies. State-of-the-art techniques are explored in depth to discuss the challenges in each domain. The convergence of these revolutionized technologies has leveraged several areas that receive attention from academicians and industry professionals, which in turn promotes the book's accessibility more extensively. Discussions about an integrated perspective on the influence of blockchain, IoT, and AI for smart cities, healthcare, and other business sectors illuminate the benefits and opportunities in the ecosystems worldwide. The contributors have focused on real-world examples and applications and highlighted the significance of the strengths of blockchain to transform the readers’ thinking toward finding potential solutions. The faster maturity and stability of blockchain is the key differentiator in artificial intelligence and the Internet of Things. This book discusses their potent combination in realizing intelligent systems, services, and environments. The contributors present their technical evaluations and comparisons with existing technologies. Theoretical explanations and experimental case studies related to real-time scenarios are also discussed. FEATURES Discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information Elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches Offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas Presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain Provides readers with an awareness of how industry can avoid some of the pitfalls of traditional data-sharing strategies This book is suitable for graduates, academics, researchers, IT professionals, and industry experts. |
| bcg gamma data science: Million Dollar Consulting Alan Weiss, 2009-09-17 The Long-Awaited Update for Buildinga Thriving Consultancy Completely updated for today’s busier-than-ever consultants, this classic guide covers the ins andouts for competing and winning in this ultracompetitive field. You’ll find step-by-step advice on howto raise capital, attract clients, create a marketing plan, and grow your business into a $1 million-per-yearfirm, plus brand-new material on: Blogging and social networking Global consulting Delegating labor Profiting in a troubled market Retainer business Internet marketing Praise for the previous editions of Million Dollar Consulting: “If you’re interested in becoming a rich consultant, this book is a must read.” Robert F. Mager, founder and president, Mager Associates, and member of the Training & Development Hall of Fame “Blast out of the per diem trap and into value billing.” Jim Kennedy, founder, publisher, and editor, Consultants News “The advice on developing price structure alone is worth a hundred times the price of the book.” William C. Byham, Ph.D., author of Zapp! “Must reading for those who are beginning a practice orseeking to upgrade an existing practice.” Victor H. Vroom, John G. Searle Professor, School of Management, Yale University |
| bcg gamma data science: Nutrient Requirements of Laboratory Animals, National Research Council, Board on Agriculture, Committee on Animal Nutrition, Subcommittee on Laboratory Animal Nutrition, 1995-02-01 In the years since the third edition of this indispensable reference was published, a great deal has been learned about the nutritional requirements of common laboratory species: rat, mouse, guinea pig, hamster, gerbil, and vole. The Fourth Revised Edition presents the current expert understanding of the lipid, carbohydrate, protein, mineral, vitamin, and other nutritional needs of these animals. The extensive use of tables provides easy access to a wealth of comprehensive data and resource information. The volume also provides an expanded background discussion of general dietary considerations. In addition to a more user-friendly organization, new features in this edition include: A significantly expanded section on dietary requirements for rats, reporting substantial new findings. A new section on nutrients that are not required but that may produce beneficial results. New information on growth and reproductive performance among the most commonly used strains of rats and mice and on several hamster species. An expanded discussion of diet formulation and preparationâ€including sample diets of both purified and natural ingredients. New information on mineral deficiency and toxicity, including warning signs. This authoritative resource will be important to researchers, laboratory technicians, and manufacturers of laboratory animal feed. |
| bcg gamma data science: Data Science for Supply Chain Forecasting Nicolas Vandeput, 2021-03-22 Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical traditional models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting—from the basics all the way to leading-edge models—will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting. |
| bcg gamma data science: Pediatric Vaccines and Vaccinations Timo Vesikari, Pierre Van Damme, 2017-11-01 This graduate textbook serves as a highly readable guide on vaccines and vaccination in infants, children and adolescents from an European perspective. The first part of the book is dedicated to childhood and adolescent vaccine schedules, maternal and neonatal immunization and safety of vaccines. In a second part we focus on viral and bacterial vaccines. Further chapters discuss pediatric travel vaccines, vaccines in the pipeline and the European registration process. This book is intended to be a reference textbook and will help to standardize the information on vaccines and immunization program in the WHO European Region. |
| bcg gamma data science: Python Data Science Handbook Jake VanderPlas, 2016-11-21 For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms |
| bcg gamma data science: The Consulting Apprenticeship Steve Shu, 2015-07-16 The Consulting Apprenticeship is written for business professionals and consultants with a focus on nuances passed on during apprenticeship regarding consulting delivery. Business professionals can benefit with a jump-start approach to applying consulting principles to their business. Designed for the busy professional, The Consulting Apprenticeship is a book of forty, quick-read ideas. These forty, short chapters are divided into four sections: Consulting Mindset - This section covers consulting ways of thinking and can be adopted by both company personnel and consultants. Consulting Techniques - This section covers specific tactics and toolkit methods when using consultative approaches in the trenches as either a company- or consulting firm-practitioner. Consulting Mastery - This section covers advanced perspectives on consulting and may be more useful to either company personnel evaluating consultants or mid- to senior-level consultants. Consulting Special Situations - Whereas the prior sections are applicable to a wide variety of situations, this section covers more infrequent, specific business situations involving consultative approaches in the trenches as either a company- or consulting firm-practitioner. Each chapter of the book concludes with an optional, takeaway exercise. The exercises vary widely in terms of level of involvement. For example, in some cases you can refer to online material. In other cases, you can engage in deeper thinking or apply the concepts over an extended period of time. However you choose to use this book, consulting mastery is a lifelong pursuit. I hope this book helps you with your journey. Stephen Shu Praise for The Consulting Apprenticeship When one of the companies I worked for needed help taking its consulting organization to the next level, I hired Steve Shu. His ability to drive our management team - all with different opinions on what we should or should not do - to a 'so-what' conclusion and pragmatic next steps gave us the jump start we needed. He is one of the best and deeply understands how consulting organizations should work. His book provides great techniques as well as tools you can use immediately. - Prakash Panjwani, CEO at WatchGuard Technologies, former President and CEO of SafeNet Steve Shu has put together a comprehensive guide to the all-important nuts and bolts of being a great consultant. The information in Chapter 21, 'Eight Secret Weapons of the Modern Consultant, ' is worth the price of the book. If you're serious about being a more effective consultant, read this book. - Michael McLaughlin, Author of Winning the Professional Services Sale and Principal Consultant at MindShare Consulting LLC; former Partner at Deloitte Steve Shu has written a hands-on, highly practical guide for new management consultants and internal corporate business strategists alike. So many projects fail because they do not practice the basic consulting project management hygiene Steve describes in chapter 11. If you are new to the trade and want to greatly increase your chance of delivering successful consulting projects, read this book. - Robert Reppa, Vice President Strategy at Johnson Controls and former Partner at Booz & Company Steve Shu has written a Rosetta Stone for both new and experienced consultants. Filled with forty power-packed ideas and practical chapter takeaways, Consulting Apprenticeship is structured for busy executives to easily digest each concept. A must read for those who seek to go beyond the shallow bromides of the consulting profession, and hone their skills with deeper, more meaningful approaches. - Adrian C. Ott, Award-winning author of The 24-Hour Customer, and CEO, Exponential Edge Inc, called One of Silicon Valley's most respected strategists by Consulting Magazine |
| bcg gamma data science: Case Interview Secrets Victor Cheng, 2012 Cheng, a former McKinsey management consultant, reveals his proven, insider'smethod for acing the case interview. |
| bcg gamma data science: NP Notes ruth McCaffrey, 2017-10-23 Put this handy guide to work in class, in clinical, and in practice. From screening and assessment tools and differential diagnosis through the most commonly ordered drugs and billing and coding, this volume in the Davis Notes Series presents the information you need every day in a pocket-sized resource. |
| bcg gamma data science: Galaxy Formation and Evolution Houjun Mo, Frank van den Bosch, Simon White, 2010-05-20 A coherent introduction for researchers in astronomy, particle physics, and cosmology on the formation and evolution of galaxies. |
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BCG Treatment: What It Is, Procedure & Side Effects - Cle…
Mar 21, 2025 · BCG treatment is used to address early-stage bladder cancer. This includes bladder cancers that haven’t invaded your bladder wall …
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Boston Consulting Group, Inc. (BCG) is an American global management consulting firm founded in 1963 and headquartered in Boston, …
BCG vaccine - Wikipedia
The Bacillus Calmette–Guérin (BCG) vaccine is a vaccine primarily used against tuberculosis (TB). [9] It is named after its inventors Albert …
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BCG Treatment: What It Is, Procedure & Side Effects - Cleveland …
Mar 21, 2025 · BCG treatment is used to address early-stage bladder cancer. This includes bladder cancers that haven’t invaded your bladder wall muscle, like carcinoma in situ (in its …
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Boston Consulting Group is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. …
Boston Consulting Group - Wikipedia
Boston Consulting Group, Inc. (BCG) is an American global management consulting firm founded in 1963 and headquartered in Boston, Massachusetts. [3] It is one of the " Big Three " (or …
BCG vaccine - Wikipedia
The Bacillus Calmette–Guérin (BCG) vaccine is a vaccine primarily used against tuberculosis (TB). [9] It is named after its inventors Albert Calmette and Camille Guérin. [10] [11] In …
BCG Therapy for Bladder Cancer: How It Works and Side Effects
Apr 29, 2025 · What Is BCG Treatment for Bladder Cancer? Bacillus Calmette-Guérin (BCG) is the main immunotherapy used to treat early-stage bladder cancer.Immunotherapy uses your …
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As a global leader and pioneer in business strategy, Boston Consulting Group (BCG) partners with leaders across industries and society to tackle their most important challenges and unlock …
Bacille Calmette-Guérin (BCG) Vaccine for Tuberculosis
Jan 31, 2025 · Many people born outside the United States have been vaccinated with BCG. It is given to infants and small children in countries where TB is common. It protects children from …
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BCG Revaccination for the Prevention of Mycobacterium …
May 7, 2025 · A recent trial of BCG revaccination for the prevention of sustained M. tuberculosis infection in 2000 adult health care workers in Brazil showed a lack of vaccine efficacy against …
