Predicting Technology: A Practical Guide For Technology Managers and Marketing Professionals To Identify Future Market Opportunities PDF Download
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Author: Thomas E. Vass
Publisher: First Edition Design Pub.
ISBN: 1622875516
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
Part of the theory about predicting the direction of technology in this book builds upon work done by Clayton Christensen, a professor of business at Harvard University. Christensen has written many books about how multinational corporations are affected by a topic called "disruptive technology."
Author: Thomas E. Vass
Publisher: First Edition Design Pub.
ISBN: 1622875516
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
Part of the theory about predicting the direction of technology in this book builds upon work done by Clayton Christensen, a professor of business at Harvard University. Christensen has written many books about how multinational corporations are affected by a topic called "disruptive technology."
Author: Joseph P. Martino
Publisher: Routledge
ISBN: 1351106430
Category : Business & Economics
Languages : en
Pages : 190
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Book Description
Originally published in 1972 this book examines technological forecasting and assesses its merits and limitations and possible uses for society, government, industry and the military. Although technological forecasting was in its infancy when this book was originally published, it has now become part of mainstream social and economic planning.
Author: Tugrul U. Daim
Publisher: Erich Schmidt Verlag GmbH & Co KG
ISBN: 9783503126750
Category : Information technology
Languages : en
Pages : 264
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Book Description
"Understanding the technology dynamics is a required capability in today's technology driven industries. This volume focuses on three areas: technology assessment, technology forecasting and technology diffusion. It shows: an introduction to different types of assessment methods and applications from different sectors including energy, healthcare and communications; technology forecasting and foresight and a review of conventional and emerging methods; and the diffusion of technologies by exploring adoption of products and services from different sectors."--Back cover.
Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 429
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Book Description
The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
Author: Cristina Fernández-Rovira
Publisher: CRC Press
ISBN: 1000626156
Category : Technology & Engineering
Languages : en
Pages : 233
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Book Description
Can behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it. Predictive Technology in Social Media comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.
Author: Yannis Manolopoulos
Publisher: Springer Nature
ISBN: 3030866688
Category : Computers
Languages : en
Pages : 304
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Book Description
This book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction focuses on the forecasting of future performance (or impact) of an entity, either a research article or a scientist, and also the prediction of future links in collaboration networks or identifying missing links in citation networks. The single chapters are written in a way that help the reader gain a detailed technical understanding of the corresponding subjects, the strength and weaknesses of the state-of-the-art approaches for each described problem, and the currently open challenges. While chapter 1 provides a useful contribution in the theoretical foundations of the fields of scientometrics and science of science, chapters 2-4 turn the focal point to the study of factors that affect research impact and its dynamics. Chapters 5-7 then focus on article-level measures that quantify the current and future impact of scientific articles. Next, chapters 8-10 investigate subjects relevant to predicting the future impact of individual researchers. Finally, chapters 11-13 focus on science evolution and dynamics, leveraging heterogeneous and interconnected data, where the analysis of research topic trends and their evolution has always played a key role in impact prediction approaches and quantitative analyses in the field of bibliometrics. Each chapter can be read independently, since it includes a detailed description of the problem being investigated along with a thorough discussion and study of the respective state-of-the-art. Due to the cross-disciplinary character of the Science of Science field, the book may be useful to interested readers from a variety of disciplines like information science, information retrieval, network science, informetrics, scientometrics, and machine learning, to name a few. The profiles of the readers may also be diverse ranging from researchers and professors in the respective fields to students and developers being curious about the covered subjects.
Author: Atin Basuchoudhary
Publisher: Rowman & Littlefield
ISBN: 1498587003
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
This book should be useful to anyone interested in identifying the causes of civil conflict and doing something to end it. It even suggests a pathway for the lay reader. Civil conflict is a persistent source of misery to humankind. Its study, however, lacks a comprehensive theory of its causes. Nevertheless, the question of cooperation or conflict is at the heart of political economy. This book introduces Machine Learning to explore whether there even is a unified theory of conflict, and if there is, whether it is a ‘good’ one. A good theory is one that not only identifies the causes of conflict, but also identifies those causes that predict conflict. Machine learning algorithms use out of sample techniques to choose between competing hypotheses about the sources of conflict according to their predictive accuracy. This theoretically agnostic ‘picking’ has the added benefit of offering some protection against many of the problems noted in the current literature; the tangled causality between conflict and its correlates, the relative rarity of civil conflict at a global level, missing data, and spectacular statistical assumptions. This book argues that the search for a unified theory of conflict must begin among these more predictive sources of civil conflict. In fact, in the book, there is a clear sense that game theoretic rational choice models of bargaining/commitment failure predict conflict better than any other approach. In addition, the algorithms highlight the fact that conflict is path dependent - it tends to continue once started. This is intuitive in many ways but is roundly ignored as a matter of science. It should not. Further, those causes of conflict that best predict conflict can be used as policy levers to end or prevent conflict. This book should therefore be of interest to military and civil leaders engaged in ending civil conflict. Last, though not least, the book highlights how the sources of conflict affect conflict. This additional insight may allow the crafting of policies that match a country’s specific circumstance.
Author: Gary M. Jackson
Publisher: John Wiley & Sons
ISBN: 1118239563
Category : Computers
Languages : en
Pages : 554
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Book Description
A groundbreaking exploration of how to identify and fight security threats at every level This revolutionary book combines real-world security scenarios with actual tools to predict and prevent incidents of terrorism, network hacking, individual criminal behavior, and more. Written by an expert with intelligence officer experience who invented the technology, it explores the keys to understanding the dark side of human nature, various types of security threats (current and potential), and how to construct a methodology to predict and combat malicious behavior. The companion CD demonstrates available detection and prediction systems and presents a walkthrough on how to conduct a predictive analysis that highlights proactive security measures. Guides you through the process of predicting malicious behavior, using real world examples and how malicious behavior may be prevented in the future Illustrates ways to understand malicious intent, dissect behavior, and apply the available tools and methods for enhancing security Covers the methodology for predicting malicious behavior, how to apply a predictive methodology, and tools for predicting the likelihood of domestic and global threats CD includes a series of walkthroughs demonstrating how to obtain a predictive analysis and how to use various available tools, including Automated Behavior Analysis Predicting Malicious Behavior fuses the behavioral and computer sciences to enlighten anyone concerned with security and to aid professionals in keeping our world safer.
Author: Alan L. Porter
Publisher: John Wiley & Sons
ISBN: 9780471512233
Category : Business & Economics
Languages : en
Pages : 472
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Book Description
Consistently practical in its coverage, the book discusses general issues related to forecasting and management; introduces a variety of methods, and shows how to apply these methods to significant issues in managing technological development. With numerous exhibits, case studies and exercises throughout, it requires only basic mathematics and includes a special technology forecasting TOOLKIT for the IBM and compatibles, along with full instructions for installing and running the program.
Author: Thomas E. Vass
Publisher: WingSpan Press
ISBN: 0979438802
Category : Disruptive technologies
Languages : en
Pages : 378
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Book Description
Often, the effect of technology on capital and labor are irrevocable, meaning that the past cannot predict future economic positions. This book describes a theory for predicting the trajectory of technology in specific metropolitan economic regions, and provides a practical business application process to help developers and entrepreneurs assess the market prospects for both the current generation and future technological iterations of innovative products.
