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Leadership Strategies In The Age Of Big Data Algorithms And Analytics

Leadership Strategies in the Age of Big Data  Algorithms  and Analytics PDF
Author: Norton Paley
Publisher: CRC Press
Release: 2017-02-03
Size: 29.46 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 286
View: 1203

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Harnessing the power of technology is one of the key measures of effective leadership. Leadership Strategies in the Age of Big Data, Algorithms, and Analytics will help leaders think and act like strategists to maintain a leading-edge competitive advantage. Written by a leading expert in the field, this book provides new insights on how to successfully transition companies by aligning an organization’s culture to accept the benefits of digital technology. The author emphasizes the importance of creating a team spirit with employees to embrace the digital age and develop strategic business plans that pinpoint new markets for growth, strengthen customer relationships, and develop competitive strategies. Understanding how to deal with inconsistencies when facts generated by data analytics disagree with your own experience, intuition, and knowledge of the competitive situation is key to successful leadership.

The Future Of Political Leadership In The Digital Age

The Future of Political Leadership in the Digital Age PDF
Author: Agnieszka Kasińska-Metryka
Publisher: Routledge
Release: 2020-12-31
Size: 71.17 MB
Format: PDF, ePub
Category : Political Science
Languages : en
Pages : 166
View: 806

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This book comprehensively describes the impact of modern technologies on political leadership by providing a new paradigm of the phenomenon of neo-leadership, that is political leadership oriented on creating both the image and political influence on the Internet. It examines its functioning in the new media environment and identifies the most important transforming trends, taking into account their impact on political and social relations in an era of dynamic technological development. Systematically exploring various dimensions of leadership, it presents new notions relevant in a networked world where leaders are created and conduct themselves against the backdrop of a technological revolution, including the development of AI, automation, algorithms and ultrafast networks, all of which strengthen or disrupt their impact and create a new set of virtual authorities exerting an increasing impact on society, ethical considerations and political life and requiring new methods for study. This book will be of key interest to scholars, students and practitioners of leadership and elite studies, media and communication studies, political marketing, political science, international relations; public policy, and sociology.

Timeless Leadership Truths

Timeless Leadership Truths PDF
Author: Norton Paley
Publisher: CRC Press
Release: 2019-08-06
Size: 11.38 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 236
View: 3172

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The origins of business strategy are found in military applications. Generals throughout history faced formidable challenges as they crafted plans to outmaneuver competing forces, acquire territory, and gain power. Similarly, business leaders also look to outmaneuver their rivals as they enter new markets against entrenched competitors, secure a strong market position, and expand their companies’ influence. Although the destructive aspects of war are not present in business, there is a reasonable parallel, such as the bankruptcies of once-mighty companies, which resulted in layoffs of thousands of employees and the closings of numerous plants. Then there was the devastating economic impact and societal disruption that created demoralizing misery among large groups of individuals in once-flourishing areas worldwide. The intent of the book is to improve managers’ ability to think strategically. The further aim is to blend the timeless lessons of military strategy into business plans, with impact in grassroots engagement with customers, as well as the inevitable clashes with competitors. In addition, readers can access a body of knowledge that has endured in written form and practiced by successful leaders for centuries. As such, managers will hold a competitive edge in an evolving digital-age marketplace.

Cyber Security Intelligence And Analytics

Cyber Security Intelligence and Analytics PDF
Author: Zheng Xu
Publisher: Springer Nature
Release: 2020-03-19
Size: 74.83 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 829
View: 3262

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This book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), which was dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly those focusing on threat intelligence, analytics, and preventing cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods, and applications concerning all aspects of cyber security intelligence and analytics. CSIA 2020, which was held in Haikou, China on February 28–29, 2020, built on the previous conference in Wuhu, China (2019), and marks the series’ second successful installment.

Pervasive Intelligence Now

Pervasive Intelligence Now PDF
Author: Anu Jain
Publisher: Wiley
Release: 2018-10-23
Size: 61.31 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 112
View: 4356

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This book looks at strategies to help companies become more intelligent, connected, and agile. It discusses how companies can define and measure high-impact outcomes and use effectively analytics technology to achieve them. It also looks at the technology needed to implement the analytics necessary to achieve high-impact outcomes—from both analytics tool and technical infrastructure perspective. Also discussed are ancillary, but critical, topics such as data security and governance that may not traditionally be a part of analytics discussions but are essential in helping companies maintain a secure environment for their analytics and access the quality data they need to gain critical insights and drive better decision-making.

Big Data Science And Analytics For Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism PDF
Author: Simon Elias Bibri
Publisher: Springer
Release: 2019-06-19
Size: 42.48 MB
Format: PDF, ePub
Category : Political Science
Languages : en
Pages : 337
View: 2384

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We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Author: Томас Дейвенпорт
Publisher: Наш формат
Size: 74.36 MB
Format: PDF
Category : Technology & Engineering
Languages : uk
Pages : 336
View: 3471

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Cтpax, щo тexнoлoгiї зaлишaть людeй бeз poбoти дужe дaвнiй. Тa жoдeн iз eтaпiв пpoгpecу пoки нe cпpичинив цьoгo. Мaшини пepeбpaли нa ceбe чacтину зaвдaнь, oднaк пocтiйнo зявлялиcя нoвi нiшi, a людям зaлишaлиcя нaйбiльш cклaднi й iнтeлeктуaльнi зaдaчi. Oднaк щo cтaнeтьcя кoли, штучний iнтeлeкт глибшe пpoникнe в нaшe життя? Aджe тeпep тexнoлoгiї зaxoплюють oдну з ключoвиx cфep людcькoї дiяльнocтi - пpийняття piшeнь. Aвтopи цiєї книги пepeкoнують: нe вapтo бути пecимicтoм. Зpeштoю, тiльки люди мoжуть нaдиxaти iншиx людeй, здaтнi пpoявляти чуйнicть, нaпoвнювaти cпpaви пpиcтpacтю, нacтpoєм тa вeceлoщaми.

Artificial Intelligence And Deep Learning For Decision Makers

Artificial Intelligence and Deep Learning for Decision Makers PDF
Author: Dr. Jagreet Kaur
Publisher: BPB Publications
Release: 2019-12-28
Size: 67.70 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 248
View: 7515

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Learn modern-day technologies from modern-day technical giants DESCRIPTION The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. KEY FEATURES Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methods Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packages You’ll be able to apply and analyze the results produced by the models for prediction WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods WHO THIS BOOK IS FOR This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents Artificial Intelligence and Deep Learning Data Science for Business Analysis Decision Making Intelligent Computing Strategies By Google Cognitive Learning Services in IBM Watson Advancement web services by Baidu Improved Social Business by Facebook Personalized Intelligent Computing by Apple Cloud Computing Intelligent by Microsoft

Unstructured Data Analytics

Unstructured Data Analytics PDF
Author: Jean Paul Isson
Publisher: John Wiley & Sons
Release: 2018-03-13
Size: 72.54 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 432
View: 5751

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Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.