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AI and Big Data’s Potential for Disruptive Innovation

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Data Lake Development with Big Data

Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This Book Comprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architecture Efficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalability Packed with industry best practices and use-case scenarios to get you up-and-running Who This Book Is For This book is for architects and senior managers who are responsible for building a strategy around their current data architecture, helping them identify the need for a Data Lake implementation in an enterprise context. The reader will need a good knowledge of master data management and information lifecycle management, and experience of Big Data technologies. What You Will Learn Identify the need for a Data Lake in your enterprise context and learn to architect a Data Lake Learn to build various tiers of a Data Lake, such as data intake, management, consumption, and governance, with a focus on practical implementation scenarios Find out the key considerations to be taken into account while building each tier of the Data Lake Understand Hadoop-oriented data transfer mechanism to ingest data in batch, micro-batch, and real-time modes Explore various data integration needs and learn how to perform data enrichment and data transformations using Big Data technologies Enable data discovery on the Data Lake to allow users to discover the data Discover how data is packaged and provisioned for consumption Comprehend the importance of including data governance disciplines while building a Data Lake In Detail A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications. This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data. Style and approach Data Lake Development with Big Data provides architectural approaches to building a Data Lake. It follows a use case-based approach where practical implementation scenarios of each key component are explained. It also helps you understand how these use cases are implemented in a Data Lake. The chapters are organized in a way that mimics the sequential data flow evidenced in a Data Lake.

Big Data in Complex Systems

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.

The Bitcoin Big Bang

Bitcoin mendapatkan reputasi buruk di masyarakat ketika dihubungkan dengan lingkaran pasar gelap, tetapi teknologi di balik Bitcoin sendiri membuatnya menjadi lebih menarik dibandingkan mata uang lainnya yang biasa-biasa saja. Buku “The Bitcoin Big Bang” memberikan pemahaman mengenai Bitcoin dari perspektif yang lebih kompleks dibandingkan buku-buku sebelumnya. Brian Kelly, seorang spesialis investasi mata uang dengan pengalaman lebih dari 20 tahun, melakukan penelitian secara luas mengenai revolusi Bitcoin dan menemukan sebuah potensi untuk menyebarkan perubahan sosial. Pemahaman mengenai bagaimana Bitcoin mengubah masa depan finansial, dan bahkan sifat dasar dari internet itu sendiri, adalah sebuah keharusan bagi siapa pun yang tertarik atau bersiap untuk melakukan investasi di platform trading baru.

Big Data

In 2012, the Defense Intelligence Agency (DIA) approached the National Research Council's TIGER standing committee and asked it to develop a list of workshop topics to explore the impact of emerging science and technology. From the list of topics given to DIA, three were chosen to be developed by the Committee for Science and Technology Challenges to U.S. National Security Interests. The first in a series of three workshops was held on April 23-24, 2012. This report summarizes that first workshop which explored the phenomenon known as big data. The objective for the first workshop is given in the statement of task, which explains that that workshop will review emerging capabilities in large computational data to include speed, data fusion, use, and commodification of data used in decision making. The workshop will also review the subsequent increase in vulnerabilities over the capabilities gained and the significance to national security. The committee devised an agenda that helped the committee, sponsors, and workshop attendees probe issues of national security related to so-called big data, as well as gain understanding of potential related vulnerabilities. The workshop was used to gather data that is described in this report, which presents views expressed by individual workshop participants. Big Data: A Workshop Report is the first in a series of three workshops, held in early 2012 to further the ongoing engagement among the National Research Council's (NRC's) Technology Insight-Gauge, Evaluate, and Review (TIGER) Standing Committee, the scientific and technical intelligence (S&TI) community, and the consumers of S&TI products.

Big Data

Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible primer on Big Data and its business implications, this book will enable readers to quickly grasp the key issues and effectively implement the right solutions to collecting, licensing, handling, and using Big Data. The book brings together subject matter experts who examine a different area of law in each chapter and explain how these laws can affect the way your business or organization can use Big Data. These experts also supply recommendations as to the steps your organization can take to maximize Big Data opportunities without increasing risk and liability to your organization. Provides a new way of thinking about Big Data that will help readers address emerging issues Supplies real-world advice and practical ways to handle the issues Uses examples pulled from the news and cases to illustrate points Includes a non-technical Big Data primer that discusses the characteristics of Big Data and distinguishes it from traditional database models Taking a cross-disciplinary approach, the book will help executives, managers, and counsel better understand the interrelationships between Big Data, decisions based on Big Data, and the laws, regulations, and contracting practices that impact its use. After reading this book, you will be able to think more broadly about the best way to harness Big Data in your business and establish procedures to ensure that legal considerations are part of the decision.

Pijar-Pijar Manajemen Bisnis Indonesia

Buku ini menjelaskan pentingnya membangun konstruksi perekonomian dan sistem bisnis yang tepat. Agar Indonesia dan para pelaku bisnis tetap eksis dan dapat membangun daya saing berkelanjutan, kita sangat membutuhkan proses rethinking dan reframing konstruksi sistem sosial-ekonomi serta restrukturisasi tatanan kelembagaan yang sejuk dan terintegrasi.” -Prasetiya Mulya Publishing-

Big Data Software Solutions by IBM, Oracle, SAP and Microsoft. A Market Overview

Seminar paper from the year 2017 in the subject Computer Science - Software, grade: 1,0, California Lutheran University (Business Administration), course: MBA for Executives, language: English, abstract: In this research paper, the author would like to take a look at the current Big Data vendors, and present the status quo of the leading Big Data solutions. The Big Data market has grown significantly in the last years. The offered solutions are very sophisticated and cover a broad range of user requirements, and have become more user friendly. In the recent years, several well-known IT companies released new products that specialize in Big Data analysis. The desire to analyze more and more data to gain a better understanding of e.g. customer needs, manufacturing efficiencies or e.g. to create predictive analysis based on past consumer behavior drove the need to enhance the functionality of existing business intelligence solutions towards a more open Big Data architecture, that allows the analysis of massive amounts of structured and unstructured data.

Big Data For Dummies

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.

AKUNTANSI MANAJEMEN

Seiring dengan kemajuan zaman yang terus berkembang, seluruh kegiatan bisnis harus unggul secara kompetitif, yaitu bersaing untuk memberikan nilai berkualitas dengan biaya efisien. Bisnis yang baik dan benar mutlak memilki transparansi dalam pengelolaan keuangannya, sehingga dapat memperoleh kepercayaan dari seluruh elemen terkait. Akuntansi manajemen merupakan proses mengolah transaksi keuangan, mengidentifikasi, mengukur, melakukan analisis serta menyajikan dalam bentuk informasi yang digunakan oleh manajemen perusahaan sebagai perencanaan, pengendalian, evaluasi aktifitas maupun untuk menjamin efektifitas kegiatan usaha dalam pemakaian sumber-sumber ekonomi perusahaan dan pertanggungjawabannya.

Akuntansi Manajemen Berbasis Desain

Dalam sebuah bisnis, uang sudah dianggap lebih dari sekadar darah kehidupannya. Faktor uang selain digunakan sebagai “tujuan berbisnis”, misalnya mendapatkan uang sebanyak-banyaknya, secepat-cepatnya, dan selanggeng-langgengnya, uang juga digunakan sebagai indikator “sehat-tidak-sehatnya” kondisi bisnis serta sebagai indikator “benar-tidaknya” sebuah bisnis. Buku ini disusun dengan maksud memberikan tools bagi manajer dalam menggunakan informasi terkait uang untuk justifikasi pengambilan keputusan terkait bisnis. Dalam buku ini dipilih pendekatan desain dengan pertimbangan justifikasi tentang ketepatan sebuah keputusan bisnis sangat dipengaruhi oleh model bisnis yang dipilih atau dijalani. Lebih lanjut, pengambilan pendekatan desain juga didukung oleh kenyataan bahwa bidang akuntansi manajemen lebih fokus pada asas manfaat dan efektivitas dalam mendukung pengambilan keputusan—tidak seperti dalam bidang akuntansi keuangan yang sifatnya sangat formal dan standar. [UGM Press, UGM, Gadjah Mada University Press]

Manajemen resiko

Sepanjang manusia hidup, manusia akan selalu menghadapi risiko. Dalam kehidupan ini kita akan selalu menghadapi ketidakpastian, kita tidak tahu secara pasti apa yang akan terjadi pada 1 tahun yang akan datang, beberapa bulan atau minggu yang akan datang, bahkan beberapa menit atau detik yang akan datang. Dunia ini penuh dengan ketidakpastian, kecuali kematian, itupun tetap mengandung ketidakpastian, karena kita tidak tahu kapan akan mati, di mana kematian atau disebabkan oleh apa kematian itu terjadi. Karena kita tidak tahu persis apa yang akan terjadi pada masa yang akan datang, bisa jadi apa yang kita rencanakan pada saat pelaksanaannya gagal, tidak sesuai dengan harapan kita oleh karena kondisinya ternyata tidak sama dengan apa yang kita prediksikan sebelumnya. Ketika kegagalan itu terjadi oleh karena berbagai faktor yang menyebabkannya, bisa jadi kita akan

Akuntansi Manajemen

Buku ini pula disusun dalam bahasa yang sangat sederhana sehingga mudah dipahami para pembaca dan dilengkapi dengan latihan latihan sederhana. Diharapkan dengan hadirnya buku ini dapat memeberikan pengetahuan dan wawasan bagi para pembaca atau siapapun yang berminat untuk mempelajari akuntansi manajemen.