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New books about big data, machine learning, AI and the chief data officer role
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By Suliman Hawamdeh and Hsia-Ching Chang, Auerbach Publications 2018 ($119.95 Amazon price for hardcover)

From Amazon: “Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen.”
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Artificial Intelligence and Deep Learning Essentials: Fundamentals of Deep Learning and Neural Networks
By James Russell, independently published, 2018 ($250 Amazon price for paperback)

From Amazon: “This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy data sets, small data sets, and more.”
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Artificial Intelligence for Big Data: Complete Guide to Automating Big Data Solutions Using Artificial Intelligence Techniques
By Anand Deshpande and Manish Kumar, Packt Publishing, 2018 ($44.99 Amazon price for paperback)

From Amazon: “With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.”
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Big Data Demystified: How to Use Big Data, Data Science and AI to Make Better Business Decisions and Gain Competitive Advantage
By David Stephenson, FT Press, 2018 ($18.53 Amazon price for paperback)

From Amazon: “With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: Know which data is most useful to collect now and why it’s important to start collecting that data as soon as possible; Understand big data and data science and how they can help you reach your business goals and gain competitive advantage; Use big data to understand where you are now and how you can improve in the future; Understand factors in choosing a big data system, including whether to go with cloud-based solutions; Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven.”

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Building a Digital Analytics Organization: Create Value by Integrating Analytical Processes, Technology and People into Business Operations
By Judah Phillips, Pearson FT Press, 2013 ($20.96 Amazon price for hardcover)

From Amazon: “This guide covers all you need to know to build a well-resourced digital analytics team, and then back it with cross-functional support and alignment from IT, marketing, finance, the executive team, and beyond...while successfully applying analytics across the business. You will learn what it means to be "doing analytics": creating analytical processes and managing teams; collecting and governing data; analyzing paid, owned, and earned media; performing competitive and qualitative analyses; testing and optimization; targeting and automating; integrating digital data; using predictive modeling and other data sciences; and much more."

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The Chief Data Officer's Playbook
By Caroline Carruthers and Peter Jackson, Facet Publishing, 2017 ($55.00 Amazon price for paperback)

From Amazon: “Bringing together views, opinions and practitioners experience for the first time, The Chief Data Officer's Playbook offers a compelling guide to anyone looking to understand the current (and possible future) CDO landscape. Content covered includes: Why does any organization need a CDO?; The secret ingredients of the successful CDO; Avoiding the hype cycle; The CDO place in the C-suite; Building the CDO team; The CDO and technology; Enablement not red tape; Advice to give the business owners. This book will offer key insight for CDOs looking to understand their position better, for aspiring CDOs and data officers looking at career progression, for those recruiting CDOs, and anyone else looking to understand the CDO landscape.”
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Chief Data Officer: The Ultimate Step-By-Step Guide
By Gerardus Blokdyk, CreateSpace Independent Publishing Platform, 2018 ($77.42 Amazon price for paperback)

From Amazon: “This on-of-a-kind chief data officer self-assessment will make you the trusted chief data officer domain adviser by revealing just what you need to know to be fluent and ready for any chief data officer challenge.There’s no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all chief data officer essentials are covered, from every angle: the chief data officer self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that chief data officer outcomes are achieved.”
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Creating Value With Social Media Analytics: Managing, Aligning and Mining Social Media Text, Networks, Actions, Location, Apps, Hyperlinks, Multimedia & Search Engines Data
By Gohar F. Khan, CreateSpace Independent Publishing Platform, 2018 ($65.51 Amazon price for paperback)

From Amazon: “In Creating Value with Social Media Analytics, we draw on developments in social media analytics theories and tools to develop a comprehensive social media value creation framework that allows readers to define, align, capture, and sustain value through social media data. The book offers concepts, strategies, tools, tutorials, and case studies that brands need to align, extract, and analyze a variety of social media data, including text, actions, networks, multimedia, apps, hyperlinks, search engines, and location data. By the end of this book, the readers will have mastered the theories, concepts, strategies, techniques, and tools necessary to extract business value from big social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make sound business decisions.”
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Data and Information Quality: Dimensions, Principles and Techniques (Data-Centric Systems and Applications)
By Carlo Batini and Monica Scannapieco, Springer, 2018 ($109.99 Amazon price for paperback)

From Amazon: “The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.”
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Data Protection Officer (DPO)
By Sarah Taylor, Independently published, 2018 ($9.00 Amazon price for paperback)

From Amazon: “A data protection officer (DPO) is an enterprise security leadership role required by the General Data Protection Regulation (GDPR). Data protection officers are responsible for managing data protection strategy and execution to ensure compliance with GDPR requirements. Entities will have to make considerable efforts to get their data protection organization into compliance with the GDPR. Different organizational requirements will have to be fulfilled. Records of Processing Activities Controllers and processors will have to implement records of their processing activities that will—if thoroughly maintained—permit to prove compliance with the GDPR towards the Supervisory Authorities and help to fulfil the information obligations towards the data subjects.”
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Deep Learning: Step-by-Step - A Sensible Guide Presenting the Concepts of Deep Learning with Real-World Examples: Machine Learning Series, Book 3
By Matthew Harper, CreateSpace Independent Publishing Platform, 2018 ($15.38 Amazon price for paperback

From Amazon: “This book will explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works. Here you’ll learn: How deep learning came about and the basic concept behind it; The different aspects of deep learning; The different types of machine learning and what they are used for; Basic understanding of how it works; Several applications of the technology already in use today; What the future holds for you and deep learning.
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The Fourth Age: Smart Robots, Conscious Computers and the Future of Humanity
By Byron Reese, Atria Books, 2018 ($16.07 Amazon price for hardcover)

From Amazon: “We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. The Fourth Age provides extraordinary background information on how we got to this point, and how—rather than what—we should think about the topics we’ll soon all be facing: machine consciousness, automation, employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity.”
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Keras Deep Learning Cookbook: Over 80 Recipes for Implementing Deep Neural Networks In Python
By Rajdeep Dua and Manpreet Singh Ghotra, Packt Publishing, 2018 ($49.99 Amazon price for paperback)

From Amazon: “This book shows you how to tackle different problems in training efficient deep learning models using the popular Keras library. Starting with installing and setting up of Keras, the book demonstrates how you can perform deep learning with Keras on top of Tensorflow, Apache MXNet and CNTK backend's. From loading the data to fitting and evaluating your model for optimal performance, you will go through a step by step process to tackle every possible problem in training deep models. You will implement efficient convolutional neural networks, recurrent neural networks, adversarial networks and more, with the help of this handy guide. You will also see how to train these models for real-world image and language processing tasks.”
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Machines That Think: The Future of Artificial Intelligence
By Tom Walsh, Prometheus Books, 2018 ($12.00 Amazon price for paperback)

From Amazon: “How will Artificial Intelligence (AI) impact our lives? Toby Walsh, one of the leading AI researchers in the world, takes a critical look at the many ways in which 'thinking machines' will change our world. Based on a deep understanding of the technology, Walsh describes where Artificial Intelligence is today, and where it will take us. [He tackles the questions]: Will automation take away most of our jobs?; Is a 'technological singularity' near?; What is the chance that robots will take over?; How do we best prepare for this future? The author concludes that, if we plan well, AI could be our greatest legacy, the last invention human beings will ever need to make.”
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Robotic Process Automation: Guide To Building Software Robots, Automate Repetitive Tasks & Become An RPA Consultant
By Richard Murdoch, independently published, ($5.58 Amazon price for paperback)

From Amazon: “This is the perfect book for you if you are looking to become an automation consultant – a field that is poised to grow dramatically in the next few years with mass unemployment becoming an increasingly probable reality. Getting into automation by specializing in RPA is an option for people who are programmers as well as non-programmers due to their intuitive design & no-code developer environments. This fascinating book features quick-start advice on how to get going with this powerful technology. We will be looking at deployment strategies, platform selection guidance, RPA project management, programming techniques and automation scenarios across a variety of different applications like Windows, Microsoft Excel, Databases, SAP, etc.”