The Business Of Big Data: How to Create Lasting Value in the Age of AI

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Publisher :
ISBN 13 : 9780995529588
Total Pages : 150 pages
Book Rating : 4.5/5 (295 download)

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Book Synopsis The Business Of Big Data: How to Create Lasting Value in the Age of AI by : Uri Bram

Download or read book The Business Of Big Data: How to Create Lasting Value in the Age of AI written by Uri Bram and published by . This book was released on 2019-12-09 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're a sentient human these days, you've heard people talking of the phenomenal riches promised by the power of big data. Over the past decade or so, the world around us has undergone a staggering transformation, and great things have been promised to anyone able to ride the AI wave.But how exactly do you catch that wave? What does all this mean for you, whether you're an investor choosing among thousands of possible investments, a manager deciding where to allocate your capital, or a student wondering how to ensure there's good work out there for you by the time you graduate?*The Business of Big Data* will show you how to think strategically about the economic impacts of AI, how to complement AI instead of competing against it, how to reap the rewards of the AI revolution, and how to find your place in our brave new data-driven world. Along the way you'll find out how AI is like (and unlike) an ox, why your bank cares how fast you fill in a form, why your car insurer judges you by your email address, and why everything you do is data - from what time you first check your phone in the morning to where you sleep at night.

Competing in the Age of AI

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Publisher : Harvard Business Press
ISBN 13 : 1633697630
Total Pages : 175 pages
Book Rating : 4.6/5 (336 download)

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Book Synopsis Competing in the Age of AI by : Marco Iansiti

Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

The Digital Republic

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Publisher : Simon and Schuster
ISBN 13 : 1643139029
Total Pages : 253 pages
Book Rating : 4.6/5 (431 download)

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Book Synopsis The Digital Republic by : Jamie Susskind

Download or read book The Digital Republic written by Jamie Susskind and published by Simon and Schuster. This book was released on 2022-07-05 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: From one of the leading intellectuals of the digital age, The Digital Republic is the definitive guide to the great political question of our time: how can freedom and democracy survive in a world of powerful digital technologies? A Financial Times “Book to Read” in 2022 Not long ago, the tech industry was widely admired, and the internet was regarded as a tonic for freedom and democracy. Not anymore. Every day, the headlines blaze with reports of racist algorithms, data leaks, and social media platforms festering with falsehood and hate. In The Digital Republic, acclaimed author Jamie Susskind argues that these problems are not the fault of a few bad apples at the top of the industry. They are the result of our failure to govern technology properly. The Digital Republic charts a new course. It offers a plan for the digital age: new legal standards, new public bodies and institutions, new duties on platforms, new rights and regulators, new codes of conduct for people in the tech industry. Inspired by the great political essays of the past, and steeped in the traditions of republican thought, it offers a vision of a different type of society: a digital republic in which human and technological flourishing go hand in hand.

Cutting-Edge Business Technologies in the Big Data Era

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Author :
Publisher : Springer
ISBN 13 : 9783031424540
Total Pages : 0 pages
Book Rating : 4.4/5 (245 download)

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Book Synopsis Cutting-Edge Business Technologies in the Big Data Era by : Saad G. Yaseen

Download or read book Cutting-Edge Business Technologies in the Big Data Era written by Saad G. Yaseen and published by Springer. This book was released on 2023-08-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value

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Author :
Publisher : McGraw Hill Professional
ISBN 13 : 1260459152
Total Pages : 353 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by : Eric Anderson

Download or read book Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value written by Eric Anderson and published by McGraw Hill Professional. This book was released on 2020-11-23 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.

Cutting-Edge Business Technologies in the Big Data Era

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Author :
Publisher : Springer
ISBN 13 : 9783031424656
Total Pages : 0 pages
Book Rating : 4.4/5 (246 download)

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Book Synopsis Cutting-Edge Business Technologies in the Big Data Era by : Saad G. Yaseen

Download or read book Cutting-Edge Business Technologies in the Big Data Era written by Saad G. Yaseen and published by Springer. This book was released on 2023-08-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?

Data Strategy

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Publisher : Kogan Page Publishers
ISBN 13 : 1398602590
Total Pages : 273 pages
Book Rating : 4.3/5 (986 download)

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Book Synopsis Data Strategy by : Bernard Marr

Download or read book Data Strategy written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2021-10-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. Now in its second edition, this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world.

Smarter Data Science

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Publisher : John Wiley & Sons
ISBN 13 : 111969342X
Total Pages : 374 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Smarter Data Science by : Neal Fishman

Download or read book Smarter Data Science written by Neal Fishman and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

Radically Human

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Publisher : Harvard Business Press
ISBN 13 : 1647821096
Total Pages : 152 pages
Book Rating : 4.6/5 (478 download)

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Book Synopsis Radically Human by : Paul Daugherty

Download or read book Radically Human written by Paul Daugherty and published by Harvard Business Press. This book was released on 2022-04-26 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.

The AI Advantage

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Publisher : MIT Press
ISBN 13 : 0262538008
Total Pages : 243 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis The AI Advantage by : Thomas H. Davenport

Download or read book The AI Advantage written by Thomas H. Davenport and published by MIT Press. This book was released on 2019-08-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

Artificial Intelligence

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Publisher : HBR Insights
ISBN 13 : 9781633697898
Total Pages : 160 pages
Book Rating : 4.6/5 (978 download)

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Book Synopsis Artificial Intelligence by : Harvard Business Review

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

AI-based Data Analytics

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Author :
Publisher :
ISBN 13 : 9781032614076
Total Pages : 0 pages
Book Rating : 4.6/5 (14 download)

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Book Synopsis AI-based Data Analytics by :

Download or read book AI-based Data Analytics written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concept and applications of AI-based analytics related to marketing and business. It also discusses future research directions in this domain. It covers both aspects of artificial intelligence-based marketing and business that are helpful for business management to succeed in the marketplace by creating value

Artificial Intelligence Business Applications

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Author :
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.6/5 (848 download)

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Book Synopsis Artificial Intelligence Business Applications by : William J Ford

Download or read book Artificial Intelligence Business Applications written by William J Ford and published by . This book was released on 2020-09-10 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been hearing all the great things that artificial intelligence can do and wish you could take advantage of this transformational technology to give your business an edge over the competition? And are you looking for a guide that will introduce you to the world of practical AI, broken down in a language you understand so that you can introduce it to your business, even if you don't have a big budget? If you've answered YES, keep reading... You Are About To Discover Exactly How It Is Possible To Introduce Artificial Intelligence To Any Business And Reap Huge Benefits Out Of This Adoption! If you are often wondering how to apply AI to transform your business and boost your competitive advantage, then you came to the right place! As you know, IT is no longer just about codifying business logic and automating processes. Instead, insight is everything; it's the new currency. The speed at which you can scale that insight and its knowledge is the basis of value creation and is an important part of competitive advantage. While most organizations are still in the first phases of their data science journey and trying to figure out how to utilize AI to transform their businesses, you are already giving yourself a head start in a big way by coming here. This book is here to unleash actionable insights about AI and its application to help you increase efficiency in all aspects of your business by answering pertinent questions such as: What does AI mean in business? How do you get started with AI as a total beginner? What are some of the secrets of AI no one will tell you? What ways can AI benefit your business? How can you boost important operations like marketing with AI? In other words, you'll learn everything you need in simple, practical steps to confidently begin your journey of transforming your business effortlessly. Here're some of the things you should expect to discover: What artificial intelligence is all about, including how it is being used as well as its potential uses The ins and outs of machine learning, including its place in artificial intelligence, how it works and more The difference and features of supervised and unsupervised models How AI would benefit your business What you really need to know about AI as a business leader Important secrets about the planning unit of AI How to utilize AI to boost your marketing How to utilize AI to social media How artificial intelligence will change the nature of business in the future 12 of the best artificial intelligence tools you need to consider in the market today ...And much more! Adopting artificial intelligence early enough is important for any forward-looking company to create business value and set the stage to improve its business models and processes. You can imagine how you'd feel reaching your target productivity gains through AI. You can imagine how much valuable your company would be when you finally have advanced automated interactions, better customer intimacy, improved analysis and so forth with the help of AI. It would be a dream come true, wouldn't it? I bet it would, but it all starts with a single step, even if you feel ill-equipped to get started.... Click Buy Now With 1-Click or Buy Now at the top of the page to get started!

AI-Enabled Analytics for Business

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119736080
Total Pages : 243 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis AI-Enabled Analytics for Business by : Lawrence S. Maisel

Download or read book AI-Enabled Analytics for Business written by Lawrence S. Maisel and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.

Big Data, Big Analytics

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 111814760X
Total Pages : 230 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Big Data, Big Analytics by : Michael Minelli

Download or read book Big Data, Big Analytics written by Michael Minelli and published by John Wiley & Sons. This book was released on 2013-01-22 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

The Handbook of Data Science and AI

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Author :
Publisher : Carl Hanser Verlag GmbH Co KG
ISBN 13 : 1569908877
Total Pages : 573 pages
Book Rating : 4.5/5 (699 download)

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Book Synopsis The Handbook of Data Science and AI by : Stefan Papp

Download or read book The Handbook of Data Science and AI written by Stefan Papp and published by Carl Hanser Verlag GmbH Co KG. This book was released on 2022-04-11 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: - A comprehensive overview of the various fields of application of data science - Case studies from practice to make the described concepts tangible - Practical examples to help you carry out simple data analysis projects - BONUS in print edition: E-Book inside The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues: - Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms. - Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice - Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies - Computer vision: How can we gain insights from images and videos with data science? - Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios. - ML and AI in production: How to turn experimentation into a working data science product? - Presenting your results: Essential presentation techniques for data scientists

An Introduction to Data

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Author :
Publisher : Springer
ISBN 13 : 3030044688
Total Pages : 131 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis An Introduction to Data by : Francesco Corea

Download or read book An Introduction to Data written by Francesco Corea and published by Springer. This book was released on 2018-11-27 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.