The Business Of Big Data How To Create Lasting Value In The Age Of Ai

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

Uri Bram,Martin Schmalz
The Business Of Big Data How to Create Lasting Value in the Age of AI Book PDF

Author : Uri Bram,Martin Schmalz
Publisher : Unknown
Page : 150 pages
File Size : 42,6 Mb
Release : 2019-12-09
Category : Business & Economics
ISBN : 0995529582

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The Business Of Big Data: How to Create Lasting Value in the Age of AI by Uri Bram,Martin Schmalz Pdf

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.

The Digital Republic

Jamie Susskind
The Digital Republic Book PDF

Author : Jamie Susskind
Publisher : Simon and Schuster
Page : 253 pages
File Size : 54,6 Mb
Release : 2022-07-05
Category : Political Science
ISBN : 9781643139029

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The Digital Republic by Jamie Susskind Pdf

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.

Competing in the Age of AI

Marco Iansiti,Karim R. Lakhani
Competing in the Age of AI Book PDF

Author : Marco Iansiti,Karim R. Lakhani
Publisher : Harvard Business Press
Page : 175 pages
File Size : 54,9 Mb
Release : 2020-01-07
Category : Business & Economics
ISBN : 9781633697638

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Competing in the Age of AI by Marco Iansiti,Karim R. Lakhani Pdf

"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.

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

Eric Anderson,Florian Zettelmeyer
Leading with AI and Analytics Build Your Data Science IQ to Drive Business Value Book PDF

Author : Eric Anderson,Florian Zettelmeyer
Publisher : McGraw Hill Professional
Page : 353 pages
File Size : 42,8 Mb
Release : 2020-11-23
Category : Business & Economics
ISBN : 9781260459159

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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by Eric Anderson,Florian Zettelmeyer Pdf

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.

Data Strategy

Bernard Marr
Data Strategy Book PDF

Author : Bernard Marr
Publisher : Kogan Page Publishers
Page : 273 pages
File Size : 53,5 Mb
Release : 2021-10-03
Category : Business & Economics
ISBN : 9781398602595

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Data Strategy by Bernard Marr Pdf

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.

Cutting-Edge Business Technologies in the Big Data Era

Saad G. Yaseen
Cutting Edge Business Technologies in the Big Data Era Book PDF

Author : Saad G. Yaseen
Publisher : Springer
Page : 0 pages
File Size : 40,7 Mb
Release : 2023-08-31
Category : Computers
ISBN : 3031424654

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Cutting-Edge Business Technologies in the Big Data Era by Saad G. Yaseen Pdf

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?

Cutting-Edge Business Technologies in the Big Data Era

Saad G. Yaseen
Cutting Edge Business Technologies in the Big Data Era Book PDF

Author : Saad G. Yaseen
Publisher : Springer
Page : 0 pages
File Size : 48,9 Mb
Release : 2023-08-27
Category : Computers
ISBN : 3031424549

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Cutting-Edge Business Technologies in the Big Data Era by Saad G. Yaseen Pdf

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?

Smarter Data Science

Neal Fishman,Cole Stryker
Smarter Data Science Book PDF

Author : Neal Fishman,Cole Stryker
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 42,5 Mb
Release : 2020-04-14
Category : Computers
ISBN : 9781119693420

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Smarter Data Science by Neal Fishman,Cole Stryker Pdf

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.

Artificial Intelligence

Harvard Business Review
Artificial Intelligence Book PDF

Author : Harvard Business Review
Publisher : HBR Insights
Page : 160 pages
File Size : 54,9 Mb
Release : 2019
Category : Business & Economics
ISBN : 1633697894

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Artificial Intelligence by Harvard Business Review Pdf

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.

Artificial Intelligence Business Applications

William J Ford
Artificial Intelligence Business Applications Book PDF

Author : William J Ford
Publisher : Unknown
Page : 160 pages
File Size : 45,9 Mb
Release : 2020-09-10
Category : Electronic
ISBN : 9798684832482

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Artificial Intelligence Business Applications by William J Ford Pdf

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!

Big Data Analytics for Entrepreneurial Success

Sedkaoui, Soraya
Big Data Analytics for Entrepreneurial Success Book PDF

Author : Sedkaoui, Soraya
Publisher : IGI Global
Page : 300 pages
File Size : 46,8 Mb
Release : 2018-11-09
Category : Business & Economics
ISBN : 9781522576105

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Big Data Analytics for Entrepreneurial Success by Sedkaoui, Soraya Pdf

In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for today’s organizations and entrepreneurs to implement a robust data strategy and industrialize a set of “data-driven” solutions to utilize big data analytics to its fullest potential. Big Data Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. Featuring coverage on a broad range of topics such as algorithms, data collection, and machine learning, this publication provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics. It is ideally designed for entrepreneurs, researchers, business owners, managers, graduate students, academicians, software developers, and IT professionals seeking current research on the essential tools and technologies for organizing, analyzing, and benefiting from big data.

The Handbook of Data Science and AI

Katherine Munro,Stefan Papp,Danko Nikolic,Wolfgang Weidinger,Annalisa Cadonna,Zoltan Toth,Georg Langs
The Handbook of Data Science and AI Book PDF

Author : Katherine Munro,Stefan Papp,Danko Nikolic,Wolfgang Weidinger,Annalisa Cadonna,Zoltan Toth,Georg Langs
Publisher : Unknown
Page : 0 pages
File Size : 51,9 Mb
Release : 2024
Category : Computers
ISBN : 1569909342

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The Handbook of Data Science and AI by Katherine Munro,Stefan Papp,Danko Nikolic,Wolfgang Weidinger,Annalisa Cadonna,Zoltan Toth,Georg Langs Pdf

Data Science, Big Data, Artificial Intelligence and Generative AI 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: - Understand crucial data science concepts, from statistics and mathematics to legal and ethical considerations. - Learn how to build data platforms and deploy safe and robust data projects to production. - Gain the vocabulary to communicate technical requirements and roadmaps to diverse business stakeholders. - Dive into practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. The team of authors consists of data experts from business and academia, including data scientists, engineers, business leaders and legal experts. Their broad, deep guide to all aspects of working with data and AI includes: - Machine Learning Fundamentals: Foundations of mathematics and statistics, plus common frameworks for applying ML in practice: from statistical ML to neural networks, Transformers and AutoML - Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, and put it to use in real world applications - Foundation Models and Generative AI: Understand the strengths, challenges, and practical considerations for working with generative models for text, image, video, and other types of data - Modeling and Simulation: Model the behavior of complex systems and do a What-If analysis covering different scenarios - Data Science, ML and AI in production: How can you use cloud and database technologies and MLOps to turn experimentation into a working data product? - Talking about Data: Communication and presentation skills for effective data teams and innovative business leaders - Building Safe, Responsible AI: Best practices in ML Security; safeguarding generative AI models from attack; and how to adhere to GDPR, CCPA, and the new AI act All authors are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and Machine Learning and raising awareness of the opportunities and potential risks of these technologies.

It's All Analytics!

Scott Burk,Gary D. Miner
It s All Analytics Book PDF

Author : Scott Burk,Gary D. Miner
Publisher : CRC Press
Page : 186 pages
File Size : 51,8 Mb
Release : 2020-05-25
Category : Medical
ISBN : 9781000067224

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It's All Analytics! by Scott Burk,Gary D. Miner Pdf

It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.

Step Up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data

Shitalkumar R Sukhdeve
Step Up for Leadership in Enterprise Data Science Artificial Intelligence with Big Data Book PDF

Author : Shitalkumar R Sukhdeve
Publisher : Independently Published
Page : 304 pages
File Size : 46,5 Mb
Release : 2020-11-27
Category : Electronic
ISBN : 9798572621037

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Step Up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data by Shitalkumar R Sukhdeve Pdf

Review: "I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India "It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book.", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem LtdWhy should you read this book? 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate. Is it not surprising to know when data science and AI are in the top trend? If you are looking for a career in data science or looking for leadership, these insights may disturb you. Don't worry, "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will -Burst the myths around data science, AI & big data-Presents the real business scenarios -Take you on the journey of data science, AI & big data even if you are an ultimate beginner.-Introduce you to the essential skills of success in this field -Develop a leadership mindset by cutting edge methodologies & strategies-Make you aware of technical trends around it-Develop technical skills with R, Python, Machine learning with big data as well as business skills-Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field. Each day counts. So as your steps. Step up immediately and begin your journey to your dreams of data science and AI.

Big Data Analytics: A Management Perspective

Francesco Corea
Big Data Analytics A Management Perspective Book PDF

Author : Francesco Corea
Publisher : Springer
Page : 48 pages
File Size : 52,5 Mb
Release : 2018-06-14
Category : Computers
ISBN : 3319817868

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Big Data Analytics: A Management Perspective by Francesco Corea Pdf

This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.