Ai And Big Data

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Artificial Intelligence for Big Data

Anand Deshpande,Manish Kumar
Artificial Intelligence for Big Data Book PDF

Author : Anand Deshpande,Manish Kumar
Publisher : Packt Publishing Ltd
Page : 371 pages
File Size : 53,8 Mb
Release : 2018-05-22
Category : Computers
ISBN : 9781788476010

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Artificial Intelligence for Big Data by Anand Deshpande,Manish Kumar Pdf

Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. 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. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

AI and Big Data’s Potential for Disruptive Innovation

Strydom, Moses,Buckley, Sheryl
AI and Big Data s Potential for Disruptive Innovation Book PDF

Author : Strydom, Moses,Buckley, Sheryl
Publisher : IGI Global
Page : 405 pages
File Size : 55,8 Mb
Release : 2019-09-27
Category : Computers
ISBN : 9781522596899

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AI and Big Data’s Potential for Disruptive Innovation by Strydom, Moses,Buckley, Sheryl Pdf

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.

Transforming Healthcare with Big Data and AI

Mingbo Gong,Anna Farzindar,Alex Liu
Transforming Healthcare with Big Data and AI Book PDF

Author : Mingbo Gong,Anna Farzindar,Alex Liu
Publisher : IAP
Page : 185 pages
File Size : 47,8 Mb
Release : 2020-04-01
Category : Computers
ISBN : 9781641138994

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Transforming Healthcare with Big Data and AI by Mingbo Gong,Anna Farzindar,Alex Liu Pdf

Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

HPC, Big Data, and AI Convergence Towards Exascale

Olivier Terzo,Jan Martinovič
HPC Big Data and AI Convergence Towards Exascale Book PDF

Author : Olivier Terzo,Jan Martinovič
Publisher : CRC Press
Page : 323 pages
File Size : 44,7 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9781000485110

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HPC, Big Data, and AI Convergence Towards Exascale by Olivier Terzo,Jan Martinovič Pdf

HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

Industrial Applications of Big Data, AI, and Blockchain

El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam
Industrial Applications of Big Data AI and Blockchain Book PDF

Author : El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam
Publisher : IGI Global
Page : 366 pages
File Size : 50,6 Mb
Release : 2024-01-29
Category : Business & Economics
ISBN : 9798369310472

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Industrial Applications of Big Data, AI, and Blockchain by El Samad, Mahmoud,Nassreddine, Ghalia,El-Chaarani, Hani,El Nemar, Sam Pdf

Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

An Introduction to Data

Francesco Corea
An Introduction to Data Book PDF

Author : Francesco Corea
Publisher : Springer
Page : 131 pages
File Size : 48,8 Mb
Release : 2018-11-27
Category : Technology & Engineering
ISBN : 9783030044688

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An Introduction to Data by Francesco Corea Pdf

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.

The Smart Cyber Ecosystem for Sustainable Development

Pardeep Kumar,Vishal Jain,Vasaki Ponnusamy
The Smart Cyber Ecosystem for Sustainable Development Book PDF

Author : Pardeep Kumar,Vishal Jain,Vasaki Ponnusamy
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 51,9 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781119761662

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The Smart Cyber Ecosystem for Sustainable Development by Pardeep Kumar,Vishal Jain,Vasaki Ponnusamy Pdf

The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Fintech with Artificial Intelligence, Big Data, and Blockchain

Paul Moon Sub Choi,Seth H. Huang
Fintech with Artificial Intelligence Big Data and Blockchain Book PDF

Author : Paul Moon Sub Choi,Seth H. Huang
Publisher : Springer Nature
Page : 306 pages
File Size : 45,6 Mb
Release : 2021-03-08
Category : Technology & Engineering
ISBN : 9789813361379

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Fintech with Artificial Intelligence, Big Data, and Blockchain by Paul Moon Sub Choi,Seth H. Huang Pdf

This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.

Big Data and Artificial Intelligence in Digital Finance

John Soldatos,Dimosthenis Kyriazis
Big Data and Artificial Intelligence in Digital Finance Book PDF

Author : John Soldatos,Dimosthenis Kyriazis
Publisher : Springer Nature
Page : 371 pages
File Size : 41,8 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 9783030945909

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Big Data and Artificial Intelligence in Digital Finance by John Soldatos,Dimosthenis Kyriazis Pdf

This open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.

The AI-Powered Enterprise

Seth Earley
The AI Powered Enterprise Book PDF

Author : Seth Earley
Publisher : LifeTree Media
Page : 203 pages
File Size : 46,9 Mb
Release : 2020-04-28
Category : Business & Economics
ISBN : 9781928055525

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The AI-Powered Enterprise by Seth Earley Pdf

Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.

Artificial Intelligence for Fashion Industry in the Big Data Era

Sébastien Thomassey,Xianyi Zeng
Artificial Intelligence for Fashion Industry in the Big Data Era Book PDF

Author : Sébastien Thomassey,Xianyi Zeng
Publisher : Springer
Page : 289 pages
File Size : 44,7 Mb
Release : 2018-05-16
Category : Business & Economics
ISBN : 9789811300806

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Artificial Intelligence for Fashion Industry in the Big Data Era by Sébastien Thomassey,Xianyi Zeng Pdf

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

Big Data, Big Design

Helen Armstrong
Big Data Big Design Book PDF

Author : Helen Armstrong
Publisher : Chronicle Books
Page : 177 pages
File Size : 42,5 Mb
Release : 2021-11-04
Category : Design
ISBN : 9781648960789

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Big Data, Big Design by Helen Armstrong Pdf

Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.

Data Analytics and AI

Jay Liebowitz
Data Analytics and AI Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 187 pages
File Size : 44,6 Mb
Release : 2020-08-06
Category : Computers
ISBN : 9781000094671

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Data Analytics and AI by Jay Liebowitz Pdf

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

Convergence of Cloud with AI for Big Data Analytics

Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Convergence of Cloud with AI for Big Data Analytics Book PDF

Author : Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 47,8 Mb
Release : 2023-02-13
Category : Computers
ISBN : 9781119905219

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Convergence of Cloud with AI for Big Data Analytics by Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya Pdf

CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.

The AI Book

Ivana Bartoletti,Anne Leslie,Shân M. Millie
The AI Book Book PDF

Author : Ivana Bartoletti,Anne Leslie,Shân M. Millie
Publisher : John Wiley & Sons
Page : 782 pages
File Size : 51,6 Mb
Release : 2020-04-09
Category : Business & Economics
ISBN : 9781119551928

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The AI Book by Ivana Bartoletti,Anne Leslie,Shân M. Millie Pdf

Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important