Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management
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Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management
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Author : MURALI MALEMPATI
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management written by MURALI MALEMPATI and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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Intelligent Financial Infrastructure Ai Enabled Architecture For Real Time Payments Cloud Platforms And Big Data Integration
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Author : Harish Kumar Sriram
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Intelligent Financial Infrastructure Ai Enabled Architecture For Real Time Payments Cloud Platforms And Big Data Integration written by Harish Kumar Sriram and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Competing On Analytics
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Author : Thomas H. Davenport
language : en
Publisher: Harvard Business Press
Release Date : 2007-03-06
Competing On Analytics written by Thomas H. Davenport and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Business & Economics categories.
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Big Data At Work
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Author : Thomas Davenport
language : en
Publisher: Harvard Business Review Press
Release Date : 2014-02-04
Big Data At Work written by Thomas Davenport and has been published by Harvard Business Review Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-04 with Business & Economics categories.
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.
The Future Computed
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Author : Microsoft Corporation
language : en
Publisher:
Release Date : 2018
The Future Computed written by Microsoft Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Artificial intelligence categories.
The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-14
The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Business & Economics categories.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Exploring The Boundaries Of Big Data
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Author : Bart van der Sloot
language : en
Publisher:
Release Date : 2016
Exploring The Boundaries Of Big Data written by Bart van der Sloot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Big data categories.
In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.
Artificial Intelligence And Its Impact On Public Administration
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Author : Alan Shark
language : en
Publisher:
Release Date : 2019-04
Artificial Intelligence And Its Impact On Public Administration written by Alan Shark and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04 with categories.
The Digital Transformation Of Smes
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Author : Oecd
language : en
Publisher: Org. for Economic Cooperation & Development
Release Date : 2021-02-12
The Digital Transformation Of Smes written by Oecd and has been published by Org. for Economic Cooperation & Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with categories.
The Cambridge Handbook Of The Law Of Algorithms
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Author : Woodrow Barfield
language : en
Publisher: Cambridge University Press
Release Date : 2020-11-05
The Cambridge Handbook Of The Law Of Algorithms written by Woodrow Barfield and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Law categories.
Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.