The law of big data a business and legal guide: This book is written by James R. Kalyvas and Michael R. Overly. You can download it freely in pdf format. “Big Data” is being discussed with increasing importance and urgency every day in boardrooms and other strategic and operational meetings in organizations around the world. This book begins where many great books and articles on Big Data end: We accept that Big Data will materially change the way businesses and organizations make decisions. Our purpose is to help executives, managers, and advisors better understand the interrelationships between Big Data and the laws, regulations, and contracting practices that can impact the use of Big Data.
In each chapter of the book, we discuss an area of the law that will affect how your company or organization uses Big Data. We also provide recommendations on steps your organization can take to maximize your ability to take advantage of the many opportunities that Big Data presents without creating unforeseen risks and liabilities for your organization.
|Book Name||The law of big data a business and legal guide|
|Author of Book||James R. Kalyvas and Michael R. Overly|
Overview of The law of big data a business and legal guide pdf freeAccording to James R. Kalyvas and Michael R. Overly, without creating unforeseen risks and liabilities for your organization. This book is not a warning against the use of Big Data. On the contrary, we believe that Big Data has had the most significant impact on the way decisions are made in organizations since the advent of the spreadsheet. Instead, this book is designed to (1) help you think more broadly about the implications of using big data, and (2) help organizations establish procedures to ensure or validate that legal considerations are part of their efforts to take advantage of big data. the power of big data.
We have also observed that executives, managers, and consultants can have a very different understanding of what Big Data is compared to the technologists and data scientists in their organizations. The propensity for these different understandings is magnified by the lack of a single accepted definition of Big Data. There is an even less common understanding among executives, managers, and consultants who are not involved with technology on a day-to-day basis about how big data works. To help address this gap in understanding Big Data, in Chapter 1 we discuss the definition of Big Data that we use in this book, as well as several other popular definitions for comparison. We also provide a basic Big Data primer, in plain language (from a non-technical perspective), discussing the features that distinguish Big Data from traditional database models.
- Uses examples from the news and cases to show points
- Provides real-world advice and practical ways to handle problems.
- Offers a new way of thinking about Big Data that will help readers address emerging issues
- Contains a basic manual of non-technical Big Data that analyzes the characteristics of Big Data and distinguishes it
Topics of this EditionChapter 1: A Big Data Primer for Executives
Chapter 2: Overview of Information Security and Compliance: Seeing the Forest for the Trees
Chapter 3: Information Security in Vendor and Business Partner Relationships
Chapter 4: Privacy and Big Data
Chapter 5: Federal and State Data Privacy Laws and Their Implications for the Creation and Use of Health Information Databases
Chapter 6: Big Data and Risk Assessment
Chapter 7: Licensing Big Data
Chapter 8: The Antitrust Laws and Big Data
Chapter 9: The Impact of Big Data on Insureds, Insurance Coverage, and Insurers
Chapter 10: Using Big Data to Manage Human Resources
Chapter 11: Big Data Discovery
About the AuthorJames R. Kalyvas is a partner at Foley & Lardner LLP and a member of the firm’s National Management Committee. He is the firm’s chief strategy officer, president of the firm’s technology transactions and outsourcing practice, and a member of the technology and healthcare industry teams. Mr. Kalyvas advises companies, public entities, and associations on all matters related to the use of information technology, including the structuring of technology initiatives (eg outsourcing, ERP, CRM); vendor selection (RFP strategies, response development, and review); talks; technology implementation (professional service agreements, SOWs and SLAs); and business management of technology assets.
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