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Adam Walker - The Ultimate Guide on Cybersecurity + Data Science: 2 Books in 1. From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for Your Business Success

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Book:
The Ultimate Guide on Cybersecurity + Data Science: 2 Books in 1. From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for Your Business Success
Author:
Adam Walker / Keith Hughes
Genre:
Books / Politics
Year:
2021
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Table of Contents

The Ultimate Guide on Cybersecurity + Data Science: Books in From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for Your Business Success

1.1 Catalan Competition Authority, THE DATA-DRIVEN ECONOMY. CHALLENGES FOR COMPETITION

1.2 Enter the data economy: European policies for a thriving data ecosystem

1.3 Big data: bringing competition policy to the digital era

1.4 Automotive industry connected car technology and car data

2.1 OECD, BIG DATA: Bringing competition policy to the digital era

2.2 OECD - Summary of Discussion of the Hearing on Big Data what could BD meanfor competition enforcement?

FOOD FOR THOUGHTS: What are competition authorities talking about when they talk about big data? linked to OECD hearing above

2.3 Unilateral Conduct

2.4 Android and Forking Restrictions: On the Hidden-Closeness of Open

2.5 European commission press release

2.6 Podcast - Android An Open Or Shut Case?

2.7 Amazon and the Law of the Jungle

3.1 Presentation - OECD, Competition policy in the digital era with a special focus on the challenges raised by algorithms

3.2 CMA, Pricing algorithms - Economic working paper on the use of algorithms to facilitate collusion and personalised pricing

4.1 WIPO, The role of IPRs in the fashion business: a US perspective

4.2 TRADEMARK from the article Making a mark (WIPO)

4.3 Fashion case: Gucci vs Guess saga: the European episode

4.4 3D trademarks in action

4.5 COPYRIGHT - WIPO, Creative expression

4.6 A focus on copyright and creativity

1.1 SOCIO TECHNICAL SYSTEM

1.2 CHANGE MANAGEMENT

2.1 CLOUDS, BIG DATA, AND SMART ASSETS: TEN TECH-ENABLED BUSINESS TRENDS TO WATCH

2.2. BIG DATA IMPLICATIONS

3.1 WHAT IS R?

3.2 DATA ANALYSIS AND FORECASTING WITH R

4.1 CROWDSOURCING

5.1 BLOCKCHAIN CRYPTOGRAPHY

5.2 BLOCKCHAIN AND BIG DATA

5.3 BLOCKCHAINS VERSUS TRADITIONAL DATABASES

6.1 STATISTICAL ANALYSIS

This document is geared towards providing exact and reliable

information with regards to the topic and issue covered. The

publication is sold with the idea that the publisher is not

required to render accounting, officially permitted, or otherwise,

qualified services. If advice is necessary, legal or professional, a

practiced individual in the profession should be ordered.

From a Declaration of Principles which was accepted and

approved equally by a Committee of the American Bar

Association and a Committee of Publishers and Associations.

In no way is it legal to reproduce, duplicate, or transmit any part

of this document in either electronic means or in printed

format. Recording of this publication is strictly prohibited and

any storage of this document is not allowed unless with written

The information provided herein is stated to be truthful and

consistent, in that any liability, in terms of inattention or

otherwise, by any usage or abuse of any policies, processes, or

directions contained within is the solitary and utter

responsibility of the recipient reader. Under no circumstances

will any legal responsibility or blame be held against the

publisher for any reparation, damages, or monetary loss due to

the information herein, either directly or indirectly.

Respective authors own all copyrights not held by the publisher.

The information herein is offered for informational purposes

solely, and is universal as so. The presentation of the

information is without contract or any type of guarantee

assurance.

The trademarks that are used are without any consent, and the

publication of the trademark is without permission or backing

by the trademark owner. All trademarks and brands within this

book are for clarifying purposes only and are the owned by the

owners themselves, not affiliated with this document.

Disclaimer

All erudition contained in this book is given for informational

and educational purposes only. The author is not in any way

accountable for any results or outcomes that emanate from

using this material. Constructive attempts have been made to

provide information that is both accurate and effective, but the

author is not bound for the accuracy or use/misuse of this

information.

The Ultimate Guide on Cybersecurity + Data Science: Books in

From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for Your Business Success

By International Management School

Narrators: Adam Walker, Keith Hughes

Intellectual Property and Competition Law

1. Competition Policy, Tech, and the Data Economy

1.1 Catalan Competition Authority, THE DATA-DRIVEN ECONOMY. CHALLENGES FOR COMPETITION

1.2 Enter the data economy: European policies for a thriving data ecosystem

1.3 Big data: bringing competition policy to the digital era

1.4 SLIDES - Automotive industry connected car technology and car data

2. Big Data and Abuse of Dominance

2.1 OECD, BIG DATA: Bringing competition policy to the digital era

2.2 OECD - Summary of Discussion of the Hearing on Big Data what could BD meanfor competition enforcement?

FOOD FOR THOUGHTS: What are competition authorities talking about when they talk about big data? linked to OECD hearing above

2.3 Unilateral Conduct

2.4 Android and Forking Restrictions: On the Hidden-Closeness of Open

2.5 European commission press release

2.6 Podcast - Android An Open Or Shut Case?

2.7 Amazon and the Law of the Jungle

Algorithms and collusion

3.1 Presentation - OECD, Competition policy in the digital era with a special focus on the challenges raised by algorithms

3.2 CMA, Pricing algorithms - Economic working paper on the use of algorithms to facilitate collusion and personalised pricing

Intellectual Property Rights: Introduction

4.1 WIPO, The role of IPRs in the fashion business: a US perspective

4.2 TRADEMARK from the article Making a mark (WIPO)

4.3 Fashion case: Gucci vs Guess saga: the European episode

4.4 3D trademarks in action

4.5 COPYRIGHT - WIPO, Creative expression

4.6 A focus on copyright and creativity

Competition Policy, Tech, and the Data Economy

1.1 Catalan Competition Authority, THE DATA-DRIVEN ECONOMY. CHALLENGES FOR COMPETITION

It is important to say that innovation influences the market and its operators, especially about competition conditions.

One of the most significant technological advances relates to the possibility of capturing a huge amount of information and the rapid processing thereof (two of the main features that make up the phenomenon known as big This not only entails the emergence of specialised operators in these activities, but also makes a possible.

In this regard, it expands the profitability of business models based on data and gives more strategic value to the collection thereof. The increased possibilities of obtaining revenue from the information lends greater efficiency to the strategy of setting a price of zero in one of the markets on which platform-type (two-sided) business models depend.

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