In the first of a two-part report series, we examine the complex forces impacting data privacy. It is only by understanding these forces that we can formulate the optimum privacy strategies and best practices.
- The prevailing approach to leveraging data insights is the equivalent of fracking. This is an intrusive process operating in the margins of regulation and consumer acceptance to maximize the volume and variety of data sets and the speed of extraction.
- Powerful consumer tech firms such as Facebook and Google are so adept at data collection at scale that they have become data super platforms. These players are also AI hyper-scalers, and the data imperatives that drive them makes privacy vulnerable.
- AI can generate increasingly broad and deep data sets, at scale and speed. AI machine learning (ML) models can detect hitherto unforeseen patterns and connections, and make increasingly accurate predictions. This introduces new complexity and challenges for data privacy.
Features and Benefits
- Understand how, from where, and why data insights are proliferating and what this means for consumer data privacy.
- Understand how AI is impacting consumer data privacy today and in the future, and what this means for privacy.
- Learn why the prevailing "data fracking" approach to data extraction must change – and how this needs to happen.
- Get to grips with principles behind the General Data Protection Regulation – and how this sits alongside AI developments.
- Learn about consumer attitudes to data privacy – and how they are responding to the issues.
Key questions answered
- What impact are the big consumer tech and OTT players like Google and Facebook having on consumer data privacy?
- Where is the data explosion coming from – how are data insights changing and how does AI affect this?
- How is AI impacting data privacy – where are the pain points and risks?
- Are there ways that AI can benefits data privacy?
- What are consumer attitudes to data privacy – who do they trust most, what worries them, and how are they reacting?
Table of contents
Recommendations for consumer service providers
The consumer data explosion
The "datafication" of everything
Data is growing exponentially
The pivotal role of mobile
The IoT data floodgates are open
AI's impact on consumer services and devices is proliferating
AI brings new complexity to data privacy
New AI-powered scenarios and data insights beckon
But AI can be a force for good in the data privacy domain
The consumer view: concern and uncertainty
Attitudes and actions are not as contrary as they may seem
AI is adding a new dimension to consumer disquiet
Change is in the air: service providers beware
Privacy is caught in the digital economy crosshairs
Data privacy in the digital economy needs to be rebalanced
Data super platforms and AI hyper-scalers pile on the pressure
Data privacy legal regimes are a work in progress
GDPR is a solid reference point and framework for debate
GDPR and similar should be viewed as the start, not the finish
AI brings fresh challenges for data privacy regulations
Linking data dominance and data privacy to competition