Chris Wylie: Inside the Facebook & Cambridge Analytica story

Surveillance capitalism is the foundation of a new economic order. Firms compete on the manufacture of "prediction products" traded in lucrative new "behavioral futures markets."

Surveillance capitalism's proprietary digital architectures -- what Shoshana Zuboff calls "Big Other" -- are designed to capture and control human behavior for competitive advantage in these new markets, as the production of goods and services is subordinated to a new "means of behavioral modification" that favors private market outcomes free of democratic oversight or control.

Acclaimed scholar and author Shoshana Zuboff, Ph.D., Harvard Business School professor emerita, speaks on this topic as she helps audiences and groups understand and conceptualize the transition to an information civilization.

- In:Confidence 2019 -

It's been a bumper year for GDPR as organisations around the world adapted to accommodate the regulatory changes.

Vivienne Artz, CPO at Refinitiv set out to answer the following questions:

- Is GDPR done and dusted?

- What are the new privacy challenges facing firms?

- Is GDPR the benchmark for privacy compliance globally?

This year has seen an eruption of new data protection bills and laws, as many countries follow Europe's lead in enacting their first, or stronger, data protection laws. For many global organisations a fracturing of data protection law poses a costly compliance burden and many would like to enforce one standard across their operations. But to what extent are these countries responses similar? Is there a new global standard, and if so is it the GDPR? To what extent do these changes overlap, and what trends not seen in the GDPR are emerging too?

This talk will explore how the world of data protection has changed since the GDPR was passed last year. In particular it will look at how the US policy landscape is changing and the extent to which GDPR concepts are coming through. The US is undergoing enormous change, with the CCPA coming into effect next year, various proposed federal bills, amendments to sector bills, and 16 state level bills all being debated. The talk will highlight some similarities between these various bills and amendments, as well as some of the areas of divergence. It will also draw on other changes, such as the emergence of data localisation laws in China, Indonesia, and India, and some of the laws closer to the GDPR such as Brazil.

The world is waking up to the fact that you need both strong security systems in place and privacy technology to ensure comprehensive data protection.

To achieve this goal, CTOs, DPOs and CISOs have to work in unison. There is no privacy without security. But security alone is not enough to protect your customer’s sensitive data. Strong privacy protection helps to unlock data for new purposes and makes the job of the security team a lot easier.

Find out how the two work hand in hand with Privitar’s Senior Privacy Engineer Lee Bonham.

Join this session to learn:

- How robust security controls are not enough to protect your data fully

- How the focus is shifting from the perimeter to implementing privacy controls on the data itself

- How privacy technologies and access controls work hand-in-hand to ensure your data is protected

Privitar's Privacy Pulse 2019 presents the latest from our annual survey of consumer and business attitudes to data privacy. Covering the US, UK and France, this research will help you to get a comprehensive view of how your customers think about privacy – and what holds your peers back from using their data to the full.

Watch Alexandra Mitchell, our Business Intelligence Lead, talk about the survey and why it matters and download the attached survey results.

(Data Privacy Day 2019)

Data is changing the world. We are faced with incredible opportunities to use data for good, but it has to be done in the right way, with respect for the customer.

The risks of not protecting customer privacy are significant. Get data privacy wrong and your customers will quickly turn on you and you will face significant regulatory fines.

This session will focus on how to innovate with data in the age of privacy,
Tune in live for the following insights:

- The risks of not protecting data privacy

- How privacy can be an enabler for data-driven decision making

- Steps to improve your data privacy stance

Jason will also explore the results of the Privitar Privacy Pulse 2018 - an extensive survey of business and consumer attitudes towards data privacy.

(Data Privacy Day 2019)

Every industry is undergoing a data driven revolution. The use of data is making companies innovate faster, make better informed business decisions, find efficiencies, and understand what their users want and how to deliver it for them.

Often the data used is sensitive and personal, so a by-product of this greater use of data has been a growth in the risk to individuals’ privacy. Individuals and regulators are increasingly concerned and have started demanding better protection of individuals’ data. De-identifying data can reduce the privacy risk associated with processing it, whilst preserving much of the data’s utility, but effectively doing so can be a complex process and one of uncertainty for many organisations.

This interactive session will explore some of the key considerations and best practices organisations should employ when looking to de-identify personal data.

By attending this session, you’ll learn:

-The key terms and concepts within data de-identification

-Why it’s advisable to de-identify data

-Key techniques to apply

-How to manage de-identified data

- Privitar Privacy Pulse 2018 -

Privacy matters to your customers. 9 out of 10 consumers believe that technological advancements pose a risk to their data privacy – but 64% of businesses believe that they could miss out on a competitive edge by not making the most of their data. How can you reconcile the two?

This session will unveil the results of a wide-ranging data privacy survey, during which we asked 5,000 consumers and 1,500 B2B leaders across the UK, US and France for their thoughts on data privacy and data protection. The webinar will feature experts from industry, policy and academia discussing the issues raised by the results, and their implications for your business.

Gain a deeper understanding of consumer and corporate attitudes to privacy and enjoy our expert’s view on the implications for business as we discuss:

- The missed opportunity of data utilisation

- Erosion of trust through misuse of data

- Demand for business prioritisation of data protection

- Communicating the value exchange

This will also be the chance to ask a panel of industry-leading professionals your data privacy questions, so please do register now to join the conversation. The key learnings from the report will also be available as a ready-to-download attachment for you to access and share.

Speakers include:

- Nikki Stones, Head of Marketing, Privitar

- Jeni Tennison, CEO, The Open Data Institute

- Louise Turner, Managing Director, Edelman Intelligence UK & Ireland

- Alexandra Deschamps-Sonsino, Author, Smarter Homes: How Technology will Change Your Home Life

There is significant digital transformation going on across the healthcare sector, driven by exciting new technological developments including machine learning and advanced analytics.

Healthcare providers are looking to use data science to dramatically improve clinical outcomes and create operational efficiencies across the healthcare system, however making data available for this purpose is challenging given the sensitive nature of the information.

Join this session to understand:

- The significant value of healthcare data and ways it can be put to effective use.

- The challenges involved with handling sensitive patient data

- The mechanisms can you put in place to protect sensitive patient data and unlock its value.

Join this interactive session to understand how healthcare data can be used and the privacy controls that you need to put in place to ensure it's sufficiently protected.

Featuring:

- Sam Shah, Director for Digital Development, NHS England
- Des Shanahan, Senior Account Director, Privitar

Sensitive information about individuals can be recovered from different types of data releases, including aggregate statistics or machine learning models. This session will address the privacy risks in publishing analysis results and introduce data privacy techniques to defend against them.

Theresa Stadler, Data Scientist at Privitar, will explain differencing and reconstruction attacks on simple summary statistics such as count tables, along with discussing the privacy risks of supervised machine learning.

Some of the takeaways of the session include:

- Reasons to be concerned about the privacy of training data

- The attacks on machine learning models that can occur and what private information about individuals in the training data can be recovered

- A simple example of a black-box privacy attack on a classifier, a common machine learning model


- An introduction to the differential privacy framework that functions as a privacy-enhancing technology to defend against the attacks introduced

Many organisations are stripping themselves of the power to put their own data to use, thanks to legacy systems, complicated internal processes and privacy concerns.

This interactive panel session will cover how to unlock the value of your sensitive data, to ensure that it's being used effectively and efficiently across the enterprise.

Panelists:

- Barry Green, Former Bank of Ireland & HSBC CDO
- Olivier Penel, EMEA Data Management Business Director
- Mark Semenenko, Sales Engineering, Privitar

Comment renforcer la confidentialité des données dans un contexte de risque et de nouvelles obligations?

Privitar est une plateforme logicielle centrale de gouvernance de la confidentialité des données permettant non seulement de répondre à certains enjeux de la GDPR mais également d’avoir une approche fonctionnelle de “Privacy by Design” sur des cas d’usage précis. La plateforme Publisher vous permet de livrer à la demande ou en streaming des jeux de données anonymisées par des techniques de masquage, de perturbation ou de généralisation tout en conservant l’intégrité de vos données sensibles. Il est également possible d’insérer des filigranes invisibles afin d’auditer l’origine d’une donnée en cas de fuite de fichier et ainsi de protéger votre e-réputation. Ce webinar soulignera en premier lieu les obligations du contexte GDPR pour ensuite se concentrer sur l’illustration concrète de deux clients. Il s’achèvera par une démonstration de la solution. Il est important de noter que nos solutions s’insèrent dans vos environnements Big Data et facilitent ainsi le développement de processus analytiques sans compromettre la valeur des données et en respectant la confidentialité due à vos clients et utilisateurs.

Les speakers:

Carine Lecadre Perrier | Head of Compliance @Partech
Sébastien Cognet | Responsable Avant-Vente Europe du Sud @Privitar
Leonardo L’ecaros | Responsable Commercial Europe du Sud @Privitar

This webinar is part of BrightTALK's Privacy Insights Series.

Join privacy and cyber security experts for an interactive discussion on:
- What is Privacy and why should you care
- Why all of a sudden everyone cares about Privacy
- User/Customer expectations and reality
- Data breaches prevention and notification
- Crafting your Privacy Policy
- Best recommendations for organizations

Speakers:
- Elena Elkina, Partner at Aleada Consulting
- Bret Fund, CEO of SecureSet
- Dr. Pierre-Andre Maugis, Data Scientist, Privitar

Audience members are encouraged to send questions to the speakers to be answered during the live session.

Sensitive information about individuals can be recovered from different types of data releases, including aggregate statistics or machine learning models. This session will address the privacy risks in publishing analysis results and introduce data privacy techniques to defend against them.

Theresa Stadler, Data Scientist at Privitar, will explain differencing and reconstruction attacks on simple summary statistics such as count tables, along with discussing the privacy risks of supervised machine learning.

Some of the takeaways of the session include:

- Reasons to be concerned about the privacy of training data

- The attacks on machine learning models that can occur and what private information about individuals in the training data can be recovered

- A simple example of a black-box privacy attack on a classifier, a common machine learning model


- An introduction to the differential privacy framework that functions as a privacy-enhancing technology to defend against the attacks introduced

This panel, from In:Confidence 2018, hosted by Privitar's Rob Anderson discusses the relationship between privacy and security, and how the two disciplines need to work together to achieve success.

- Rob Anderson (Chair), Head of Field Operations, Privitar
- Ellis Parry, Global Lead for Data Privacy, BP
- Jonathan Vowles, Data Security, HSBC
- Sanjeev Shukla, Managing Director, Accenture Security

The words privacy and security are often used interchangeably - as both seek to protect information - but they are unique and complimentary disciplines, which each need respective levels of focus. The session looked to define the relationship between the two and how they need to align and work hand in hand.

Security protects data against unauthorised access; privacy protects sensitive data in use within an organisation. Security is quite mature; privacy is an emerging discipline. Security is a technical field that has grown over several decades. Recognised security standards exist, and are maintained by an active community, with vetted security protocols in use everywhere. This is not yet the case for privacy. But if FB/ CA has taught us anything, it's that you definitely do need both.

It was a fascinating discussion, from an industry-leading selection of speakers. Make sure to tune in and catch the session on-demand.

This session is taken from In:Confidence 2018, where Olivier Penel debated whether privacy will one day kill innovation.

On one side, the dramatic breakthrough and widespread adoption of Artificial Intelligence (AI) technologies create many opportunities for companies to innovate and to create value with data.

On the other side, increased privacy concerns and regulations bring new standards and rules in the way personal data should be used.

His insightful session covered questions such as:

- What will be the impact of the GDPR on data-driven innovative projects?

- How can organisations use GDPR as a catalyst to accelerate their digital transformation journey and boost innovation?

GDPR has now come into effect, but how will it affect innovation moving forwards? Tune in to find out.

This panel, from In:Confidence 2018, hosted by The Exponential View's Azeem Azar discusses considerations for privacy as the world of AI rapidly grows and develops.

Panelists:

- Azeem Azhar (chair), The Exponential View & Accenture
- Andrea Mestriner, Head of Analytics and Data Visualisation, Just Eat
- Jeni Tennison, CEO, The Open Data Institute
- Sherif Elsayed-Ali, Director of Global Issues and Research, Amnesty International

The panelists looked to explore several key themes including the rise of AI; what it means for the consumer; considerations for data privacy and upcoming risks and opportunities for growth.

It's an engaging debate, from an industry-leading selection of speakers. Make sure to explore the content.