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Building the Fastest and Safest Paths to Data

Today’s leading businesses succeed by reaching valuable insights, faster, from broader sets of data, to improve the quality of business decisions. They need to overcome any obstacles that delay access to data, but global compliance regulations and the risk of misusing sensitive data are increasingly difficult challenges to navigate.

Organisations need to manage privacy risk systematically to reduce friction in the data pipeline and enable ease of access to data whenever their users need it.

Collibra’s enterprise-wide, governed data catalog and data intelligence capabilities together with Privitar’s comprehensive de-identification and policy management enables data-driven enterprises to accelerate access to safe, usable data for diverse analytical use cases.

Join us on 29th October to learn how our streamlined integration of data intelligence and de-identification delivers the ability to connect data users with accurate, consistent and high-resolution de-identified datasets.

In this webinar you will learn:

- How enterprise-scale organisations can accelerate access to protected data and eliminate slow, manual processes
- Best practises to curate and protect your organisation’s data and expose more data to a wider range of approved users
- How to provide data users with data optimised for analytical utility but low in risk
Recorded Oct 29 2020 35 mins
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Presented by
Andrew Hinde & Cyril Amsellem, Privitar, & Martin Cerantonio, Collibra
Presentation preview: Building the Fastest and Safest Paths to Data
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  • Safe and Compliant Data Provisioning in a Data-Driven Enterprise Aug 4 2021 3:00 pm UTC 60 mins
    Mike Ferguson, Managing Director of Intelligent Business Strategies Limited
    Many companies today are now operating in a hybrid multi-cloud computing environment with data being captured and stored in the data centre, in multiple clouds and at the edge. This makes data difficult to find, integrate, analyze and govern. It also slows down people’s ability to get the data they need to drive value in a data driven enterprise. As a result, many are now trying to discover and catalogue what data they have and develop pipelines to produce trusted, reusable data products and publish them in a data marketplace to make available to all who need it across the enterprise.

    However, one major problem with this is that data provisioning is unsafe if data privacy is not governed to ensure an organization remains compliant with legislation.

    This session looks at this problem and discusses how to solve it so that companies can move forward use data with confidence knowing that privacy is never compromised:
    -The current state of the data landscape in aspirational data-driven enterprises
    -The growing importance the Enterprise Data Marketplace or Data Exchange
    -The intended process - shop for, order and provision data
    -Data Privacy - The gaping hole in data provisioning
    -Safe data provisioning requirements in a data driven enterprise
    -Stepping up to the challenge – Scalable Safe Data Provisioning
  • Data Self-Service avec Privitar et Alation Recorded: Jun 10 2021 60 mins
    Sébastien Cognet, Privitar et Sébastien Gelot, Alation
    L’économie du monde entier s’est lancée dans la transformation digitale. Le volume de données collectées augmente de manière plus ou moins contrôlée. La réputation des entreprises est alors en danger car les risques de non conformité aux réglementations comme RGPD ainsi que les risques de fuites de données deviennent très importants.

    Il est donc nécessaire de doter les systèmes d’information d’une nouvelle plateforme d’approvisionnement de données qui rend les données disponibles en libre-service aux consommateurs en toute sécurité et à grande échelle.

    De ce fait l’utilité des données est préservée et les professionnels de la data disposent d’un nouveau mode d’échange des données, accélérateur des projets d’innovation.

    La combinaison des technologies de Privitar et Alation rendent les données hautement accessibles pour que les entreprises puissent optimiser leur activité tout en préservant leur sécurité et en respectant la conformité.

    Rejoignez-nous lors de ce webinar le 10 Juin 2021 à 11:00.

    Lors de ce webinar Sébastien Cognet de Privitar et Sébastien Gelot de Alation vous expliqueront comment rendre un accès fluide et en libre-service pour bâtir un processus d’approvisionnement des données moderne.
  • Accélérer l’adoption de l’IA avec des données sécurisées: Privitar et Cloudera Recorded: Mar 31 2021 42 mins
    Olivier Meignan, Cloudera, Christian Raza et Sebastien Cognet, Privitar
    Les entreprises font face à des défis constants concernant l’accélération de l’adoption de
    leurs projets d’IA. Le paradigme des Big Data suppose que plus, c’est mieux : plus de
    données, collectées auprès de plus de sources signifie que nous pouvons faire de meilleures prédictions. Toutefois, les Data Scientists ont du mal à obtenir un accès rapide aux données sensibles en raison des préoccupations liées à la confidentialité des données.

    Au cours de ce webinaire, découvrez comment Privitar donne aux entreprises la possibilité de déployer plus rapidement l’utilisation de l’IA au sein de la société, grâce à un approvisionnement en données sécurisées ainsi qu’aux capacités de traitement puissantes et adaptables de Cloudera. Les entreprises peuvent utiliser toutes leurs données pour les analyses afin d’obtenir des informations opportunes et de prendre des décisions axées sur les données pour fournir de meilleurs produits, services et expériences client.

    Rejoignez-nous et assistez à la conférence animée par Olivier Meignan de Cloudera, et par Christian Raza et Sebastien Cognet de Privitar sur l’opportunité et les défis pour les entreprises qui cherchent à optimiser la valeur des données en libérant tout le potentiel de leurs données sensibles.
  • Improving Outcomes with Informatics Powered by Safe Data Recorded: Mar 18 2021 55 mins
    Sean Butler, Director of Product Marketing, Privitar and Ali Loveys, Managing Partner, BTblock Health Group
    Health organizations are working hard to safely leverage patient data across the care continuum to improve outcomes. Accessing this data in a safe manner is incredibly challenging and if the right process and technologies do not come together incredible value can be lost.

    In this session learn how leading healthcare organizations are:

    Accelerating informatics efforts with safe data
    Protecting personal information with leading privacy enhancing technologies
    Expanding the types of data available for use in analytics
  • Becoming a Data-Driven Bank with Privacy at the Core Recorded: Mar 1 2021 63 mins
    Nick Curcuru, Privitar & Hala ElGhawi, Standard Chartered Bank
    Leveraging sensitive data to deliver insights and product innovation is more important to running a profitable bank than ever before. This increased demand for sensitive data is creating a strain on existing processes as regulations continue to restrict how and for what data can be used.

    In this session learn how leading banks:
    Safely utilize sensitive data in analytics and machine learning applications
    Build Privacy into their data request workflows
    Expand the types of data available for analysis
  • Panel: Getting Smart About Artificial Intelligence – Ethical Use of Data & AI Recorded: Mar 1 2021 40 mins
    Nick Curcuru, VP, Privacy Ecosystem & Special Projects at Privitar
    Watch the panel which took place during CDAO UK 2021. The panel was hosted by Nick Curcuru,VP, Privacy Ecosystem & Special Projects at Privitar, and featured Sam Livingstone, Head of Data Science at Jupiter Asset Management and Subrata Bose, VP, Digital Diagnostic, Radiology R&D at Bayer. During the session they discussed the following and much more!

    - What does ‘ethical AI’ actually mean in practice and how can we achieve it?
    - Going beyond the buzzwords – where should we be applying AI, and where shouldn’t we?
    - Ensuring there is accountability and traceability for how AI is being used
    - Creating an overarching view of data to reduce any potential AI biases
  • Maximize Your Innovation with Data Privacy and Safe Analytics Recorded: Jan 28 2021 37 mins
    Michelle Dennedy, Privacy Leader & Co-author, The Privacy Engineer's Manifesto & Nick Curcuru, VP Privacy Ecosystem, Privitar
    To celebrate Data Privacy Day we are delighted to invite you to this in-depth fireside chat featuring renowned privacy leader Michelle Dennedy, co-author of the Privacy Engineer’s Manifesto and former senior data privacy leader at Cisco, McAfee/Intel Security, Oracle and Sun Microsystems.

    Michelle will draw on her experiences working on complex global data and privacy challenges at some of the world’s largest organizations, and you’ll leave the session with a better idea of the steps you should take to maximize the value of your organization’s data, while ensuring it’s being comprehensively protected.

    Topics for discussion include:

    - How to maximize the utility of your datasets while ensuring they’re properly safeguarded
    - How to ensure privacy is standardized across your organization’s data operations
    - How to ensure data privacy is seen as an enabler rather than a blocker within your organization
    - How to reduce your data provisioning time from months to hours

    Michelle is a data privacy leader at the very forefront of the industry and this session will be full of actionable insights to take back to your desk.

    We hope you can join us and help us to celebrate Data Privacy Day!
  • How NatWest is Using Data Privacy to Unlock Digital Innovation Recorded: Jan 28 2021 36 mins
    Zachery Anderson, CDAO, NatWest and Nick Curcuru, VP of Privacy Ecosystem & Special Projects, Privitar
    Explore the future of banking in this interview with NatWest's CDAO Zachery Anderson.

    In today’s digital age, data-driven innovation separates the leaders from the pack in an increasingly competitive financial services sector.

    However, to reap the rewards of digitalization, banks need to strike a delicate balance between implementing data-driven strategies and adhering to a complex regulatory environment landscape. Banking organizations can use data to spark innovation and supercharge growth while maintaining the trust of their customer base through comprehensive data and privacy protections.

    To discuss this topic in more depth, we’re pleased to invite you to an in-depth interview with Zachery Anderson, Chief Data & Analytics Officer at the NatWest Banking Group. Mr. Anderson will help us to examine the steps that you need to put in place to scale your analytics operations while ensuring that customer data is handled with the utmost respect.

    Watch this session to explore:

    - The systems and components needed to become a digital banking leader

    - How to navigate an ever-changing data protection landscape

    - How to ensure privacy is built into the core of data operations

    It's a fascinating discussion with a data leader at the forefront of the financial services industry.

    We hope you enjoy it!
  • Implémentez le "Privacy By Design" dans vos applications décisionnelles Recorded: Jan 26 2021 47 mins
    Sébastien Cognet, Senior Sales Engineer, Privitar, et Raphaël Brenet, Consultant - BI Architect, NRJBI
    La sécurité des données sensibles et la protection des données personnelles sont le point de départ d’une valorisation optimale de la richesse des données de l’entreprise.

    Cependant cette étape indispensable est souvent négligée car elle est assimilée à une contrainte réglementaire.

    Aujourd’hui, les entreprises ne peuvent plus se permettre le moindre écart sur l’utilisation des données personnelles car les conséquences peuvent être désastreuses pour la réputation de l’entreprise sans compter les amendes qui pourraient être infligées par le régulateur.

    Lors de ce webinaire, nous verrons pourquoi la réglementation est importante et comment en tirer parti pour construire des applications décisionnelles respectueuses des données personnelles qui conservent leurs potentiels analytiques.
  • How NatWest is Using Data Privacy to Unlock Digital Innovation Recorded: Dec 10 2020 36 mins
    Zachery Anderson, CDAO, NatWest and Nick Curcuru, VP of Privacy Ecosystem & Special Projects, Privitar
    Explore the future of banking in this interview with NatWest's CDAO Zachery Anderson.

    In today’s digital age, data-driven innovation separates the leaders from the pack in an increasingly competitive financial services sector.

    However, to reap the rewards of digitalization, banks need to strike a delicate balance between implementing data-driven strategies and adhering to a complex regulatory environment landscape. Banking organizations can use data to spark innovation and supercharge growth while maintaining the trust of their customer base through comprehensive data and privacy protections.

    To discuss this topic in more depth, we’re pleased to invite you to an in-depth interview with Zachery Anderson, Chief Data & Analytics Officer at the NatWest Banking Group. Mr. Anderson will help us to examine the steps that you need to put in place to scale your analytics operations while ensuring that customer data is handled with the utmost respect.

    Join this session to explore:

    - The systems and components needed to become a digital banking leader

    - How to navigate an ever-changing data protection landscape

    - How to ensure privacy is built into the core of data operations

    This is set to be a fascinating discussion with a data leader at the forefront of the financial services industry.

    We hope you can join us!
  • Digital Transformation: The Driver of Post-Pandemic Economic Recovery Recorded: Dec 3 2020 27 mins
    Ruby Zefo, Chief Privacy Officer, Uber & Edward Luce, US Financial Editor, Financial Times
    The amount of data generated globally has been growing at a furious pace, and it has only been compounded by COVID-19 and the shift to digital interactions. Businesses know that there’s tremendous value in using and exchanging data, and gathering information is fast, easy, and unexpectedly inexpensive. While the pandemic has undoubtedly caused significant business disruption, can the vast volume of data being collected help them to recover economically? In this session, we’ll explore how the winners of tomorrow’s business world will be those that embrace digital transformation. Join us to discuss:

    How important will it be for businesses to digitalise in the wake of COVID-driven economic uncertainty?

    Whether a global data privacy readiness program can improve business outcomes?

    What's next in the customer experience, and how can responsible use of sensitive data drive business innovation that works?
  • The Journey to Becoming a Data-Driven, Privacy-First Bank Recorded: Dec 3 2020 30 mins
    Marcel Kramer, Head of Data Engineering, ABN AMRO & Sean Butler, Director of Product Marketing, Privitar
    As financial institutions seek to leverage data for competitive advantage, there is a growing regulatory and reputational risk that calls for the protection of sensitive data. Much of the data held by these institutions is too sensitive to release for general use, since it contains financial and personal information related to customers. To make data available for analysis, it is essential to minimise identifiable information and limit access appropriately. To become data-driven as well, the bank must analyse and innovate rapidly.

    Join this session to learn:

    - What actionable steps can you take to harness data-driven innovation.
    - How you can build data privacy best practices into everything that your bank does.
    - How to build a technology stack that enables you to scale and grow your bank by maximising the safe use of sensitive data.
  • Datenschutz A-Z - Pertubierung: Manchmal ist weniger besser Recorded: Dec 1 2020 32 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Begleiten Sie unsere Datenschutz-Experten, die sich mit der Entmystifizierung einiger grundlegender, aber häufig falsch verstandener Elemente des Datenschutzes befassen. Zu jedem Thema geben wir einen kurzen Überblick, Beispiele für Anwendungsfälle aus der Praxis und wie Sie diese im Rahmen Ihrer Datenschutzbemühungen implementieren können. Darauf folgt eine kurze Fragerunde.

    In dieser Sitzung werden wir die Perturbierung untersuchen: Wann sollte sie verwendet werden? Was sind die Vor- und Nachteile für verschiedene Anwendungsfälle?
  • The Journey to Becoming a Data-Driven, Privacy-First Bank Recorded: Nov 25 2020 30 mins
    Sean Butler, Director of Product Marketing, Privitar, & Marcel Kramer, Head of Data Engineering, ABN Amro
    As financial institutions seek to leverage data for competitive advantage, there is a growing regulatory and reputational risk that calls for the protection of sensitive data. Much of the data held by these institutions is too sensitive to release for general use, since it contains financial and personal information related to customers. To make data available for analysis, it is essential to minimise identifiable information and limit access appropriately. To become data-driven as well, the bank must analyse and innovate rapidly.

    Join this session to learn:

    - What actionable steps can you take to harness data-driven innovation.
    - How you can build data privacy best practices into everything that your bank does.
    - How to build a technology stack that enables you to scale and grow your bank by maximising the safe use of sensitive data.
  • How Will Insurers Unlock The Full Potential of Big Data? Recorded: Nov 24 2020 60 mins
    Monique Hesseling, Managing Director of Insurance at Cloudera, and Steve Totman, Chief Product Officer at Privitar
    Leveraging data to know, understand and serve customers with lifestyle-based coverages and the right financial products for peace of mind is an area of great opportunity for insurance companies.

    Seen another way, insurers now feel pressure more than ever to provide growing data science functions and hungry analytics teams with access to an increasing number of datasets, at the right time.

    Insurers have long struggled to break silos, and data use is also increasingly impeded by the data privacy policies and procedures that organizations created to minimize financial and reputational risk. They are constantly balancing data’s dual status as an asset and liability.

    Join our fireside chat to hear Monique Hesseling, Cloudera’s Managing Director of Insurance, and Steve Totman, Chief Product Officer at Privitar, discuss the opportunity and the challenges in front of insurance companies that want to realize maximum value from their data.

    Monique and Steve will offer insights on how to meet the growing demand for data, democratize data access, and navigate data privacy obligations to open up new uses for data.
  • Digital Transformation: The Driver of Post-Pandemic Economic Recovery with Uber Recorded: Nov 11 2020 27 mins
    Jason du Preez, CEO, Privitar, Edward Luce, US Financial Editor, Financial Times, & Ruby Zefo, Chief Privacy Officer, Uber
    The amount of data generated globally has been growing at a furious pace, and it has only been compounded by COVID-19 and the shift to digital interactions. Businesses know that there’s tremendous value in using and exchanging data, and gathering information is fast, easy, and unexpectedly inexpensive. While the pandemic has undoubtedly caused significant business disruption, can the vast volume of data being collected help them to recover economically?

    In this session, we’ll explore how the winners of tomorrow’s business world will be those that embrace digital transformation. Join us to discuss:

    - How important will it be for businesses to digitalise in the wake of COVID-driven economic uncertainty?
    - Whether a global data privacy readiness program can improve business outcomes?
    - What's next in the customer experience, and how can responsible use of sensitive data drive business innovation that works?
  • Datenschutz A-Z: Tokenisierung Recorded: Nov 10 2020 35 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Begleiten Sie unsere Datenschutz-Experten, die sich mit der Entmystifizierung einiger grundlegender, aber häufig falsch verstandener Elemente des Datenschutzes befassen. Zu jedem Thema geben wir einen kurzen Überblick, Beispiele für Anwendungsfälle aus der Praxis und wie Sie diese im Rahmen Ihrer Datenschutzbemühungen implementieren können. Darauf folgt eine kurze Fragerunde.

    In dieser Sitzung werden wir die Tokenisierung untersuchen: Wann sollte sie verwendet werden? Was sind die Vor- und Nachteile für verschiedene Anwendungsfälle?
  • Privacy-by-Design for the Insurance Sector Recorded: Nov 3 2020 62 mins
    Privitar Privacy Engineer, Kish Galappatti and AON Insurance Data Protection Officer, Rodrigo Fronseca
    Insurance is a heavily regulated sector that deals with large amounts of sensitive customer information as a core component of the business. As the industry evolves, being driven by data analytics is key to gaining a competitive edge. Data democratization, of course, comes with privacy challenges.
    Watch as Privitar Privacy Engineer, Kish Galappatti and AON Insurance Data Protection Officer, Rodrigo Fronseca, discuss how to use data privacy to drive innovation by building automated data pipelines that are privacy-enabled, by design.
    You’ll learn how to:
    Enable your data science teams to quickly find, classify and access safe data that delivers analytical value while preserving the privacy of your customers
    Leverage modern analytical environments and techniques to generate insights based on AI/ML models·
    Automate the distribution and management of safe data sets within your organization to enable data analytics at scale
  • Safely Unleash the Value of your Data in the Cloud Recorded: Nov 3 2020 53 mins
    Tom Kennedy, Director of Cloud & Technology Partnerships, Olu Odeniyi, Cyber Security & Digital Transformation Advisor
    Organizations are leveraging the Cloud to maximise the value of data, consolidating it in data lakes and committing to analytics and machine learning initiatives to convert it into actionable insights.

    As analysts and data scientists have started working with these tools it has become clear that to provide accurate insights, they require rich datasets that frequently contain sensitive and personal information. Access to this data is often restricted as regulations and corporate policies make providing access more difficult, leaving its value unrealized Other traditional data protection approaches aren’t compatible with advanced analytics and machine learning, meaning many organisations aren’t getting maximum utility from their data.

    Register for this session to understand:

    - Why organisations are taking data privacy seriously as a business issue.
    - The best way to protect sensitive data in order to get maximum utility.
    - How this approach is a critical enabler for digital transformation and cloud strategies.
  • Datenschutz A-Z: Von Redaction bis De-Identifizierung Recorded: Nov 2 2020 40 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Technische Verfahren im Datenschutz

    Im Umfeld von COVID-19 rückt auch das Thema Datenschutz immer mehr in den Vordergrund. Die technischen Möglichkeiten zum Schutz der Privatsphäre sind vielfältig und dürfen nicht nur aus dem Blickwinkel der Datensicherheit (Security) betrachtet werden. Darum starten wir unsere Webinarserie "Datenschutz A-Z" mit einem Überblick über gängige Methoden, die wir in den nächsten Episoden im Detail betrachten.

    Erfahren Sie:

    - was es mit Tokens, K-Anonymity und L-Diversity auf sich hat
    - warum Datensicherheit (Security) nur ein Teil des Schutzes unserer Privatsphäre sein kann
    - und warum De-Identifizierung so viel mehr ist als bloße Anonymisierung
Leverage data with an uncompromising approach to privacy
The world is waking up to privacy risk and privacy harms. There is a clear realisation that unless we incorporate privacy into every aspect of the data supply chain we run the risk of impeding innovation and exposing customers to harm.

Privitar’s mission is to promote and facilitate the ethical and safe use of valuable data assets. Using leading privacy engineering techniques, we help companies get maximum value from data while preserving customer’s privacy.

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  • Title: Building the Fastest and Safest Paths to Data
  • Live at: Oct 29 2020 12:00 am
  • Presented by: Andrew Hinde & Cyril Amsellem, Privitar, & Martin Cerantonio, Collibra
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