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Learn how automotive manufacturers can take advantage of connected vehicle innovation, data management and analytical opportunities supporting these strategies – webinar from SAS and Bosch.
By 2030, market estimates from McKinsey & Company indicate the automotive revenue pool could grow by $1.5 trillion stemming from shared mobility, connectivity services and feature upgrades to vehicles. Driven by these potential gains, automotive companies are racing to find ways to define and claim their role with new business models.
Yet, what is possible for automotive companies to achieve now given the availability of accessible driver and vehicle information? How can innovation teams take advantage of near-term opportunities that propel both current and future projects enabled by connected vehicle, mobility and on-demand services? How can companies start “doing” work around these emerging opportunities?
During the webinar you will learn about:
•Business development opportunities tied to connected vehicle and mobility strategies that ultimately allow for data monetization.
•Technology that allows OEMs and other organizations to draw out complex vehicle data before using it for analytical initiatives.
•A framework that helps organizations leverage predictive analytics, streaming and real-time information to improve business outcomes as well as customer experiences
This unique 3-day training summit focuses on the intersection of technology and domestic violence, sexual assault, stalking, and trafficking. Covering a wide range of technology-related issues, this conference will be helpful to advocates, law enforcement, and legal professionals who work with survivors of abuse.
With the continuous proliferation of diverse Internet-based computing paradigms, large amounts of data containing privacy-sensitive information are being constantly published, collected, processed, and archived. This trend will be further fueled up by the new development of IoT (Internet of Things) technologies, smart cities, e-health, e-commerce, social and behavioral studies, social networking, edge computing, and cloud computing. As a result, fast-growing concerns about data privacy from academia as well as industry emerge in recent years, which motivate researchers and practitioners to think about questions such as how to guarantee that the collected or published data are not misused; how to ensure that data processing does not disclose any sensitive information; how to store the data securely for privacy protection; how to define new privacy policies that allow desirable services; and how to make sure that privacy policies issued by government and industry are not violated.
The IEEE Symposium on Privacy-Aware Computing (IEEE PAC) brings together experts from academia, government, and industry to present and discuss recent advances and new perspectives on related research and development in privacy-aware computing. We invite original theoretical contributions as well as system implementation/experimentation works on all topics related to “making computing privacy-aware” for privacy protection. Particularly, IEEE PAC solicits unpublished results in privacy threats and vulnerabilities of emerging applications for various computing platforms (mobile, IoT, cloud, social network, etc.), privacy-aware algorithms for big data analytics and networking, novel methodologies for privacy-protection (modern cryptography, game theory, etc.), policies for privacy-aware computing, etc.
Important Dates
- Submission Deadline: 04/22/2017(extended)
- Notification: 06/09/2017
- Camera-Ready Submission Date: 07/01/2017
The GDPR Practitioner Certificate (GDPR.Cert) is the qualification for those undertaking the role of Data Protection Officer under the new General Data Protection Regulation (GDPR). The course takes place over four days (one day per week) and involves lectures, discussion and practical exercises. This is followed by a written assessment on day 5. Candidates are then required to complete a project (in their own time) to achieve the certificate. |
Consent is one of the legal grounds for processing personal data under the GDPR. This webinar will address transparency and consent for the use of digital tracking and profiling technologies as well as how to effectively manage and demonstrate compliance with consent requirements for your organisation-wide personal data processing. Two expert organisations that support the Privacy Office/DPO managing consent will speak to:
Digital Technologies Consent Management Demonstrable Compliance of GDPR Consent Requirements This webinar will also cover: Digital Technologies Consent Management – Getting Started Demonstrable Compliance – Getting Started Registration Link: https://register.gotowebinar.com/register/1853222833298810625 |
From August 7-11, 2017, secUnity invites you to its second summer school at Technische Universität Darmstadt. This event is organized by the Chair for Software Business and Information Management (http://www.is.tu-darmstadt.de) and will focus on research topics related to economic and interdisciplinary approaches to IT security and privacy.
The secUnity International Summer School on Economics of IT Security and Privacy provides an opportunity to advanced Bachelor, Master and PhD students as well as young scholars to learn more about IT security and privacy in general as well as in relation to business models and legal aspects. The event will be a mix of lectures and hands-on exercises, allowing the students to learn how to design a business model in the context of IT security and privacy which will be reviewed at the end of the event. Furthermore, we offer a multifaceted program covering theoretical and practical aspects in the lectures.
Topics covered during the summer school include (among others):
• Introduction to IT Security and Privacy
• IT Security Management
• Ethical Hacking and National Security
• IT Security Research
• Entrepreneurship and E-Business
• Legal Aspects of IT Security and Privacy
The registration fee for the summer school is free for students and 500 Euro for industry participants. This fee includes daily refreshments, lunch, and social events.
*** scholarships for accommodation and travel for international participants available ***
This workshop aims to bring together a growing community of researchers, practitioners, and policymakers concerned with fairness, accountability, and transparency in machine learning. The past few years have seen growing recognition that machine learning raises novel ethical, policy, and legal challenges. In particular, policymakers, regulators, and advocates have expressed fears about the potentially discriminatory impact of machine learning and data-driven systems, with many calling for further technical research into the dangers of inadvertently encoding bias into automated decisions. At the same time, there is increasing alarm that the complexity of machine learning and opaqueness of data mining processes may reduce the justification for consequential decisions to “the algorithm made me do it” or “this is what the model says.” The goal of this workshop is to provide researchers with a venue to explore how to characterize and address these issues with computationally rigorous methods. We seek contributions that attempt to measure and mitigate bias in machine learning, to audit and evaluate machine learning models, and to render such models more interpretable and their decisions more explainable.
This year, the workshop is co-located with the 23rd SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017). The workshop will consist of a mix of invited talks, invited panels, and contributed talks. We welcome paper submissions that address any issue of fairness, accountability, and transparency related to machine learning. This year, we place a special emphasis on papers describing how to bring tools for ensuring fairness, accountability, or transparency into real world applications of machine learning. We especially welcome submissions from practitioners in industry, government, and civil society.
Nymity has conducted extensive empirical research with organizations that are taking an accountability approach to GDPR compliance. Learn what organisations have implemented and what is planned for GDPR compliance. Gain a more granular understanding of what policies, procedures and other accountability mechanisms are being implemented to comply with the GDPR. Learn how organisations are repurposing existing policies, procedures, codes of conduct and other accountability mechanisms that have been in place to govern the business, and how they turn them into GDPR accountability mechanisms.
You will learn:
1. Organisational priorities for GDPR compliance
2. How different sizes of organisations and different industries compare in the GDPR compliance efforts
3. How Nymity Templates™ can help you operationalise ongoing compliance with over 900 practical resources that can help generate evidence for reviews and audits
Registration Link: https://register.gotowebinar.com/register/4495005127705161729
SmartPrivacy is a practitioner-focused, half day local workshop where privacy professionals can learn from each other about tools and best practices to operationalize their privacy programs.
The workshop is hosted by OneTrust, however, is open to any privacy professional regardless of tool or template of choice. Attendees can expect to receive 4.5 CPE credit hours, the ultimate PIA/DPIA, Data Inventory & Mapping, and Data Subject Rights Handbooks, access to free software tools, how-to guides, and best practices documents on the topics covered. Workshop Agenda: |