Search results “Regulation big data”
Big Data Impact of General Data Protection Regulation
► DATA ENGINEER RESOURCE - Site devoted to "BUILDING STRONGER DATA ENGINEERS" ◄ https://thomashenson.com ► ASK BIG DATA BIG QUESTION - Submit questions to be answered on Big Data Big Questions ◄ https://www.thomashenson.com/big-questions/ ► BIG DATA BEARD PODCAST - Subscribe to learn what's going on in the Big Data Community ◄ https://bigdatabeard.com/subscribe-to-podcast/ GDPR EU agreement on how data is protected and stored. Data Engineers need to understand the basics of the General Data Protection Regulation. Data Engineers are at the forefront of collecting and protecting data in the Enterprise. The GDPR has some regulations that allow for users opt out of data collection or even request their data to be deleted. How will Data Engineers help comply with these regulations. Find out about how GDPR impacts Big Data. ► CONNECT ON TWITTER ◄ https://twitter.com/henson_tm
Views: 164 Thomas Henson
GDPR: Big Data, Big Responsibility
The EU’s General Data Protection Regulation (GDPR) went into effect on May 25. With it comes big responsibilities for organizations. Jeff Jonas, data scientist and Privacy by Design (PbD) advocate, will do a deep dive into this new law and its ramifications to the data management community, including some “gotchas” that will likely cause even the best GDPR programs to unwittingly fall out of compliance. https://www.ischool.berkeley.edu/events/2018/gdpr-big-data-big-responsibility
The Intersection of Big Data and Insurance Regulation
A look at big data – the collection, storage and use of diverse amounts of information by insurance companies – and the regulatory issues it poses.
Data Privacy  New Regulation and Implications for Big Data Approaches
During this webinar, organised by the [email protected] consortium on 29 October 2018, Menno Mostert, Assistant Professor Health Law at UMCU, explained the General Data Protection Regulation (GDPR) and data privacy in Big Data Health research, more specifically on the reserarch exemptions in the GPRD. Natacha Udo-Beauvisage, Global Data Protection Officer from Servier Monde, gave the view from the pharmaceutical industry on the new regulation and implications for Big Data Approaches. Finally, Evert-Ben Van Veen, Partner and Senior Consultant at Medlaw, elaborated on a basic model for datasharing in [email protected] The presentations were followed by a Q&A with questions from the audience, where Shona Kalkman, Assistant Professor Biomedical Research Ethics from UMCU, joined the panel to give the project’s view on Governance of datasharing within [email protected]
Views: 149 [email protected]
"Big Data" : création de valeur, enjeux et stratégies de régulation
Dans le cadre du cycle de débats mensuels "Mutations technologiques, mutations sociales", la deuxième rencontre "Big Data : création de valeur, enjeux et stratégies de régulation" a eu lieu de 12 novembre 2015. http://www.strategie.gouv.fr/actualites/big-data-creation-de-enjeux-strategies-de-regulation
Views: 667 France Stratégie
CPDP 2016: Data protection and Big Data: what about regulating Big Data analytics?
Data protection and Big Data: what about regulating Big Data analytics? Organized by WRR and CPDP Chair: Rosamunde van Brakel, VUB-LSTS (BE) Moderator: Dennis Broeders, WRR (NL) Panel: Babak Akhgar, CENTRIC/ Sheffield Hallam University (UK), Daniel Drewer, Europol (EU), David Lyon, Queens University (CA), Helge Veum, Norwegian DPA (NO) Current discussions about Big Data have predominantly revolved around questions as to whether the current legislative focus on data collection is still valid and whether we should move towards regulation of the use of the data. However, in these discussions, little attention has been paid to questions concerning the processes of big data analytics themselves and whether these could and should be regulated. Is it possible and advisable to regulate the heart of big data processes, such as the algorithms and profiles that usually operate ‘under the bonnet’? This is especially relevant in the field of law enforcement and security, where the consequences of big data analytics for citizens may be severe and where transparency about methods of operation is traditionally limited. The main goal of this panel is thus to begin a discussion about regulating analytics including about (indirect) transparency and oversight and the nature of possible safeguards. In particular, the panel will consider the following questions: - Is it useful to separate out the phase of big data analytics – data selection, algotithms etc. – from the phase of data collection and the use of data? - Should big data analytics be regulated, and how? - What is the impact of big data analysis on law enforcement, surveillance and the provision of security? - To what extent are big data analytics ‘covered’ by existing regulation, oversight and audit mechanisms?
Views: 338 CPDPConferences
Big Data in the Insurance Industry – From Invisible to Invaluable
Whether it’s through claims, underwriting, marketing or other activities, your insurance company generates massive amounts of data every day. If handled right, your data can reveal important facts, trends and patterns that can provide invaluable insights into your organization. Join BKD for this complimentary webinar exploring how you can use big data to help enhance marketing strategies, develop competitive advantages, open up new revenue opportunities, reduce fraud and reputational risk and improve operational efficiency, transforming your data from invisible to invaluable. Upon completion of this webinar, participants will be able to: *Describe the role of data analytics in the insurance industry *Identify specific data analytics applications for various stakeholders in the insurance industry *Discuss a framework for implementing data analytics solutions in their organization Sign up to receive more industry insights straight to your inbox: https://bit.ly/2rQYrsi Find us online! Twitter: https://bit.ly/2QY6rTV LinkedIn: https://bit.ly/2DwGGYp Facebook: https://bit.ly/2Igq2e3 Glassdoor: https://bit.ly/2QVdzR0
Views: 5321 BKD CPAs & Advisors
Profile: FiscalNote applies big data analytics to legislation and regulation
Washington D.C. based startup FiscalNote wants to help lawyers, lobbyists, and public servants gain insight into legislation and regulation through big data analytics. Diane Cho met with CEO Tim Hwang for Government Matters.
Views: 2352 ABC7 WJLA
Session 2: Big Data Meets Medicines Regulation: Which Data and When? - Setting the scene
Luca Pani, Italian Medicines Agency - Biomedical Discovery through Data Mining and Data Science Nicolas Tatonetti, University of Columbia Session 2: Big Data Meets Medicines Regulation: Which Data and When? - Enabling Precision Medicine and the Transformation of Healthcare Systems: Thoughts on Data and Technology Strategies Brian Kelly, Association of Clinical Research Organizations (ACRO) - Integrating Pharmacogenomics into Decision Making Munir Pirmohamed, University of Liverpool - Identifying the Future Needs for Big Data in Medicines Regulation Hans Hillege, EMA Committee for Medicinal Products for Human Use - The Future: partly FAIR, partly Cloudy Barend Mons, European Science Cloud, Leiden University - Big Data: Current and Future Initiatives of the European Commission Roger Lim, European Commission DG SANTE - Leveraging Big Data for Better Health Outcomes: The Need for a Collaborative Space and Common Solutions Richard Bergstrom, European Federation of Pharmaceutical Industries and Associations (EFPIA)
Views: 138 emainfo
The Future of Your Personal Data - Privacy vs Monetization | Stuart Lacey | TEDxBermuda
Big data is big business and as value is created from customer insight - but, where is the moral line? What happens when companies cross that line? What if consumers could flip the equation to offer their data directly to the companies they trust? The future could be customer monetized data. Investor and entrepreneur. Futurist, and established thought leader on Personal Data and Privacy. Published in Forbes, American Banker, FinExtra and Startup Collective; named by Bank Innovation as one of the 2015 Innovators to Watch - CEO’s who are Changing the Future of Banking. A multiple award-winning Member of the Young Presidents Organization; the Young Entrepreneur’s Council and The Institute of Directors; as well as a graduate of McGill University and the inventor of a number of industry defining patents all relating to the creation, sharing and monetization of customer data. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 67210 TEDx Talks
Big Data Challenges and Solutions: Centre for Genomic Regulation
Speaker(s): Arcadi Navarro , Universitat Pompeu Fabra , Barcelona, Spain
Data Protection or Big Data can they coexist?
Taylor Wessing partners discuss the symbiotic relationship between the seemingly conflicting interests of data protection and big data.
Views: 351 Taylor Wessing LLP
SESSION 1 - Social, Cultural & Ethical Dimensions of "Big Data"
On March 17, 2014, the Data & Society Research Institute, the White House Office of Science and Technology Policy, and New York University's Information Law Institute co-hosted an event entitled "The Social, Cultural, & Ethical Dimensions of 'Big Data.'" The first session began with comments from danah boyd (Data & Society Research Institute; Microsoft Research). John Podesta (White House) opened the morning with remarks and a discussion [11:07], which was followed by short talks from: * Tim Hwang, "On Cognitive Security" [48:56]; * Nick Grossman, "Regulation 2.0" [54:34]; * Nuala O'Connor, "The Digital Self & Technology in Daily Life" [1:02:48]; * Alex Howard, "Data Journalism in the Second Machine Age" [1:07:55]; * Mark Latonero, "Big Data and Human Trafficking" [1:14:40]; * Corrine Yu, "Civil Rights Principles for the Era of Big Data" [1:20:43]; and * Natasha Schüll, "Tracking for Profit; Tracking for Protection" [1:27:04]. More information: http://www.datasociety.net/initiatives/2014-0317/
BIG DATA Virtual Jurisdiction in Indonesia: Legislation & Regulation
From Legal Justice and Social Justice to VIRTUAL JUSTICE We have now entered the final evolution of human being, from Homo Erectus to Homo Informaticus (DerSpiegel5 / 2006). Humans who had just stood upright, became a man who every wake up on the morning instantly check and status updates on social media digital. From human being transform to digital being. People are shocked if not giddy in the Digital Information Age, especially with the widespread users of gadgets (smartphones) and easy access to fast internet access. All of that has real implications on the philosophical, historical, humanist, sociological, psychological, and economic characters. It even leads to illegal acts such as fraud, hoax, bullying, kidnapping and rape, as well as terrorism and radicalism. Big Data has massive character and escalative because of the simple and velocity of access to information technology or internet media. With just one touch it can spread the data widely and change in various formats in a short of time. Government of Indonesia was firmly encourage and protect the use of digital media to stay safe and comfortable surfing in the virtual world, through legislation instruments that Indonesian Cyber Law namely Law Number 11 Year 2008 on Information and Electronic Transactions (UU ITE 2008) and Law Number 19 Year 2016 on Amendment to Law Number 11 Year 2008 on Information and Electronic Transactions (UU ITE 2016). Revision of the UU ITE 2016 above as evidence of the support from the House of Representatives to the Indonesia’s Government to exercise the rule of law and governance of virtual jurisdictions. The government is obliged to protect all Indonesian people in the virtual world or cyberspace. The state still has virtual jurisdiction that can not be undermined and no one can commit a crime without being punished by law. Virtual Justice establish by legal justice and social justice platforms. Dr. DANRIVANTO BUDHIJANTO All intellectuals property or any others rights in the video reserved by prevailing law
Making Big Data Usable in Market Regulation - Strata+Hadoop 2015
FINRA Senior Director Scott Donaldson discusses three scenarios where FINRA leverages Hadoop big data solutions in the AWS cloud to create a dialogue between analysts and data.
Views: 385 FINRA Technology
"Big Data: big power shifts?": Panel discussion on education and Big Data
In the fourth and final event of the series "Big data: big power shifts?" we turned towards education: data-based education offers individualised learning opportunities to schools and higher education institutions, allowing for more effective learning, fewer drop-outs and wider access to high quality education. But what if highly sensitive educational data falls into the wrong hands? How can student data best be protected and how is the current European legal framework performing? FROM ALMA MATER TO ALGO MATER 22 June 2016 | 7 – 8.30 pm | Doors open 6.30 pm Leibniz-Saal der Berlin-Brandenburgische Akademie der Wissenschaften Jägerstraße 22/23, Eingang Markgrafenstraße, 10117 Berlin Panelists: Jessica White, academic consultant at McGraw-Hill Education, who will present specific examples of how (small and big) digital data can be used for individualised learning opportunities. McGraw-Hill Education is a learning science and publishing company that works with schools and higher education institutions across the world, including in Germany. Yoni Har Carmel, researcher at the Haifa Center for Law and Technology, who will share his views on the opportunities and risks of big data in education and highlight how regulation can shape a proper use of big data in educational contexts. He is author of the research paper ‘Regulating »big data education” in Europe: lessons learned from the US’, which is a part of the Internet Policy Review Special Issue ‘Big data: big power shifts?’ that accompanied this lecture series. More: http://www.hiig.de/en/events/from-alma-mater-to-algo-mater/
Views: 335 VodafoneInstitute
Big data: better regulation? | Dr Richard Judge
Big data: better regulation? Dr. Richard Judge Chief Executive, Health & Safety Executive (HSE)
MRV opens the door to big data
As another deadline for another piece of environmental regulation looms, Paul Fanning looks at one of its potential upsides
Ethics and trust in a digital age: Big data and analytics
Analytics has shifted the emphasis from viewing data as a hygiene factor to an asset that can be leveraged. Nonetheless, regulation on data collection and analytics is increasing, with significant financial penalties for non-compliance. Careful oversight is required to ensure that regulations are understood, and properly addressed, and that those responsible have a suitable degree of oversight and visibility. Download report - Ethics and trust in a digital age: https://goo.gl/qrGfHR
Views: 2215 ACCA
Simplifying risk and Big Data in banking
Peyman Mestchian, the Managing Partner at Chartis talks to Falk Rieker, the Global head of Banking at SAP about how SAP can help simplify the way banks deal with the big topics they are facing when it comes to risk management, especially with regards to regulatory calculations.
Views: 586 SAP Industries
Fintech Finance Season 3 Episode 08: Using Big Data
In this episode we look at how to really use Big Data. For this, and to tie into Sibos, we speak with Marc Braet from INTIX, to hear about how they are able to use proven analytics that can help banks by utilising the vast amount of information they hold on their customers. Over in Sweden, Douglas Mackenzie speaks with Paula Da Silva from SEB, about customer databases, and how make data usage more efficient, and in Ireland, KBC Ireland talks about customer expectations, and how to use data and analytics in order to achieve consistency when it comes to the customer experience; while maintaining privacy. Lastly we speak with Uldis Cerps from Finansinspektionen in Sweden, about the regulation surround Big Data.
Views: 21327 Fintech Finance
GDPR explained: How the new data protection act could change your life
The General Data Protection Regulation, known as GDPR, is set to reform data protection in the UK and the EU, and even across the world. It aims to prevent huge data breaches and leaks - like what happened with the Facebook data scandal. (Click to subscribe for more Channel 4 News videos. https://www.youtube.com/channel4news?sub_confirmation=1) So what is GDPR and how will the 2018 data protection act affect you? This is the General Data Protection Act explained.
Views: 64402 Channel 4 News
Data Dimensions: Big data & analytics for Financial Services
http://www.capgemini.com/big-data-analytics Data Dimensions features leading Capgemini experts each adding their own dimension to the discussion around big data. Perspectives include defining big data, good governance in a big data world, finding the value behind the big data hype, and what building blocks organizations will need to set in place to make it work for them. It looks at the people aspects, the skills you need the move towards data driven decision making, digital transformation and the impact on the customer experience. Big data typically is very specific to industry so although there are common technologies and some common information sets ultimately each industry sector has many different new data sources and different business issues. Therefore a key part of this series is looking at how big data is affecting sectors and the associated opportunities it presents. Vaibhav Shringarpure talks about the relevance of big data and analytics in the Financial Services industry. Big data provides a key role both in addressing the need for greater client intimacy and in the detection of fraud and error. He explains how Capgemini has been developing solutions around sentiment analysis and next-best-action and how these can give you the edge you need to make informed business decisions and aid customer retention. He also addresses how big data is becoming more important in delivering regulatory compliance.
Views: 4778 Capgemini
Reconciling big data analytics contracts with digital platforms’ regulation.- Serge Girath
Conference on Competition, Digital Platforms and Big Data (27-29th June 2018) Speaker: Serge Gijrath, Endowed professor of technology and telecommunications law Leiden University. Presentation: Reconciling big data analytics contracts with digital platforms’ regulation.
Big Data and Data Protection Regulations
Talal Rajab is the Programme Manager for techUK's Cyber, National Security and Criminal Justice programmes. In this video he shares his thoughts and insight on the current and future cyber security threats facing businesses. Talal will be speaking at Security & Counter Terror Expo's Cyber Threat Intelligence Conference. You can register as a free attendee at www.counterterrorexpo.com/register
The Challenges of Big Data and Regulatory Compliance
Have data? Can use it? While the cost of managing and using “big data” has dropped tremendously with technical innovation and proliferation of sophisticated on-demand cloud based computing, the costs of regulatory and policy management have not. We’ll explore the practical challenges posed by data regulations on data storage, transmission, automated decision making, and user disclosure. Filmed at the 2017 K(NO)W Identity Conference - Washington, D.C. Panelists: Chris Achatz - Associate, Bryan Cave LLP Julia Jacobson - Partner, K&L Gates LLP Greg Jones - VP Data and Analytics, Equifax Stefanie Schmidt - General Counsel & Chief of Staff, DemystData Aleksandr Yampolskiy - CEO and Co-Founder, SecurityScorecard
Views: 250 One World Identity
Frank Pasquale on Big Data
We’ve heard a lot about ‘big data’ in the last few years, but who is connecting the dots about what firms are doing with this information? Law professor Frank Pasquale visits the RSA to argue that we all need to be able to know more and to set limits on how big data affects our lives. Hidden algorithms can make or break reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Is it true, for example, that there are no regulations governing how third-party data brokers and marketers assemble and distribute ‘microtargeting lists’? Follow the RSA on Twitter: https://twitter.com/RSAEvents Like the RSA on Facebook: https://www.facebook.com/theRSAorg
Views: 4828 The RSA
Big Data Compliance Webinar – Legal, Compliance, and Risk Professionals
Experts share their experience and insights on big data compliance. Hear their thoughts on bringing together people, process, and technology to ensure that organizations have a comprehensive understanding in developing and modifying processes for managing regulatory change. For more, visit: http://legalsolutions.thomsonreuters.com/law-products/solutions/legal-outsourcing-services/regulatory-change-management
Government Regulation Coming on Big Data? | Jason Ezell | Automotive Digest
Regulation on consumer data collection will probably come from Washington at some time. It may come in several forms- like a 'do not track' list. Jason Ezell, President, Co-Founder, Dataium. For more automotive news, information and videos go to Automotive Digest at http://www.automotivedigest.com Follow us on Twitter! @AutoDigest
Views: 76 AutomotiveDigest
The 3 Biggest Impacts of the GDPR on Data Analytics
The General Data Protection Regulation (GDPR) will have three, big impacts when it goes into effect on May 25th, 2018: First, if you process any records of any people residing in the EU, it will impact you no matter where your organization is located! Second, EU residents can only consent to data uses that can be specifically and unambiguously explained at the time of consent; which dramatically reduces the ability of your organization to rely on consent for analytics, artificial intelligence and machine learning. Third, historical data lakes will not be usable if records were collected using broad-based consent. The GDPR does not have a grandfather provision allowing use of data collected without GDPR-compliant consent, before May 2018. Failing to comply with the GDPR, carries fines up to 4% of your organization’s global gross revenue! Anonos BigPrivacy® is the only solution that enables analytics and use of historical data in compliance with the GDPR and other evolving global regulations. Anonos BigPrivacy's state-of-the-art patented technology enables your organization to comply with the GDPR and continue to process analytics on current and future data; to drive operations, revenue and future value. Learn how Anonos BigPrivacy unlocks the value of data: Contact Anonos, and schedule a demo. Contact us at https://anonos.com
Views: 3465 Anonos BigPrivacy
[GDPR series] episode 1 : "big data"
The topic this time is GDPR, which stands for "General Data Protection Regulation". GDPR is an european regulation which comes into force in 2018. GDPR aims at regulating the processing of personal data, and has a major impact on security policies, and security projects that will have to be carried out in organizations and companies. We will study the main provisions of the regulation, as well as the actions to be taken to comply, in other videos that will follow. But before that, we'll start by looking at the overall context, to better understand the purpose and motivation behind this new regulation. +++++ GOING FURTHER +++++ - Documentary "The human face of Big Data" [Sandy SMOLAN] - Book "Terra data" [Serge ABITEBOUL, Valérie PEUGEOT] - Video "Big data (ep.15)" [DATA GUEULE]: https://www.youtube.com/watch?v=5otaBKsz7k4 +++++ ORIGINAL SOUNDTRACK +++++ Original soundtrack by Fragile Architecture: https://fragilearchitecture.bandcamp.com/album/clearsec-original-soundtrack +++++ SOURCES +++++ http://www.clearsec.net/s01e01.html +++++ SUBSCRIBING +++++ Subscribe here: https://www.youtube.com/channel/UCup911j5LsN-Y4FbOwnu8QA?sub_confirmation=1 +++++ WEBSITE +++++ http://www.clearsec.net
Views: 265 CLEARSEC
Asset liability management and liquidity risk: Insights into new regulations and big data solutions
Learn more about new technologies in ALM/LR at https://www.ibm.com/ca-en/marketplace/algo-alm-and-liquidity-risk-on-big-data In this Risk.net video Luis Matias - ALM and Liquidity Risk Lead, IBM Watson Financial Services provides insights into new regulatory pressures, big data and the need for flexible technological solutions in the area of ALM/LR.
Views: 1099 IBM FinTech
Creating an Extensible Big Data Platform | DataEngConf BCN '18
WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San Francisco: https://www.datacouncil.ai/san-francisco Singapore: https://www.datacouncil.ai/singapore Download slides for this talk: https://www.dataengconf.com/speaker/creating-an-extensible-big-data-platform?hsLang=en-us?utm_source=youtube&utm_medium=social&utm_campaign=%20-%20DEC-BCN-18%20Slides%20Download ABOUT THE TALK Uber's mission is to provide transportation as reliable as running water, everywhere, and for everyone. To fulfill this mission, Uber relies heavily on making data-driven decisions at every level. Thus, we need to store an ever-increasing amount of data as the business grows in addition to providing faster, more-reliable, and more-performant access to our analytical data. In practice, this has resulted in 100+ PetaBytes of analytical data with minute-level data latency. On the other hand, due to Uber's global presence, regional regulations (such as GDPR) require additional and potentially more complex operations to be supported on the stored analytical data. These additional operations are usually unknown ahead of time, in many cases contradict the way data lakes are traditionally built/stored, and may require fundamental changes to the underlying assumptions/architecture. A good example is the GDPR regulation need to support update/delete operation on all historical Hadoop data that is traditionally considered append-only and stored in a read-only columnar file format within the analytical data lake. In this talk, we'll dive into how to build a generic big data platform that is flexible enough to support many of these unknown additional regulations/requirements out of the box and with minimum effort. This is not a review of how Uber tackled all the requirements of the GDPR but a deep dive into how Uber's big data platform came up with the fundamental primitives that enabled all other teams across the company to build their solution on top of Hadoop. We'll look into what technologies we were able to use from the open-source community (e.g. Hadoop, Spark, Hive, Presto, Kafka, Avro, and Vertica) and what solutions we had to build in-house (and open-source) to make this happen. You'll leave the talk with greater insight into how things work at Uber and will be inspired to re-envision your own data platform to make it more generic and flexible for future new requirements. Presenter: Reza Shiftehfar Engineering Manager at Uber Technologies Inc Reza currently leads the Hadoop-Platform team at Uber where his team builds the required reliable/scalable data platform that serves petabytes of data utilizing technologies such as Hadoop, Hive, Kafka, Spark, Presto, etc. Reza is one of the founding engineers of the data at Uber and helped scale Uber's data platform from a few TB to 100+ PetaBytes while reducing the big data latency from 24+ hours down to minutes. Reza holds a Ph.D. degree in Computer Science from the University of Illinois @ Urbana-Champaign and had previously worked at Twitter and Apple on similar infrastructure/big data platforms. If you are interested in the area of distributed systems and Big Data analytics and want to follow up with Reza, you can reach him on LinkedIn (https://linkedin.com/in/reza-shiftehfar-39301b6/) or on Twitter (https://twitter.com/RezaSH). FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai Facebook: https://www.facebook.com/datacouncilai
Views: 384 Data Council
Privacy Security Regulation and Voluntary Data Sharing
(Visit: http://www.uctv.tv/) Google just announced a new life sciences company to address aging; the Supreme Court recently ruled that companies can't patent genes; An increasing number of new companies propose to work on big data in healthcare and in mobile health. How does this shifting landscape affect you? Claire Brindis, Director, Philip R. Lee Institute for Health Policy Studies at UCSF, Dan Dohan, UCSF Health Policy and Social Medicine, and Mini Kahlon, UCSF Clinical & Translational Science Institute, explore the opportunities and concerns afforded by the explosion of data about our health. Series: "UCSF Osher Center for Integrative Medicine presents Mini Medical School for the Public" [3/2014] [Health and Medicine] [Show ID: 25930]
Unifying Big Data, GDPR and Governance with Analytics
Solix Solution Showcase Theater Gartner Symposium/ITxpo, 5 - 9 November 2017 | Barcelona, Spain
Adam Wells -  Big Data Converging with Legal, Information Governance and Regulatory Requirements
Adam Wells, VP, Business Development & eDiscovery Consulting, discusses Information Governance on this webcast provided by Exterro.
Views: 543 DiscoverTERIS
Alexander Stubb on Artificial Intelligible (2/3): Freedom, regulation and big data
Talk by Alexander Stubb on Friday 21st of September 2018 in Porthania, University of Helsinki. Chaired by Timo Honkela.
Views: 43 Timo Honkela
The Collision Course Between Big Data, Privacy, Ethics & Regulations By Ashwin Krishnan, CEO
6th Annual Global Big Data Conference Preview video - Ashwin Krishnan, CEO, Ashwin Krishnan. He will address on "The Collision Course Between Big Data, Privacy, Ethics And Regulations" at Santa Clara Convention Center Aug 28-30. Use Promo Code LIN to receive $175 discount and register by July 16th http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/attendee-registration-105.html More info on talk http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference-105/speaker-details/ashwin-krishnan-62678.html 100+ confirmed speakers http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/speakers-105.html Abstract : With the much heralded GDPR - General Data Protection Regulation - in place now and regardless of whether you are a box checker, an active practitioner or a procrastinator, it has revealed much about what good data privacy hygiene looks like. And that involves collecting and storing as little as possible so the exposure is minimal. And consumer rights to revocation or transportation can be accommodate easily. And this has been a U turn for most forward leaning organizations. Going from taking snapshot backups every hour and storing it in cheap (and getting cheaper) cloud storage. And worry about that exposure later. To now actively going and changing policies to take backups more thoughtfully and not retaining it longer than necessary. Now let's shift focus to AI. AI is everywhere - Google Duplex to the Amazon shopping recommendation to personalized healthcare - and the one crucial ingredient that underpins the success of AI is large swaths of data. The more data there is, the better the algorithms that can be trained in order to get to a recommendation and action that makes sense. A good example of this is the autonomous cars. In order for these cars to determine a light pole from a tall thin man, they need to have seen enough light poles in daylight, dusk and night. The tall thin men should represent all races so the skin color has enough data sets to make the algorithm effective. And that requires lots of data to train the model. Therein lies the conflict. The regulation and privacy gurus will be advocating for limiting the amount of data collected in order to provide for a safer and more trustworthy customer experience. The AI engineers and business owners will be pulling the wagon in the diametrically opposite direction in order to make the AI more effective. We will explore each of these in more detail and offer suggestions.
Views: 35 globalbigdata
Max Schrems on EU privacy laws and big data
Max Schrems is an Austrian lawyer, author and privacy activist. He came to speak to the EBU at the Legal and Public Affairs Assembly. In this video, he tells us about the EU-US Privacy Shield, the EU Data Protection Regulation and how big data can be used to serve the public interest.
Big Data Policing: Changing the force?
Information has always been a crucial part of policing. In the past, that came from working in the community. But now new technology means there's a huge swathe of data that needs to be collected and analysed. So what does that mean for the men and women who are sworn to protect? Joining us is John Eterno, Professor of Criminology at Molloy College and Former NYPD captain. Here at the Roundtable is Boyd Mulvey, CEO of Chorus Intelligence and Dal Babu, Former Chief Superintendent of the Metropolitan Police. Roundtable is a discussion programme with an edge. Broadcast out of London and presented by David Foster, it's about bringing people to the table, listening to every opinion, and analysing every point of view. From fierce debate to reflective thinking, Roundtable discussions offer a different perspective on the issues that matter to you. Watch it every weekday at 15:30 GMT on TRT World. #BigData #Policing #Surveillance
Views: 248 Roundtable
Big Data: Economic, Ownership, Legal, and Political Aspects User data is arguably digital platforms’ most valuable asset. How data are used has profound economic, social, and political implications. What are these implications? Where along the value chain do data belong? Could reassigning ownership of the data and making it easily available to users promote competition and address privacy concerns? Moderator: Ludwig Siegele, Technology Editor, The Economist - Julia Angwin, Senior Reporter, ProPublica - Dennis Carlton, David McDaniel Keller Professor of Economics, University of Chicago Booth School of Business - Richard Schmalensee, Howard W. Johnson Professor of Economics and Management and Dean Emeritus, MIT Sloan School of Management - Jonathan Taplin, Director Emeritus, Annenberg Innovation Lab, University of Southern California - Luigi Zingales, Robert C. McCormack Distinguished Service Professor of Entrepreneurship and Finance; Faculty Director, Stigler Center, University of Chicago Booth School of Business
Views: 400 Stigler Center
Unifying Big Data, GDPR and Governance along with Analytics in a Common Data Platform
Peter Evans will discuss how companies moving to a data-driven enterprise are addressing the challenges of maintaining governance, regulatory compliance especially GDPR along with access to data and storage costs whilst at the same time trying to satisfy the demands of the business for a complete 360 degree view of their company in one holistic environment. Peter will discuss the new Enterprise blueprint and the Solix Common Data Platform and how this can help to drive success in these challenging times.
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Clip) (3/13/13)
Viktor Mayer-Schonberger and Kenneth Cukier Viktor Mayer-Schonberger, Professor of Internet Governance and Regulation, Oxford University; Co-author, Big Data: A Revolution That Will Transform How We Live, Work, and Think Kenneth Cukier, Data Editor, The Economist; Co-author, Big Data: A Revolution That Will Transform How We Live, Work, and Think Moira Gunn, Host, "Tech Nation," NPR - Moderator What does a car's paint color reveal about its roadworthiness? How did Google searches predict the spread of the H1N1 flu outbreak? One key to answering questions like these is big data. "Big data" refers to our ability to crunch vast collections of information, analyze it instantly, and draw conclusions from it. Two leading experts in the field reveal what big data is, how it may change our lives, and what we can do to protect ourselves from its hazards.
Views: 892 Commonwealth Club
Session 4: Reconciling Big Data and Privacy-legal safeguards for unleashing technological innovation
Jon Snaedal, World Medical Association - Big Data and the New EU Data Protection Regulation (GDPR) Sophie Louveaux, European Data Protection Supervisor - Mechanisms to Meet Privacy Requirements for Clinical Data Management in Large Observational and Experimental Studies Ronald Brand, University of Leiden -Ethical and Governance Aspects of Research Data: Experience from UK Biobank Helene Hayman, House of Lords, UK Biobank Ethics and Governance Council - Wacean. A patient-driven innovative tool for data capture Julian Isla, Dravet Syndrome Foundation - Discussion
Views: 122 emainfo
Karen Yeung - Algorithmic Regulation - The Frontiers of Machine Learning
February 1, 2017 - Karen Yeung of King's College London presents, "Algorithmic Regulation: A Critical Interrogation" at the 2017 Raymond and Beverly Sackler Forum. Innovations in networked digital communications technologies, including the rise of ‘Big Data’, ubiquitous computing and cloud storage systems, may be giving rise to a new system of social ordering known as algorithmic regulation. Algorithmic regulation refers to decision-making systems that regulate a domain of activity in order to manage risk or alter behaviour through continual computational generation of knowledge by systematically collecting data (typically in real time on a continuous basis) emitted directly from numerous dynamic components pertaining to the regulated environment in order to identify and, if necessary, automatically refine (or prompt refinement of) the system’s operations to attain a pre-specified goal. It provides a descriptive analysis of algorithmic regulation, classifying these decision-making systems as either reactive or pre-emptive, and offers a taxonomy that identifies 8 different forms of algorithmic regulation based on their configuration at each of the three stages of the cybernetic process: notably, at the level of standard setting (variable vs fixed behavioural standards); information-gathering and monitoring (historic data vs predictions based on inferred data) and at the level of sanction and behavioural change (automatic execution vs recommender systems). It maps the contours of several emerging debates surrounding algorithmic regulation, drawing upon insights from regulatory governance studies, legal critiques and selective insights from surveillance studies to highlight various concerns about the legitimacy of algorithmic regulation. It concludes by sketching the contours of a broad research agenda anchored within legal and regulatory governance scholarship as a subset of the rich and growing work in critical algorithm studies. Learn more about the Raymond and Beverly Sackler U.S. - U.K. Scientific Forum at http://www.nasonline.org/programs/sackler-forum/.
Tackling Global Problems with Big Data
From EU Privacy laws to the personal affects of Big Data, excerpts from a discussion at Chatham House on 25 March 2013. Participants: Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation, Oxford Internet Institute, University of Oxford Kenneth Cukier, Data Editor, The Economist Chair: Professor Angela Sasse, Head of Information Security Research, University College London. Full event audio and more: http://www.chathamhouse.org/events/view/189591
Views: 354 Chatham House
Global Ethics Forum: The Ethics of Big Data with danah boyd
How do we analyze vast swaths of data and who decides what to collect? For example, big data may help us cure cancer, but the choice of data collected for police work or hiring may have built-in biases, explains Microsoft Research's danah boyd. "All the technology is trying to do is say, 'What can we find of good qualities in the past and try to amplify them in the future?' It's always trying to amplify the past. So when the past is flawed, it will amplify that." For full transcript and audio, please go to: https://www.carnegiecouncil.org/studio/multimedia/20170907-ethics-matter-with-danah-boyd
Big Data LDN 2017: GDPR Panel Debate
Panel debate from Big Data LDN 2017 Theatre: Data-Driven LDN Theatre Date: 16th November 2017 Time: 15:50
Views: 61 Big Data LDN
Big Data In Government
Thesis Presentation Video
Views: 154 KCH
Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Louis DiModugno, Chief Data and Analytics Officer at AXA, presented at FirstMark's Data Driven NYC on May 18, 2016. DiModugno discussed how Big Data is being leveraged across the insurance industry and how it's adapting to emerging technologies like self-driving cars and wearables that collect health data. AXA is a global insurance brand. Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark. FirstMark is an early stage venture capital firm based in New York City. Find out more about Data Driven NYC at http://datadrivennyc.com and FirstMark Capital at http://firstmarkcap.com.
Views: 2809 Data Driven NYC

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