Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Schedule: Law, ethics, governance sessions

9:00am–12:30pm Tuesday, 09/11/2018
Getting ready for GDPR: Securing and governing hybrid, cloud, and on-premises big data deployments, step by step
Location: 1E 11 Level: Intermediate
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
Mark Donsky (Okera), Syed Rafice (Cloudera), Mubashir Kazia (Cloudera), Ifigeneia Derekli (Cloudera), Camila Hiskey (Cloudera)
Average rating: ****.
(4.50, 2 ratings)
New regulations such as GDPR are driving new compliance, governance, and security challenges for big data. Infosec and security groups must ensure a consistently secured and governed environment across multiple workloads. Mark Donsky, Syed Rafice, Mubashir Kazia, Ifigeneia Derekli, and Camila Hiskey share hands-on best practices for meeting these challenges, with special attention paid to GDPR. Read more.
9:00am–5:00pm Tuesday, 09/11/2018
Findata Day
Location: 1A 08
Alistair Croll (Solve For Interesting), Robert Passarella (Alpha Features), Amro Alkhatib (National Health Insurance Company-Daman), Mridul Mishra (Fidelity Investments), Patrick Angeles (Cloudera), James Psota (Panjiva ), Andreas Kohlmaier (Munich Re), Paul Lashmet (Arcadia Data), Nick Curcuru (Mastercard), Robin Way (Corios), Theresa Johnson (Airbnb), Jane Tran (Unqork), Swatee Singh (American Express)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
9:00am–5:00pm Tuesday, 09/11/2018
Data Case Studies
Location: 1E 10
Paco Nathan (derwen.ai), Katharina Warzel (EveryMundo), Mike Berger (Mount Sinai Health System), Sam Helmich (Deere & Company), Stephanie Fischer (datanizing GmbH), Maryam Jahanshahi (TapRecruit), Greg Quist (SmartCover Systems), Ann Nguyen (Whole Whale), Steve Otto (Navistar), Jennifer Lim (Cerner), S Anand (Gramener), Ian Brooks (Cloudera)
Hear practical insights from household brands and global companies: the challenges they tackled, approaches they took, and the benefits—and drawbacks—of their solutions. Read more.
11:20am–12:00pm Wednesday, 09/12/2018
Executive Briefing: GDPR—Getting your data ready for heavy, new EU privacy regulations
Location: 1E 14 Level: Intermediate
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
Mark Donsky (Okera), Steven Ross (Cloudera)
In May 2018, the General Data Protection Regulation (GDPR) went into effect for firms doing business in the EU, but many companies still aren't prepared for the strict regulation or fines for noncompliance (up to €20 million or 4% of global annual revenue). Mark Donsky and Steven Ross outline the capabilities your data environment needs to simplify compliance with GDPR and future regulations. Read more.
2:05pm–2:45pm Wednesday, 09/12/2018
An ethical foundation for the AI-driven future
Location: 1E 12/13 Level: Beginner
Secondary topics:  Ethics and Privacy
Harry Glaser (Periscope Data)
Average rating: *****
(5.00, 2 ratings)
What is the moral responsibility of a data team today? As AI and machine learning technologies become part of our everyday life and as data becomes accessible to everyone, CDOs and data teams are taking on a very important moral role as the conscience of the corporation. Harry Glaser highlights the risks companies will face if they don't empower data teams to lead the way for ethical data use. Read more.
2:55pm–3:35pm Wednesday, 09/12/2018
Beyond explainability: Regulating machine learning in practice
Location: 1E 12/13 Level: Non-technical
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
Andrew Burt (bnh.ai)
Average rating: *****
(5.00, 2 ratings)
Machine learning is becoming prevalent across industries, creating new types of risk. Managing this risk is quickly becoming the central challenge of major organizations, one that strains data science teams, legal personnel, and the C-suite alike. Andrew Burt shares lessons from past regulations focused on similar technology along with a proposal for new ways to manage risk in ML. Read more.
5:25pm–6:05pm Wednesday, 09/12/2018
If you thought politics was dirty, you should see the analytics behind it.
Location: 1E 12/13 Level: Non-technical
Secondary topics:  Media, Marketing, Advertising
John Thuma (Arcadia Data)
Average rating: *****
(5.00, 1 rating)
Forget about the fake news; data and analytics in politics is what drives elections. John Thuma shares ethical dilemmas he faced while proposing analytical solutions to the RNC and DNC. Not only did he help causes he disagreed with, but he also armed politicians with real-time data to manipulate voters. Read more.
11:20am–12:00pm Thursday, 09/13/2018
Data and privacy at scale at Wikipedia
Location: 1E 12/13 Level: Beginner
Secondary topics:  Ethics and Privacy
Nuria Ruiz (Wikimedia)
The Wikipedia community feels strongly that you shouldn’t have to provide personal information to participate in the free knowledge movement. Nuria Ruiz discusses the challenges that this strong privacy stance poses for the Wikimedia Foundation, including how it affects data collection, and details some creative workarounds that allow WMF to calculate metrics in a privacy-conscious way. Read more.
11:20am–12:00pm Thursday, 09/13/2018
Data discovery and lineage: Integrating streaming data in the public cloud with on-prem, classic data stores, and heterogeneous schema types
Location: 1E 09 Level: Advanced
Secondary topics:  Data Integration and Data Pipelines, Data preparation, governance and privacy, Media, Marketing, Advertising
Barbara Eckman (Comcast)
Average rating: ****.
(4.33, 6 ratings)
Comcast’s streaming data platform comprises ingest, transformation, and storage services in the public cloud, with Apache Atlas for data discovery and lineage. Barbara Eckman explains how Comcast recently integrated on-prem data sources, including traditional data warehouses and RDBMSs, which required its data governance strategy to include relational and JSON schemas in addition to Apache Avro. Read more.
1:10pm–1:50pm Thursday, 09/13/2018
Enacting Data Subject Access Rights for GDPR with data services and data management
Location: 1E 12/13 Level: Intermediate
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
Jean-Michel Franco (Talend)
Average rating: ***..
(3.50, 2 ratings)
GDPR is more than another regulation to be handled by your back office. Enacting the GDPR's Data Subject Access Rights (DSAR) requires practical actions. Jean-Michel Franco outlines the practical steps to deploy governed data services. Read more.
3:30pm–4:10pm Thursday, 09/13/2018
Balancing stakeholder interests in personal data governance technology
Location: 1E 12/13 Level: Intermediate
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
LaVonne Reimer, JD (Lumenous)
GDPR asks us to rethink personal data systems—viewing UI/UX, consent management, and value-add data services through the eyes of subjects of the data. LaVonne Reimer explains why the opportunity in the $150B credit and risk industry is to deploy data governance technologies that balance the interests of individuals to control their own data with requirements for trusted data. Read more.