Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Schedule: Law, ethics, governance sessions

Open data and heightened privacy concerns mean new (and often controversial) thinking on governance, ethics, and compliance—as well as a renegotiation of the pact we make with a life lived in public.

9:00am5:00pm Tuesday, March 14, 2017
Location: LL20 A
Barbara Eckman (Comcast), Dirk Jungnickel (Emirates Integrated Telecommunications Company (du)), Kishore Papineni (Astellas Pharma), Paul Barth (Podium Data), Carlo Torniai (Pirelli Tyre), Bryan Harrison (American Express), Chris Murphy (Zurich Insurance Group), Martin Lidl (Deloitte), Maura Lynch (Pinterest), Nixon Patel (Kovid Group), Bas Geerdink (ING), Robin Li (Tapjoy), Yohan Chin (Tapjoy), Jim Harrold (NationBuilder), Lana Novikova (Heartbeat AI Technologies)
In a series of 12 half-hour talks aimed at a business audience, you’ll hear data-themed case studies from household brands and global companies, explaining the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
2:40pm3:20pm Wednesday, March 15, 2017
Location: 212 C Level: Beginner
Alysa Z. Hutnik (Kelley Drye & Warren LLP), Crystal Skelton (Kelley Drye & Warren LLP)
Average rating: ****.
(4.00, 3 ratings)
Big data promises enormous benefits for companies, and new innovations in this space only mean more data collection is required. Having a solid understanding of legal obligations will help you avoid the legal snafus that can come with collecting big data. Alysa Hutnik and Crystal Skelton outline legal best practices and practical tips to avoid becoming a big data “don’t.” Read more.
4:20pm5:00pm Wednesday, March 15, 2017
Location: 210 A/E
Secondary topics:  Cloud
Mark Donsky (Okera), Sudhanshu Arora (Cloudera)
Average rating: ****.
(4.00, 1 rating)
Big data needs governance. Governance empowers data scientists to find, trust, and use data on their own, yet it can be overwhelming to know where to start—especially if your big data environment spans beyond your enterprise to the cloud. Mark Donsky and Sudhanshu Arora share a step-by-step approach to kick-start your big data governance initiatives. Read more.
9:00am9:15am Thursday, March 16, 2017
Location: Grand Ballroom
Secondary topics:  AI
Andra Keay (Silicon Valley Robotics)
Average rating: ****.
(4.09, 46 ratings)
Let’s stop talking about bad robots and start talking about what makes a robot good. A good or ethical robot must be carefully designed. Andra Keay outlines five principles of good robot design and discusses the implications of implicit bias in our robots. Read more.
11:50am12:30pm Thursday, March 16, 2017
Location: LL21 B Level: Non-technical
Secondary topics:  Data for good
Craig Hibbeler (MasterCard Advisors), David Goodman (Nethope), Mike Olson (Cloudera), Laura Eisenhardt (iKnow Solutions), Steven Totman (Cloudera)
In a panel moderated by Steve Totman, Mike Olson, Laura Eisenhardt, Craig Hibbeler, and David Goodman discuss real-world projects using big data as a force for good to address problems ranging from Zika to child trafficking. If you’re interested in how big data can benefit humankind, join in to learn how to get involved. Read more.
4:20pm5:00pm Thursday, March 16, 2017
Location: 210 A/E
Max Ogden (Independent)
Average rating: *****
(5.00, 1 rating)
Max Ogden offers an overview of Data Refuge, a nationwide volunteer effort led by librarians, scientists, and coders to discover and back up research data at risk of disappearing. Max discusses his work to uncover hundreds of federal data servers containing petabytes of publicly funded research data and his plan to keep it online and useful to researchers in the future. Read more.