Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Cait O'Riordan

Cait O'Riordan
Chief Product & Information Officer, Financial Times

@caitoriordan

Cait O’Riordan is the Financial Time’s (FT) chief product and information officer (CPIO). She’s responsible for platform and product strategy, development and operations across the FT Group, working in close partnership with editorial and commercial teams. She’s on the FT executive board, which is responsible for the company’s global strategy and performance. Previously, Cait led the BBC’s digital product development for the London 2012 Olympics and played a central role in the user and revenue growth of music app company Shazam.

Sessions

9:00am–5:00pm Wednesday, 02/18/2015
Data-Driven Business Day
Location: LL21 C/D
Alistair Croll (Solve For Interesting), Cait O'Riordan (Financial Times), Lutz Finger (LinkedIn), Kuang Chen (Captricity), Emi Nomura (Jawbone), AJ Loiacono (Truveris), Rosie Atkins (Groupon), Anne Johnson (Credit Suisse), Jerry Overton (DXC), Ann Johnson (Interana), Mark Madsen (Teradata), Leah Hunter (Tech Journalist), Ellen Friedman (MapR Technologies), India Swearingen (United Way of the Bay Area), Satyam Priyadarshy (Halliburton), Joerg Blumtritt (Datarella)
Average rating: ***..
(3.50, 18 ratings)
All-Day: For business strategists, marketers, product managers, and entrepreneurs, Data-Driven Business looks at how to use data to make better business decisions faster. Packed with case studies, panels, and eye-opening presentations, this fast-paced day focuses on how to solve today's thorniest business problems with Big Data. It's the missing MBA for a data-driven, always-on business world. Read more.
3:45pm–4:05pm Wednesday, 02/18/2015
Data-Driven Business Day
Location: LL20 A.
Cait O'Riordan (Financial Times)
Average rating: ****.
(4.83, 6 ratings)
As the number of ways to discover and listen to music increases, Shazam's data becomes even more powerful in predicting music tastes/fashions. Labels/artists/radio stations increasingly look to Shazam to predict what the next big hit or summer smash will be. Shazam also uses its usage data to create new product opportunities. Read more.