Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Adam Devine

Adam Devine
VP Product Marketing, WorkFusion

Website | @workfusion

Adam Devine leads product marketing for WorkFusion, a SaaS platform for collecting, cleansing, and controlling data. Adam has 15 years of experience growing businesses through product marketing, including product positioning, market intelligence, messaging, and content creation. He began his career in management consulting at BearingPoint’s Banking & Capital Markets practice. Adam speaks frequently about human-machine collaboration, machine learning, and automation at conferences, including FIMA, FISD, Massolution, MarketTech, NAFIS, NFAIS, and SIIA.


9:00am–5:00pm Tuesday, 09/29/2015
Data-driven Business
Location: 1 E14 / 1 E15
Alistair Croll (Solve For Interesting), Farrah Bostic (The Difference Engine), Mark Madsen (Teradata), krish venkataraman (Syncsort), Amy O'Connor (Cloudera), Bill Franks (Teradata Corporation), Jake Kendall (Bill & Melinda Gates Foundation), Tricia Wang (Constellate Data ), Cecile Barbaroux (Schibsted Classified Media), Kristi Marotta (Allstate), Adam Devine (WorkFusion), Rahel Jhirad (Hearst), Alexander White (Next Big Sound), Jana Eggers (Nara Logics), Vincent Dell'Anno (Accenture), Fredrik Backner (Telia Company ), Bill Moschella (Evariant), Florin Trandafir (Nokia)
Average rating: ****.
(4.20, 5 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.
4:10pm–4:30pm Tuesday, 09/29/2015
Location: 1 E14/1 E15 Level: Non-technical
Adam Devine (WorkFusion)
Average rating: ***..
(3.75, 8 ratings)
The combination of machine learning and human intelligence is revolutionizing data collection, cleansing, and control in enterprise business. Data operations are shedding confining outsourcing contracts, eliminating fragile and fragmented point solutions like OCR, scrapers, and BPM, and forgoing IT projects in favor of agile cloud services that combine the best of human and machine productivity. Read more.