Crowd Computing: a New Approach to Data Management—Webcast

This webinar is no longer available.

Crowd computing is a method of working that brings together machine learning and crowdsourcing. It is particularly well suited to work that is made up of repetitive tasks; tasks that require human judgement; and those that need subject matter experts. In this webinar, speakers discuss how crowd computing can help data vendors and their clients manage a variety of challenges, including big data, regulations and cost pressure.

The topics covered include:

— How can crowd computing be leveraged by data vendors and what advantages can it bring?

— How might data vendors use crowd computing to help them innovate and create new products?

— What is involved in implementing a crowd computing project? What steps are typically followed?

— How does crowd computing assure the quality of crowd-sourced data? What checks and balances are typically used?

Speakers:
* Hubert Holmes, managing director, reference data, INTERACTIVE DATA
* Keith Broadhead, head of solution sales, Americas, SIX FINANCIAL INFORMATION

* Peter Marney, vice president, global content management, at JOHN WILEY AND SONS. Previously senior vice president, platform and information strategy, THOMSON REUTERS

* Max Yankelevich, chief architect, CEO and co-founder, WORKFUSION

* Adam Devine, vice president, product marketing and strategic partnerships, WORKFUSION
* Moderator: Nicholas Hamilton, Deputy Editor, INSIDE REFERENCE DATA

This webinar is no longer available.