Collective Intelligence is a mix of cloud computing and crowd computing where both infrastructures are working optimally. However, cloud computing has issues related to security and privacy, while crowd computing solutions still need improvement in the way they moderate opinion, resolve conflict, and check facts. If we could just get past these issues, we could create a powerful collective intelligence out of a symbiotic relationship of computers, software, and humans. Is this possible? What would it take to make it happen?
Steven Rubinow, Executive Vice President & Chief Information Officer, NYSE EURONEXT
Steve Rubinow is Executive Vice President and Chief Information Officer, NYSE Euronext. He is responsible for most technology endeavors at the company. Prior to joining NYSE Euronext, Mr. Rubinow was Chief Technology Officer of Archipela... More View all posts
Steve Rubinow is Executive Vice President and Chief Information Officer, NYSE Euronext. He is responsible for most technology endeavors at the company. Prior to joining NYSE Euronext, Mr. Rubinow was Chief Technology Officer of Archipelago Holdings, Inc, prior to its merger with the NYSE in 2006. He was Chief Technology Officer since July 2001 and was responsible for Archipelago's software development, database development, quality assurance, operations, and client connectivity areas, whose staff is located in Chicago, New York, Orlando and San Francisco. Prior to Archipelago, Mr. Rubinow worked in Silicon Valley as Senior Vice President and Chief Information/Technology Officer at NextCard, Inc., a leading Internet provider of consumer credit that had a successful IPO in 1999. He was responsible for all aspects of technology including software and database engineering, operations, architecture and quality assurance. Prior to joining NextCard, he was the Chief Information Officer at another successful start-up, AdKnowledge, Inc. which was acquired by CMGI in 2001. Mr. Rubinow was Vice President, Corporate Management Information Systems at Fidelity Investments where he developed an Information Architecture to integrate the information housed in a vast array of software and hardware technologies across Fidelity’s 40+ divisions. He also developed critical systems for use in the core mutual fund investment area and evaluated new companies as potential candidates for investment by Fidelity Ventures. He served on the adjunct faculty in Computer Science at DePaul University from 1986-1994, where he taught undergraduate and graduate classes in database technology and analytic systems. Less View all posts