KMi Seminars
Amazon's web services strategy
This event took place on Tuesday 25 July 2006 at 14:00

 
Jeff Barr Amazon Web Services

Amazon spent ten years developing the world-class technology and content platform that powers the Amazon web site for millions of customers every day. Using Amazon Web Services (AWS), you can build software applications leveraging the same robust, scalable, and reliable technology. AWS now offers eight services with open APIs for developers to build applications. Learn how you can create innovative applications and then launch on-line businesses that make money. Jeff Barr, Amazon Web Services Evangelist, will provide an overview of Amazon Web Services and show you the possibilities created by these innovative offerings.

Jeff Barr, Amazon's Technical Evangelist from the US, will be visiting the Open University at the invitation of the ICT department on Tuesday 25th July to give a high-level presentation of Amazon's web services strategy with in-depth examples of how developers are using the services to build applications for innovative business solutions.

Jeff is the Technical Evangelist for Amazon Web Services. In this role, focuses on helping the Amazon Web Services developer community achieve success in building innovative and successful businesses using Amazon.com data and technology.

He has held development and management positions at KnowNow, eByz, Akopia, and Microsoft, and was a co-founder of Visix Software. Jeff's interests include collecting and organizing news feeds using his site, www.syndic8.com. He holds a bachelor's degree in Computer Science from the American University and has done graduate work in Computer Science at the George Washington University.

Related links:
AWS Main Page: http://aws.amazon.com
AWS Blog: http://aws.typepad.com

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website