The online experience is changing from a world where users pull static text off of webpages to a world were the experience is much more immersive with pictures, videos and three dimensional animations and much more interactive with Web 2.0 functionality, instant messaging and real time data. As these changes take place, information providers need to rethink their online strategies and how they use various tools.

At the center of any information strategy is a good content management system. Drupal is a widely popular open source content management system that facilitates the organization and presentation of information. It allows users of the site to easily add content and has been expanded to include better functionality for images and video. It is this ability to easily be expanded that makes it interesting as more immersive synchronous environments become more popular.

One such environment is Second Life. Second Life has been getting more and more attention as companies explore how they can use to achieve corporate goals. With Second Life, you use a Second Life client, instead of a web browser to access the Second Life servers. These servers provide a three-dimensional real time environment where uses interact with objects that have been created as well as with one another. Second Life has it’s own currency which facilitates micropayments there and there is an active currency exchange to change the Second Life currency, called Linden Dollars, into U.S. dollars.

Last January, we wrote about virtual foreign exchange trading and exploring market data in Second Life. Since then, there has been a lot of interesting activity in Second Life trading markets, which I’ve described on my personal blog.

As the number of people using Second Life and the amount of transactions expand, the need to extract data from Second Life as well as to monitor activity grows. Elsewhere I’ve written technical information about collecting information from Second Life into a Drupal content management system.

At the same time, there are articles appearing about Streambase and Simutronics working together to do statistical analysis of cheating their game server.

Streambase is a major player in the Business Activity Monitoring (“BAM”)
<> Business Process Management (“BPM”)
<> Enterprise Application Integration (“EAI”)
<> Event-Driven Architectures (“EDA”)
<> Network and business level Security
<> Real time conformance to regulations, rules, policies and procedures.

CEP embodies principles for creating information system applications that enable enterprises to keep pace with the vast amount of date and information flowing through their IT systems. The goal of CEP is to enable the data contained in the events flowing through all of the layers of the enterprise IT infrastructure to be discovered, transformed into information, understood in terms of its impact on high-level enterprise objectives and business processes, and then ideally acted upon in real-time, thereby reducing decision latencies and hopefully improving Economic Value Added (“EVA”). CEP proactively deals with events created by technologies such as RFID or flowing data streams such a financial market price reporting data or communication system log data. CEP employs techniques such as the detection of complex patterns of many events, event streams processing, event correlation and abstraction, event hierarchies, and relationships between events such as causality, membership, and perhaps most importantly timing. CEP can complement and contribute to other emerging technologies such as service oriented architecture (SOA), event driven architecture (EDA) and business process management (BPM).">complex event processing field and it will be interesting to see ways that Business Activity Monitoring (“BAM”)
<> Business Process Management (“BPM”)
<> Enterprise Application Integration (“EAI”)
<> Event-Driven Architectures (“EDA”)
<> Network and business level Security
<> Real time conformance to regulations, rules, policies and procedures.

CEP embodies principles for creating information system applications that enable enterprises to keep pace with the vast amount of date and information flowing through their IT systems. The goal of CEP is to enable the data contained in the events flowing through all of the layers of the enterprise IT infrastructure to be discovered, transformed into information, understood in terms of its impact on high-level enterprise objectives and business processes, and then ideally acted upon in real-time, thereby reducing decision latencies and hopefully improving Economic Value Added (“EVA”). CEP proactively deals with events created by technologies such as RFID or flowing data streams such a financial market price reporting data or communication system log data. CEP employs techniques such as the detection of complex patterns of many events, event streams processing, event correlation and abstraction, event hierarchies, and relationships between events such as causality, membership, and perhaps most importantly timing. CEP can complement and contribute to other emerging technologies such as service oriented architecture (SOA), event driven architecture (EDA) and business process management (BPM).">complex event processing interacts with content management systems and immersive synchronous worlds with vibrant microcurrencies.