Now that the Google Wave “sandbox” environment is widely available (see Starting with Google Wave if you need more background information), we’re starting to see some great examples of integrations between Google Wave and SAP systems.
DJ Adams’ great post on SDN shows how he built a robot to intercept SAP-specific references in a Google Wave conversation, and use that information to automatically augment the conversation. In this case, the robot automatically adds longer descriptions to standard SAP request codes.
And he shows how a bank-loan-application robot can use a form in the Google conversation to create a basic workflow that could then be linked to standard SAP enterprise services.
These examples are fairly rudimentary, but it’s easy to see how these could be augmented with other powerful technology, such as text analytics to get deeper understanding of the Google conversation, integration with metadata repositories to spot key terms like “revenue” or “sales”, and graphics and analytics engines to provide actionable information.
The prototype uses text analytics to interpret what you are writing in a slide, and then “automagically” propose appropriate charts and graphs, based on the metadata already stored in your BI systems. It’s easy to imaging extending this to Google Wave and other conversation environments such as Twitter, Facebook, and internal Enterprise 2.0 systems.