kellypuffs 06000168YK Visits (1818)
Jazz.net have a great new video tour of Rational Requirements Composer Beta 2a and Lifecycle Linking.
We examine in this video some of the latest capabilities provide in Rational Requirements Composer (RRC) Beta 2a, including comment navigation, editing rich text, use cases, user-interface sketches and business process diagrams. From the dashboard, we also have viewlets that show the lifecycle status of the implementation of requirements, in Rational Team Concert (RTC) and validation using Rational Quality Manager (RQM) test cases. These requirements are also viewed as lifecycle links, in both the implementation and test plans.You can find more over at the IBMJazz YouTube channel. Enjoy!
AcdntlPoet 2700019V2G Visits (2618)
The replay of the TED talk "Final Jeopardy! and the Future of Watson" is available here:
Host Stephen Baker, author of "Man v. Machine," discusses Watson's performance on Jeopardy!, and the possible real-world applications of this technology with a panel of experts. The panel includes: IBM Watson Principal Investigator Dr. David Ferrucci, IBM Fellow and CTO of IBM's SOA Center for Excellence Kerrie Holley and Columbia University Professor of Clinical Medicine Dr. Herbert Chase.
I highly recommend taking the 33 minutes and watching this panel discussion. Some amazing bits of information about Watson's early beginnings, challenges, and what the future may hold. Exciting stuff!
And how about some other links about IBM's Watson while we're at it... lots of great info here:
As you digest all the information from the links above, I'll leave you with this: Jim Powers, a Worldwide Technical Enablement Lead for IBM Software Group, Sales, gave us some fun and interesting insights after Wednesday night's final Jeopardy! game.
"I had the privilege of attending the Littleton lab event last night to watch Watson kick some (very smart) human butt with 300+ of my colleagues and their families. I was both impressed and proud (as was the rest of the audience), as we watched a machine about the size of several refrigerators make television history.
Some great food for thought there, Jim...
This week has truly been ground breaking for our understanding of what natural language processing can accomplish. I can't wait to see where this technology takes us in the future, both from the machine perspective personified by Watson, but also from the social-learning and social business perspective as Jim outlined. Exciting times!
AcdntlPoet 2700019V2G Visits (2508)
This is a free preview of the first two modules of IBM's training course: RS810 Essentials of IBM Rational Team Concert V2.0. You can find the full course in IBM's course catalog as part of the Rational Team Concert training path.
Preview the Essentials of Rational Team Concert - Web-based Training Modules
This one-day course provides an introduction to IBM Rational Team Concert 2.0 using the Eclipse client. Team members learn to join a project, set up their local and repository workspaces, use work items and Jazz source control to manage changes, and understand some of the project reporting and monitoring capabilities of Rational Team Concert.
AcdntlPoet 2700019V2G Visits (2366)
Another brief video will show you how you can use the drop downs menus in the navigation bar to create resources or access existing resources, search for resources with quick search, track resources available from the drop down menus and the mini dashboard, and use the Home menu to switch between projects within the same or different applications.
AcdntlPoet 2700019V2G Visits (2650)
Determining where functionality is implemented or what existing code may be relevant for understanding and implementing a work item can be difficult using conventional search technologies. A developer may need to already be highly familiar with existing details such as code organization and naming conventions to be able to use regular expression and other wild-card style searches effectively. In large projects such searches may not be practical, and the developer instead relies on acquired insight. Context-Aware Search enables searching using natural language rather than exact patterns. This capability allows analysis of a work item for relevant keywords. Using these keywords it then locates source code that may be relevant for the work item.