Configure ABAP webdynpro component into CRM system via Transaction launcher

THINK twice why you want to include an ABAP webdynpro component into CRM UI, as in CRM application it is not recommended to use ABAP webdynpro to develop UI. In some case for example, PDF preview is far more convenient using standard ABAP webdynpro control “Interactive form”. However if you would like to achieve the same via webclient UI, much more development are unavoidable.
1. in SPRO, define a new URL entity:

you have to fill the respective url of your webdynpro application to be embedded into this url entity. Below is how to find the url of your webdynpro application: just copy the highlighted one to the url configuration below:  2. Configure transaction launcher, follow the steps defined in wizard: Specify a handler class. It is not necessary that the handler class must exist before this wizard is launched, the wizard will automatically generate it for you.  You will need a UI Object Type to finish the wizard. You can either choose to reuse an existing one or create a new one via the customizing node below:  You can just specify the object type name and save it.   In the fourth step of the wizard, specify the URL id created in step1. Complete the wizard. 3. use tcode CRMC_UI_NBLINKS, locate the navigation profile of your business role, say TPM-PRO,  and double click on “Define Logical Links”. Choose type “Launch Transaction” from drop down list, and for target ID use the fixed one EXECLTX. Choose the launch transaction created in step3 as Parameter, and for parameter class choose the class below. Maintain a meaningful description. 4. Now you should determine from which entry point in CRM UI could launch your ABAP webdynpro component. For example you would to add a new logical link in business role TPM-PRO, work center Master data as screenshot below:  You should first identify the technical name of Work center “Master Data”: Choose business role TPM-PRO, and double click on “Adjust work centers”, and technical name “MD-ALL” is identified.  Next step you should find out the technical name of logical link group where you can embedded your ABAP webdynpro component: Choose entry for MD-ALL, double click on “Assign Work Center Link Groups To Work Center”: Then MD-PRD-SR is what we look for. 5. Define a new logical link: Assign the logical link ID to the logical link group: Go back to “Define Business role”, enable the checkbox “In Menu” and “Visible”: After all configuration is done, once click the logical link, you can see the ABAP webdynpro in the CRM UI: The area marked with blank rectangle is the ABAP webdynpro UI.

 

 

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AI Crushing Best Poker Players

While artificial intelligence (AI) programs have long dominated games such as chess and scrabble, they have made quite awful poker players. At the beginning of 2017, however, AIs finally proved their mettle at the game of poker. This is after an AI system known as Libratus beat accomplished human gamers in heads-up, no-limit Texas hold’em poker. This is a complex form of poker, which relies largely on long-term betting strategies and game theory. As such, this feat represents a positive development in the types of challenges AI can resolve.

Let’s have a deeper look at Libratus AI system.

Libratus AI System

Libratus is an AI system that runs on a Pittsburgh supercomputer designed by Mellon, Sandholm and Brown who target Libratus to have superior balance within its learning strategies.

These researchers first tried to play against some professional human players with a similar AI about two years ago; they lost, unfortunately. This time, however, they beat the human players, hands down. Namely, across 20 days of play, Libratus outdid its four professional human competitors by at least $1.7 million. All of the four human players finished with a negative number of chips.

AI Using Multiple Technologies

Libratus depended on three different systems, which worked together. Modern AI is driven by a number of technologies; not just one. The defeated human players pointed out that Libratus had its act together. It did a little bit of everything perfectly. Namely, it knew not only when to bluff, but also when to bet low with good cards.

With the help of an algorithm known as counterfactual regret minimization, Libratus began by playing at random. In the end, after some months of training and over a trillion hands of poker, it reached a level where it could play in ways humans couldn’t. It could play a vast range of bets and randomize them so that competitors don’t have an easy time guessing what cards it holds.

AI Going beyond Human Comprehension

According to one of the players defeated by the AI system, Libratus split its bets into a number of different sizes, something no human can be able to do. In fact, the human players believe that Libratus’ game changed every day. Whenever they felt they had a clue in the machine’s strategy, everything would change.

Do you think that the machine’s designers changed the AI system between rounds? If so, was it fair?

If that really happened and it sounds unfair to you, you should realize that the human players also applied every trick at their disposal. While every player played his own game against Libratus, they shared tactics. You know why?

One of the players pointed out that while they were playing against one another, they were also rooting for humans’ victory.

The Significance of Libratus AI System

Poker may be just game, but the game theory displayed by Libratus may be applied in other fields such as financial trading, political negotiations, auctions, among other potential sectors. A machine that understands this kind of complex poker simulates the kind of human intuition these tactics require.

Libratus has the potential to be so much more based on its application use. Based on this data, AI could predict people’s habits as well as steer the world out of poverty given enough time.

Conclusion

Artificial Intelligence in the past has been a poor poker player, but it eventually proved its ability at the game after beating four accomplished human players. This added to the number of challenges AI can solve, and the future looks bright for what AI can accomplish. http://bit.ly/2zfhGl7 #SAP #SAPCloud #AI