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From Richard Hirsch <hirsch.d...@gmail.com>
Subject Re: Collaboration with Akibot
Date Wed, 25 Nov 2009 08:06:54 GMT
I've started a separate wiki page with detailed information about this
initial use case:
http://cwiki.apache.org/confluence/display/ESME/Akibot+Use+Case+description

This page can be used for more detailed technical discussions.

D.

On Wed, Nov 25, 2009 at 8:51 AM, Richard Hirsch <hirsch.dick@gmail.com> wrote:
> @Marcelo:
>
> What about using this initial use case as a first step in a
> collaborative process?
>
> The idea would be to establish various iterations so that we don't
> have to tackle everything at once.
>
> The first step would be to leave the akibot configuration exactly as
> it is right now and we just try to get ESME to use the Akibot REST
> API. Once we've accomplished this, we could start changing the akibot
> configuration  (contextual analyzer, etc.) to be more ESME-specific.
>
> D.
>
> On Wed, Nov 25, 2009 at 7:38 AM, Marcelo Pham <marcelo@akibot.com> wrote:
>> Hi everybody,
>>
>> Thanks Martin and Dick. My name is Marcelo, I'm the head developer of Akibot
>> and thank you for having Akibot in mind for the ESME project, we feel proud
>> to involved with this community and happy to help in any way we can.
>>
>> I posted today in the wiki a proposed messaging protocol layout and we're
>> working on improving the documentation and following API ESME format for
>> incoming messages.
>>
>> A few things:
>>
>> -Akibot used to be hosted in GAE but it is not anymore. Due to database
>> limitations (GAE uses BigTable which has a lot of limitations for
>> performance purposes) we walked out of GAE and are now in the Rackspace
>> cloud, which allows us to expand vertically and horizontally quickly and
>> easily. We had to migrate the whole code and database, but fortunately we're
>> done with it. We were able to keep some of the interface with Google (Google
>> Docs for now)
>>
>> -Use case: we're working on a couple of real life scenarios and wanted to
>> share a few use cases. Here goes the first one, if you follow this use case
>> with the diagram I posted in the wiki, it will be a lot easier to understand
>> and follow:
>>
>> One of our beta testers is an online retailer, one of the biggest for baby
>> products. They carry 20k+ products and their sales, marketing and purchasing
>> processes are very fast paced.
>> Their main groups are the Sales/Marketing group and the Purchasing group.
>> They both use their microblogs to chat about day to day issues.
>>
>> 1. One of the Purchasing employees posted this in the Purchasing micro-blog
>> group:
>> "@victoria I just ordered 3,000 more G70" (G70 is an item "Kidco fireplace
>> gate").
>> to let his boss know that he ordered what they discussed some days ago.
>>
>> 2. Akibot picked up the conversation and understood that 3,000 G70 were
>> ordered (through the contextual analyzer)
>>
>> 3. Akibot inquired the purchasing history for G70 (through an ERP feed) and
>> noticed that this was an unusual quantity (through the directive processor)
>>
>> 4. Akibot then called up another application that inquiries the price for
>> G70 in Amazon and other online retailers (through the directive processor as
>> well)
>>
>> 5. Akibot found that Toys'r'us is selling G70 cheaper (through the directive
>> processor as well)
>>
>> 6. Since Purchasing just ordered more G70, and competitors are selling it
>> cheaper, there will be a problem!
>>
>> 7. Akibot posts back a message alerting the Sales group:  "Purchasing just
>> ordered 3,000 more G70. We're selling it at $194.99, the competition at
>> $184.99 (Toysrus)"
>>
>> 8. Sales will contact Purchasing, and either they lower the price or cancel
>> the purchase order
>>
>> This "reasoning" that Akibot has, is through directives. This use case above
>> is one directive. Akibot comes with standard directives and you can add
>> custom directives ("teach" him). These directives can be shared by other
>> companies using Akibot, so the more companies use Akibot, the more Akibot
>> learns...
>>
>> Hope this helps understand Akibot behavior a little bit better and how it
>> can help companies. Not sure if we should include this in the wiki... and I
>> can give more use cases if it helps more... please let me know
>>
>> Thanks again and have a great day!
>>
>>
>> Marcelo
>>
>>
>> On Nov 24, 2009, at 3:41 AM, Richard Hirsch wrote:
>>
>>> Martin Böhringer from #ubimic introduced me to Marcelo Pham who is the
>>> CEO from Akibot.
>>>
>>> Akibot is the first semantic actionable micro-blogging platform for
>>> the enterprise. Akibot not only allows real-time group collaboration
>>> and awareness through short, instant messages (like a Twitter for the
>>> company), but it also understands those messages and, if applicable,
>>> takes action.
>>>
>>> A good description is provided by a ReadWriteWeb blog (
>>>
>>> http://www.readwriteweb.com/archives/akibot_an_enterprise_twitter_clone_infused_with_ai.php
>>> ).
>>>
>>> What intrigued me about akibot was the semantic analysis of
>>> microblogging messages.
>>>
>>> The basic idea is that akibot functionality can complement existing
>>> ESME functionality. We (the ESME community) aren't able to do
>>> everything.  We should look for partners who will work with us to
>>> further establish microblogging in the enterprise.
>>>
>>> I've started a wiki page to describe the collaboration (
>>>
>>> http://cwiki.apache.org/confluence/display/ESME/Collaboration%20with%20Akibot
>>> ) and would appreciate any thoughts on this new collaboration
>>>
>>> D.
>>
>>
>

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