Integrating Machine Learning, AI and BPM for real-time decision making

2017-09-18
Organizer: Triangle Java Users Group (TriJUG)
Click here for registration info

Summary: In this talk we'll look at how to use real-time machine learning to implement "decision services" which can then be used by BPM processes to automate decision making.


We will cover the two sides of the real-time machine learning "coin":

1. Training a model in real-time

2. Making predictions using our trained model.

Once we have the ability to train a model and make predictions using the model, we'll incorporate it into a decision service and use it to automate workflows using a BPM engine.

Note: This talk is heavily influenced by the literature on "Enterprise Decision Management" including the books "Smart (Enough) Systems" and "The Deciding Factor".

#machinelearning #realtime

Speaker: Phil Rhodes is Founder & CEO at Fogbeam Labs, and a long-time contributor to a number of different open source projects.  Phil has been a frequent presenter at Triangle area tech meetups over the years, including All Things Open, TriJUG, TriLUG, RTP Semantic Web Meetup, and more.  

Our host sponsor....Developer Zone!

THE DZONE BUILDING,

150 Preston Executive, Suite 200, Cary, NC 27513

in Conference Room to the right of the elevator (or across from the stairs)

Time Frame:

6:00 PM - 8:30 PM

Agenda:

6:00 - 6:30 PM -- Meet, Talk, Pizza

6:30 - 6:45 -- JUG Business and Announcements

6:45 - 8:00 -- Presentation

8:00 - 8:15 -- Discussion with Presenter

8:15 - Raffle

8:30 - Doors close

Admission is Free with a suggested contribution of $1.00 per person to cover expenses (mostly meetup fees).

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Poster: triangletech