Earlier this month, we had the first meeting of the AI and ML working group
led by Lalit Mohan.
One of the outputs from this initial meeting was some roadmap items for our
vision for AI for All as well as areas of standardization that could be
achieved.
The items to be worked on include:
AI for All Roadmap
-
1. How to democratize data while keeping privacy and stability
-
Documentation & guidance on understanding what to look for in data
-
Documentation on different use cases for AI for financial services
-
Documentation of which algorithms to use for which use cases
-
Document metrics for testing and accuracy of data models
-
Tools for capturing and anonymizing data.
-
2. Standardization and Recommendation of what tools to use on which
platforms
-
Both cloud and on-prem standardization of APIs and Calls and Usage of
Libraries
-
3. Stand-alone tools and libraries that can be deployed
-
Shared machine learning models on regional data sets, etc.
-
4. Make tools flexible and easy to configure
-
Reduce dependency on technology team by increasing usability from end
user perspective i.e. flexibility of dragging and dropping data sets.
-
Key emphasis on explainability
We welcome members of the community to join the AI & ML working group at
https://discourse.mifos.org/g/AI-ML
or to attend the next meeting on September 25 at 1400GMT.
A recording from this first meeting can be found here:
https://us02web.zoom.us/rec/share/UCyzXRkDfVzcd3M0H8cv4uWt063mWM1PqWu89UwvKYBNnUfFKS0SOA6lvq1V8Nnn.3bvULCOkF9XHAdtG
--
*Ed Cable*
President/CEO, Mifos Initiative
[email protected] | Skype: edcable | Mobile: +1.484.477.8649
*Collectively Creating a World of 3 Billion Maries | *http://mifos.org
<http://facebook.com/mifos> <http://www.twitter.com/mifos>