Data Science Based Optimization - AI Based Explanation to Decision Makers and Operating Staff

Data science based optimization could be an interesting area. Artificial intelligence could be used to simplify the results and explain the actions to be taken to implementing staff  or operating people.


data analytics & optimization - Integrated Systems Engineering
https://ise.osu.edu/sites/ise.osu.edu/files/uploads/Undergraduate/one-page-data.pdf

DATA ANALYTICS AND OPTIMIZATION APPLICATIONS
https://www.exascaleproject.org/activity/data-analytics-optimization-applications/

Inventory optimization headache and how to approach it with data science
How is your inventory optimization doing? At best, it needs a bit of improving. At worst, it is your headache. Anyway, in both cases, you may want to know the recent achievements in the field. And that’s what our data science team can show you in this overview of different approaches to inventory optimization.
https://www.scnsoft.com/blog/inventory-optimization-with-data-science

IBM Data Science Elite Team teaches decision optimization and more at Think 2019
Author: Tim Walker --> Jan 11, 2019

Data scientist Susara van den Heever describes herself as “someone who likes to solve problems using math.” As a practice leader within the IBM Data Science Elite Team, van den Heever gets lots of opportunities to solve problems for clients using her particular expertise in decision optimization, a key facet of prescriptive analytics.
https://www.ibm.com/blogs/business-analytics/data-science-decision-optimization-think-2019/

The Role Of Data Science - The role of data science is to enable data based decision making.

JeanFrancoisPuget -  Mar 20 2015
I like this definition from Dawen Peng, as it speaks to an Operations Research person like me.  I will rather focus on the role data science can have for business.  What I see the most is data scientists analyzing data then publishing reports on insights they found in data.  But reports on insights found in data aren't that useful to business.

What matters are actions and business decisions.  Without decisions, nor actions, business isn't impacted, hence no value is created. See for instance Seth Godin on analytics without decisions.  The conclusion is rather simple, data science value comes from the decisions and actions it enables:

The role of data science is to enable data based decision making.
https://www.ibm.com/developerworks/community/blogs/jfp/entry/the_role_of_data_science?lang=en



Welcome to the EURO working group on

Data Science meets Optimization (DSO)

The working group Data Science meets Optimisation Data Science meets Optimisation of EURO is a joint initiative of the CODeS group at KU Leuven and the ASAP group at University of Nottingham.

The DSO working group now has another website at euro-online.org. The information on this site will become obsolete during 2019. Please click here for the new site.
http://ds-o.org/