A Computational Approach to Daily Life Utilizing Wolfram Tools outside of Work

Mathematica and the Wolfram stack are well-known tools within professional settings from academia to the private sector. Career scientists, mathematicians and data analysts are accustomed to coding in the Wolfram Language and using the related cloud capabilities in their regular workflows, but how can these tools be leveraged to make life outside the office easier and more efficient? This presentation will explore ways the SDGCounting team has taken concepts and approaches from our collaborative work and applied them to find solutions needed in daily life. Practical examples include:
Examining how machine learning code not only helps predict life expectancy in developing countries, but also makes shopping for a loved one easier.
Utilizing scheduled tasks and databins to identify newly published reports while also helping your children learn about financial responsibility.
Publishing online forms that provide intuitive access to complex assessments and also serve as a simple tool to track daily observations.
Importing web-based data for cross-source analysis while using the same tools to simplify family decision making.
Tapping into APIs and ServiceConnects for work-related functions while also simplifying your own social media presence.
Applying data classification and summarization tools to both work-related subjects and personal interests.
By starting with work-related examples, our team has developed approaches that have applications within daily life that we utilize regularly and look forward to sharing.

[NightmareCourtPictures]

this is wild lol

I should try something like this.