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The Interplay of Experimentation and ML to Aid in Repayment of Micro-Loans in Sub-Saharan Africa
In this article, we look at the interplay of experimentation and ML to aid in the repayment of micro-loans, specifically in sub-Saharan Africa. Read on to understand the story that brought us to this understanding. Imagine that through a twist of fate,... Read more
4 Examples of Businesses Solving Problems with AI
In her talk at ODSC West 2018, “Reality Check: How Businesses are using Human in the Loop Processes to Drive Real Value,” Alyssa Simpson Rochwerger, the VP of Product at Figure Eight, explains how companies can begin solving creating value and solving problems with AI. [Related Article: Problem Solving... Read more
Watch: Using Data For Good
With Crisis Response and Disaster Maps, Facebook is providing real-time support to disaster response and aid providers—trying to use data for good. In this video from ODSC East 2018, Brandon Rohrer shares some examples of the information provided, the processing, algorithms and visualization methods behind it, and how the... Read more
Generating Neural Networks to Detect Alzheimer’s
AI is showing so much promise in the medical field. It’s an excellent example of how AI combines with human intelligence to create a “super brain” capable of predicting disease, uncovering patterns, and testing solutions for persistent problems. Precision Medicine is a medical nonprofit using this super combination of... Read more
How Entertainment and Social Media Giants are Using Machine Learning
Major names in social media didn’t get there by accident. In addition to their excellent products, marketing, and sales strategies, machine learning is a huge part of the backbone that makes many of their processes successful. Facebook, Twitter, among other names you’ve definitely heard of have become the powerhouses... Read more
Three Ways Researchers are Using Data Science for Good
Data experts have long identified marginalization and narrow-minded problem solving as some of the biggest challenges facing data science. When large technology enterprises only seek solutions to problems they face within their company and their communities, it exacerbates inequalities. But companies, nonprofits, and individuals across the globe are making... Read more
Innovators and Regulators Collaborate on Book Tackling AI’s Black Box Problem
AI’s Biggest Compliance Hurdle If you’re in data science, machine learning, or AI, you’ve probably heard of the “black box” problem. In short, it is the regulatory and implementation barriers caused by the un-explainability of sophisticated AI. Why are sophisticated AI systems so hard to explain? Because, for the... Read more
The Potential of Communities and Machine Learning for Good
For any technology to be successful, it needs to move from the early adopter market segment to the majority, i.e., crossing the chasm. Up until now, machine learning has been primarily in the hype phase and adoption has been mostly driven by the early adopters and innovators. I envision that... Read more
The term “data science for good” has been appearing on LinkedIn feeds, Twitter timelines, and RSS feeds for me a little more than usual recently. This is not a complaint by any means; rather, it’s refreshing to see that many data scientists and others involved in data are becoming... Read more
Key Takeaways about using Data Science for Good: Facebook is working hard on ways to use data science for good to solve big problems. Using data generated by the ‘safety check’ and ‘community help’ functions on the platform, Brandon Rohrer and his team have helped create disaster maps to... Read more