3 Inconvenient Truths about AI and ML
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable
MIT Researchers Create AI Code Prediction Tool
The new tool uses a machine learning neural net and is said to be up to 50 percent more accurate than hand-crafted models.
Industry Leaders Make 2020 AI Predictions
The industry is already booming but is still rather unstructured. We may see better frameworks and solutions come from companies, as it
Google Rises to AI Explainability Challenge
As more AI models are built and deployed, organizations will need to continuously document how each update changed the model's
Act Now to Prevent Regulatory Derailment of the AI Boom
If businesses do not adopt their own best practices in addressing AI transparency and bias issues, they may not have a choice in the
Real-time Analytics News Roundup for Week Ending December 14
In the news this week: enhancements to a mainstay DBMS, a merger between two enterprise AI companies, the next generation of a virtual beauty recommendation …
Not Sure What Your AI Is Doing? Google Will Explain
Google Explainable AI is a new set of tools and resources to help developers better understand model behavior and detect and resolve bias, drift, and other …
Data Annotation Feeds the AI Beast
The demand for AI-enabled applications that deliver increasingly refined results is driving the need for high-quality annotated data to train AI
AI Redefines the Job Market, Up and Down
A recent report out of Brookings Institution finds, contrary to conventional wisdom, better-paid, better-educated workers face the most potential exposure from …
AI’s Empathy Problem
AI analysis may identify certain emotional traits, without providing a more holistic perspective on the person exhibiting those