Credit rating organizations explore different approaches to understanding a flood of transaction information.
Enterprises have stalled in deploying AI to production, but platform investments from commercial providers may help them wrangle their open source models.
AI has been abused as part of disinformation campaigns, accused of perpetuating biases, and criticized for overstepping privacy bounds. Let’s address this.
An effective ML team is constantly evolving based on many different factors. Assess your specific needs and use cases before putting a team into action.
The mistakes and lessons learned early in the lifecycle of AI will serve all of us well in the future.
During a preview of CES 2020, Gary Shapiro spoke about finding a balance between legislation and leeway for technology implementation.
If this approach gains traction, it could have a disruptive impact on the standard practice of data science.
Machine learning is disrupting the mobile app development industry. Although mobile app developers have used machine learning in some way or another for years, they are finding new applications for it. Machine learning is particularly useful when it comes to avoiding many of the biggest mistakes that app developers make. The Growing Importance of Machine […]