What’s Inside the “Black Box” of Machine Learning?
Machine learning can optimize business decisions, but the decision reached by an algorithm often isn't
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Will IBM’s ‘Watson For Everyone’ Approach Work?
Will IBM's freemium model for cognitive computing
Building a Better Recommendation Engine With a Cognitive API: Microsoft’s Approach
A cloud-based API from Microsoft Cognitive Services is designed to offer a better recommendation
The $1 Trillion Deep Learning Race for Smarter Cars
To learn to drive like a human, driverless cars will require massive amounts of data, programming, and computing
Is Marketing the Clearest ROI Path for Artificial Intelligence?
AI technologies have clear value paths in marketing, including sales and enhancing customer
How Cognition-as-a-Service Could Change Business Intelligence
Cognitive computing services might include everything from predictive maintenance to customer experience and medical diagnoses. But there's a skills
On the Road, At Your Service: Watson IoT
Traffic and entertainment recommendations, weather, and a car that orders coffee will be part of a personalized driving experience that uses artificial …
How Machine Learning Helps With Fraud Detection
Fraud detection with machine learning requires large datasets to train a model, weighted variables, and human review only as a last defense.
Why AI Will Become an Essential Business Tool
In some use cases, it is impossible for humans to replicate the performance of artificial intelligence. But businesses will need a lot of data for AI systems …
Boom! IBM Goes All In With Watson IoT
Company announces $200 million investment in world IoT headquarters, a blockchain service, and strategic