Taking the Complexity Out of Payments With Real-Time Processing
Adopting real-time processing without simplifying the underlying payment infrastructure is a missed opportunity to take out cost and harness the power improved …
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.
Real-time Analytics News Roundup for Week Ending September 5
Rolls-Royce develops an AI ethics framework and trust process, a UK consortium aims to bring quantum computing to the enterprise, and more.
Reality Check: Barely One in 10 Companies Have Advanced Technology in Place
While advanced technology adoption may seem pervasive, many businesses may still be relying on simple PCs, or even pens and paper, to get work
Real-time Analytics News Roundup for Week Ending August 29
Deloitte announces its Trustworthy AI framework, the NSF establishes new AI institutes, the Department of Energy funds five quantum information science …
Researchers Improve Robot Gesture Recognition With Computer Vision
The high accuracy is due to the fact that the visual and somatosensory information can interact and complement each other at an early stage before carrying out …
Adapt or Augment With Analytics? Business Leaders Need To Do Both To Drive Revenue and Performance
More companies are adopting AI-driven analytics tools that cut through the clutter of business data and offer a better view into behaviors that are truly …
Georgia State Deep Learning Framework To Explore Human Brain
The framework, called Nobrainer, can critique its own analysis and tell scientists when it is likely to be
Machine Learning Improves Hurricane Forecasts
Alongside improving the overall accuracy of hurricane warnings, the machine learning model may be better at providing real-time details on the hurricane’s …
MIT Researchers Develop AI System That Defers to a Human Collaborator
The human-AI hybrid model performed eight percent better than either the human or AI could on their
How AI and Machine Learning Can Revolutionize Drug Safety Monitoring
The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language