AI Can Help Networking Staff Work Smarter
AI will help NetOps keep ahead of changes and help them to lead others through them.
Topic: Machine Learning
Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
QA Increasingly Benefits from AI and Machine Learning
While the human element will still exist, incorporating AI/ML will improve the QA testing within an
Real-time Analytics News Roundup for Week Ending November 28
In the news this week: A bevy of partnerships to bring artificial intelligence (AI) and machine learning (ML) to medical applications, and
Real-time Analytics News Roundup for Week Ending November 7
The Pope weighs in on AI, Amazon Web Services rolls out instances based on next-gen GPUs, software and tools make access to quantum computing easier, and more.
The Cloudy (Stateless) Edge and Edgy (Real-time Data) Cloud, Powered by 5G
The company that monetizes the data exhaust created by 5G through AI/ML-powered feedback loops will become the next
Researchers Teach AI to Recognize Neurons
Researchers hope to create a proper training database to allow AI to take over neuron identification by using topological data
IBM Takes AI Chip Research to Next Level
IBM is developing a processor to improve system efficiency by combining compute and memory in a single device overcoming what is known as the Von Neumann …
Emotion & Data Combine to Improve the Personalized Customer Experience
Machine learning is the only way to deliver personalized customer experiences at scale, which spark emotion because those are the experiences that resonate.
Real-time Analytics News Roundup for Week Ending October 17
A roadway intelligence platform for city, state, and county government agencies; numerous partnerships that bring intelligence to business processes, and more.
New Algorithms Could Transform Drug Trials by Predicting Side Effects
The algorithms have the potential to improve patient outcomes and reduce the need for new trials to reassess missed side effects during the first clinical …