Real-time Analytics News for Week Ending July 24
In this week's real-time analytics news: Google Cloud previews its Healthcare Data Engine that harmonizes many types of medical data from different sources.
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.
Monitoring vs. Visibility vs. Observability vs. Telemetry
Do words like visibility, observability, and telemetry add anything valuable to discussions about monitoring? To a degree, they certainly
The Next Wave of Covid Detection: Facial Scanning
The facial scanning technology moves away from individual monitoring and instead focuses on ways to test for the virus before someone receives a
How Voice Technology is Improving Accessibility
By embracing voice technology, organizations can improve diversity and inclusion practices for employees, customers, and other organizational
Covid Pushed Manufacturers even Deeper into the AI Realm
Manufacturers will turn to smart factories and offices, allowing critical functions to be monitored remotely or, at a minimum, by fewer
Erasing Driver’s Distraction with Head Pose Detection
Head pose detection can be a gamechanger in assessing driver distraction. It can convey volumes of information about the driver.
The Next Step for Enterprises: Optimization Transformation
Organizations are applying prescriptive analytics to power digital transformation, decision optimization, and competitive
Real-time Analytics News for Week Ending July 17
In this week's real-time analytics news: Hazelcast announced the Hazelcast Platform, a single platform for transactional, operational, and analytical
New Patent Highlights AI Significance in Cutting-Edge Healthcare
Applications based on the patent will allow both practitioners and users the chance to scale and customize based on health
NVIDIA Announces Hybrid Cloud Program for AI Deployment
The unified approach taken by NVIDIA ensures that companies have support for AI initiatives through an end-to-end hardware and software