Real-time Analytics News Roundup for Week Ending August 22
Microsoft offers high-performance AI virtual machines plus news from Boomi, Hazelcast, Neo4J, Yellowbrick Data, VMware, Red Hat, and more.
Microsoft offers high-performance AI virtual machines plus news from Boomi, Hazelcast, Neo4J, Yellowbrick Data, VMware, Red Hat, and more.
Posted by: Salvatore Salamone Editor in Chief Exploring Artificial Intelligence Variants and Their Uses Artificial intelligence (AI) refers to the simulation of human intelligence in systems that are programmed to think like humans and mimic their actions. AI includes a broad range of technologies including cognitive computing, deep learning, expert systems, machine learning, natural language […]
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
If data starts at the Edge, why can't we do as much as possible right there from an AI point of view?
AI swarm systems draw input from individual people or machine sensors and then use algorithms to optimize the overall performance of the group in real time.
Additional Resources Learn More About Center for Edge and IoT The Internet of Things, new compute options, and emerging services based on 5G and other technologies make Edge ripe for innovative applications. What is Edge Computing? Sponsored by In partnership with Video: Building the Store of the Future Today Edge solutions can help retailers control […]
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
Additional Resources Learn More About Center for Edge Computing As innovation sparks growth in the Internet of Things across industries, edge computing becomes the backbone to make this growth possible. Sponsored by Why Edge Computing Can Help IoT Reach Full Potential The edge is where data gets generated, events occur, things and people interact. The […]
Streamlio's co-founder and chief product officer talks about the next generation of stream processing and working with Apache.
Businesses face two major AI staffing issues: Many engineers graduated before AI became a subject of study and younger AI enthusiasts don't yet have needed experience.