Using AI and ML to Extract Actionable Insights in Edge Applications
If data starts at the Edge, why can't we do as much as possible right there from an AI point of view?
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.
FICO’s chief analytics officer writes that as criminals start to learn our AI systems we must use defensive AI to thwart the bad guys.
Machine learning will allow sales and marketing software to do things without explicit instructions.
IBM aims to place its blockchain implementation at the center of a global food safety network, helping it achieve buy-in for its blockchain platform.