6Q4: Demetrios Brinkmann, on the role of community in solving MLOps’ greatest challenges
In part two of this series, Demetrios Brinkmann, MLOps Community’s Head of Community and the MC of Tecton’s apply(conf) event, shares his perspectives on …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Real-time Analytics News for Week Ending May 21
In this week's real-time analytics news: Red Hat rolled out enhancements to its developer tools to speed the creation of Kubernetes-based applications.
How Online Retailers Use AR to Enhance Profits
Brands like IKEA and Nike first laid down the foundation of AR in eCommerce, but now the technology has found more applications in other niches.
How IoT is Changing the Future of Cruising
As the world continues to open for travel, cruise industry leaders are looking to leverage the next wave of travel technology to improve the passenger …
Putting More Intelligence into Business Intelligence
Analytics, augmented by artificial intelligence, offers a means to deliver self-service business intelligence (BI)
Working at the Edge: Bringing the Power of Analysis Closer to Man and Machine
As the 5G market matures, we expect astronomical growth in the volume of data residing at the Edge – offering more informed decisions leveraging real-time, …
A Dynamic Duo: 5G and Software-Defined Networking
5G and software-defined networking together promise to make the real-time digital factory a working
Underwater IoT Revolutionizing Water Management
Underwater IoT sensors can provide data-driven insights to plan ahead and notice subtle characteristics in our environment that—in the past—we may have …
Real-time Analytics News for Week Ending May 14
In this week's real-time analytics news: Red Hat made numerous announcements related to automation, cloud, edge, and Linux at its annual Red Hat Summit event.
How Wide Data, Not Big Data, Provides More Prescriptive Recommendations
For companies to effectively use their data for AI for predictive purposes, a variety of data, and especially wide data, must be