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
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
For companies to effectively use their data for AI for predictive purposes, a variety of data, and especially wide data, must be
In this week's real-time analytics news: Google Cloud announced the launch of two new solutions that enable manufacturers to improve visibility from the …
Quantum computing has the potential to accelerate sophisticated and data-intensive applications, delivering results faster than a traditional
Given the evolving global landscape, the State Department needs data-driven insights just as enterprises get with real-time analytics.
5G and edge initiatives are typically part of broader enterprise-wide digital transformation
In this week's real-time analytics news: HPE launched HPE Swarm Learning, a privacy-preserving, decentralized machine learning framework for the edge.
IBM Cloud Pak for Integration can help insurers quickly and effectively integrate weather data into their business processes to mitigate risk and deliver …
Early adopters are fusing and analyzing their massive geospatial and time-series data in real-time to support new application areas.
RTInsights editor Joe McKendrick and Sumo Logic CTO and Co-Founder Christian Beedgen discuss the changing requirements for meeting the availability and …
In this week's real-time analytics news: AWS announced the general availability of AWS IoT TwinMaker, which helps developers build digital twins of real-world …