How Privacy Trends Will Shape the Next Decade of IoT
The governing regulations over the use of data and who has access to it will change the landscape of how we move about in the online world.
The governing regulations over the use of data and who has access to it will change the landscape of how we move about in the online world.
Future adoption of CI will require expertise in predictive analytics and AI. The anticipate explosive growth in the adoption of predictive analytics will give businesses the experience with such sophisticated analytics methods.
The groups plan to address IoT security challenges and provide pathways to innovation and smarter, safer digital adoption.
In the news this week: a data analytics solution is certified to meet security and compliance requirements, a smart sensor company joins an open system architecture consortium, an IT solutions provider commits to digital twins, and more.
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable realities.
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
AI is an integral part of Digital Process Automation, and the potential of AI optimizations for on-chain (Blockchain transactions) and off-chain data (IoT, customer, etc.) are tremendous.
CI based on analysis of sensor and IoT data can help spot state changes in devices and make predictions about an asset's failire probability.
A recent report out of Brookings Institution finds, contrary to conventional wisdom, better-paid, better-educated workers face the most potential exposure from AI.
Geolocation, private area networks, and travel industry asset tracking are among the new offerings coming to their IoT services.