Tag: ai

From sensors to AI, 5G and the future of mobility, CES 2020 made it clear that partnerships are necessary for how we will build a connected future, personalized wellness is becoming a need to have instead of a nice to have and AI is becoming less of a buzzword and more of an actuality.

The increasing number of vehicles on the road, along with the mismanagement of available parking space, leads to parking-related problems; thankfully, smart parking systems offer solutions.

AI is conquering all the spheres of our modern world. Not all these changes are beneficial, so it’s important to step back and evaluate the effects.

Unfortunately, some of the difficulties facing AI in cybersecurity can be exploited by hackers. AI can be used for IoT security, or it can be used against it.

Veego introduces its first AI-embellished, home router-resident Veego Agent for the continuous monitoring of device and service behavior while autonomously detecting, analyzing and resolving malfunctions and behavior anomalies as they occur.

Bianca Ferri, a data scientist at SparkBeyond discusses the role AI plays in the future of technology, and why this intelligence must be accessible to those who want it.

CUJO AI, the global leader in the development and application of artificial intelligence to improve the security, control, and privacy of connected devices, today announced the launch of Lens, a breakthrough network analytics product. For the first time in the industry, network operators can obtain granular, dynamic, and near real-time actionable insights about how customers use their home or business networks.

ShieldIOT, a leading Internet of Things (IoT) cybersecurity software company, today announced that it had raised $3.6M in a Series Seed funding round.

Manufacturers often view AI as highly complex and expensive, requiring end-to-end systems throughout their whole company to work properly. The reality is, AI is much more focused and achievable. It can work on factory floors with minimal construction and get connected to machines via the Industrial Internet of Things (IIoT). With this article, the author presents key advice and three scenarios for how manufacturing intelligence has been used in real settings.

On this IoT For All podcast episode, Dr. Roger Brooks, Chief Scientist at Guavus, defines artificial intelligence (AI), Machine Learning (ML) and Machine Intelligence (MI) and how each of these impact whether or not an IoT solution is successful.