Log4j, Like COVID, is Endemic and Still Requires Attention
Observability is needed to help identify where Log4j is used and minimize any potential impact it may have until the software component is updated.
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Observability is needed to help identify where Log4j is used and minimize any potential impact it may have until the software component is updated.
Global hybrid cloud infrastructures make it all the much harder to protect data. Organizations are looking to AI-based approaches that give them insights to …
By automating claims processing, onboarding, and underwriting, traditional insurers can see big gains when it comes to competitiveness and customer retention …
AI-infused data governance needs to become a core part of the enterprise toolset to counter content chaos and carefully manage information risk.
In this week's real-time analytics news: AWS announced three new serverless analytics
Due to the complexity of modern apps, the industry is undergoing a shift away from separate network and application monitoring tools towards
In this week's real-time analytics news: As expected, few announcements were made during the holiday week. But what’s important is quality, not quantity.
Continuous availability and optimized performance are essential today. One way to ensure both is through the use of observability complemented with
Researchers have retrofitted an AI tool originally developed during COVID that used edge elements and deep-learning object detection to calculate pedestrian …
Deploying AI applications at the edge with 5G has the potential to generate new revenue sources in manufacturing, putting the industry at the forefront of …