Real-time Analytics News for the Week Ending September 16
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.
Supercharging Business Innovation with Automated Data Pipelines In an ever-evolving global economy, businesses are in a continuous race to harness data as a powerful propellant for innovation. Despite this, prompt and efficient data delivery remains a formidable challenge. The construction, scalability, and maintenance of essential data pipelines are complex, tedious, and alarmingly error-prone. Data engineers […]
In this week's real-time analytics news: IBM announced plans for new generative AI foundation models and enhancements coming to watsonx.
Vendor-agnostic cloud cost monitoring and optimization (CCMO) tools can simplify monitoring across public and private clouds.
Scaling microservices with Kubernetes is a powerful approach to meet the growing demands of modern applications.
In this week's real-time analytics news: Deloitte teams with Google Cloud and IBM with Microsoft to help users deploy generative AI.
A look at some key requirements for retaining unified, holistic visibility of workload automation while contending with an expanding cloud footprint.
Is modern infrastructure up to the job for a real-time economy? Maybe. Two studies come to different results.
In this week's real-time analytics news: NVIDIA continued to expand its AI efforts with the announcement of the NVIDIA AI Workbench.
In this week's real-time analytics news: AWS announces new compute instances ideal for running batch processing, microservices, and more.