Salvatore Salamone

Businesses moving data into and out of cloud platforms often lack insights into data quality, utilization, costs, and more. Here, we interview Acceldata’s Tristan Spaulding where we discuss the need for and benefits of data observability in such environments.

In this week’s real-time analytics news: Accenture is with Mars to modernize its global manufacturing operations with AI, cloud, edge technology, and digital twins.

In this week’s real-time analytics news: Qlik strengthened its partnership with Databricks expanding the ability of customers to leverage the cloud.

NVIDIA introduced the NVIDIA IGX platform for high-precision edge AI, bringing advanced security and proactive safety to sensitive industries such as manufacturing, logistics, and healthcare.

In this week’s real-time analytics news: A paper by Arm, Intel, and NVIDIA describes a specification to provide a common interchangeable format for both artificial intelligence (AI) training and inference.

In this week’s real-time analytics news: Canonical announced Charmed Kubeflow 1.6, an end-to-end MLOps platform with optimized complex model training capabilities.

Gartner predicts that conversational AI will reduce contact center agent labor costs by $80 billion by 2026.

In this week’s real-time analytics news: Teradata announced a complete cloud analytics and data platform, now with next-generation, cloud-native deployment and expanded analytics capabilities.

A hybrid cloud approach lets businesses essentially pick and choose the various aspects of their analytics and ML workloads that they want to keep on-premises and which they want to run in the cloud.

In this week’s real-time analytics news: The Linux Foundation and the World Bank released a free, online quantum computing training course to provide an understanding of how the technology could be used for complex decision making.

IBM’s Matt Roberts discusses the factors driving the demand for integration, common obstacles to success, and how the right integration technologies complemented with AI can help.

Organizations need an easy, scalable, and secure way to integrate many data sources across hybrid environments. A suitable solution must support enterprise messaging, event streaming, high-speed data transfer, and more.