3 Predictions for the Data Transformation Market
As data access to different types of data has become much easier, transforming that data to create a cohesive view is the logical next step for businesses to accomplish.
RTInsights 2022: A Look Back at the Year’s Top Stories
Major themes that persisted throughout the year included applying analytics to supply chain problems, mainstream use of AI, and infrastructure to access data.
Real-time Analytics News for Week Ending December 10
In this week's real-time analytics news: Argo has graduated from CNCF Incubator project status, joining the ranks of other efforts, including Kubernetes, Prometheus, and Envoy.
A Primer Into Generative Text-to-Image Systems
Text-to-image systems are the hottest AI trend of 2022 and we expect them to make inroads commercially in the next year, as more become public available.
Key Considerations for Taking Real-Time Data Analytics to the Cloud
Businesses should optimize their cloud architectures to deliver the continuous analytics that are fundamental to ongoing operational efficiency and commercial success.
The State of Artificial Intelligence, 2022
The latest artificial intelligence code research these days is quickly translated by big tech and startups into commercial developer tools.
ODSC West 2022: Ops Focus Emphasizes the Move to Production Systems
ODSC brought renewed attention to the need for operationalized data processes when using advanced analytics, machine learning, or artificial intelligence.
Google Announces 1,000 Languages AI Initiative
The project is a step forward from Google’s current language model that supports 400 languages, and is aimed at preserving some of the languages that are spoken by less than one million people and may be in danger of extinction in the next few generations.
On the Edge: Mobile Clouds Need High-performance Storage
Many industries must capture and analyze data in remote environments. The cloud must have the ability to venture out of the data center and operate where data lives: At the Edge.
Retail is the Ultimate Testing Ground for AI/ML
The complexity of retail is begging for more investment in AI/ML to determine how much it can improve the way companies interact with customers and each other.