The AI Infrastructure Alliance is developing a canonical stack for artificial intelligence and machine learning, bringing together a number of vendors, …
Retailers moving to cloud need a database that addresses infrastructure performance and reliability issues, as well as connectivity to legacy systems.
Adopting real-time processing without simplifying the underlying payment infrastructure is a missed opportunity to take out cost and harness the power improved …
Companies that can leverage services that offer flexibility and adaptability are more likely to find success and create value in new
In the news this week: IDC defines an interoperable framework for AI infrastructure stacks, digital twins get some attention, and more.
Many businesses use container-based microservices architectures to develop AI. The container orchestrator Kubernetes can help with management and
By some estimates, collecting, curating, and tagging data accounts for about 80% of the effort in modern AI projects.
Infrastructure spending specifically to train machine learning models has grown more than 50 percent year-to-year over the past two
AI anywhere is taking hold as companies need to quickly evaluate data to influence smarter business decisions and remain
Continuous intelligence analytics solutions are platforms that ingest streaming data, perform analytics, and embed code, machine learning models, and rules to …