San Francisco private equity house Gryphon Investors has completed a majority investment in Microsoft Azure cloud platSorry, you need to subscribe to read this article.If...
Epsagon, the applied observability platform for microservice workloads—containers, Kubernetes or serverless— announced cloud and container offerings that significantly expand its core platform for...
EfficientIP launched Cloud IPAM Sync, a new service that enables IT managers to improve control over applications hosted in multi-cloud environments.
Cloud IPAM...
Microsoft and SAS announced an extensive technology and go-to-market strategic partnership. The two companies will enable customers to easily run their SAS workloads...
Updated OpenAI has launched its first commercial service to generate income as companies generate, analyse, and process text using its machine-learning technology. This...
Brazilian card processor Conductor has selected ACI Worldwide’s UP Retail Payments and UP Payments Risk Management platforms as part of an expansion strategy...
Artificial Intelligence (AI) is broadly expanding in the market. Several AI startups and Artificial intelligence initiatives exist in the market.
In this digital era,...
Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against application-specific metrics (false […]
