Displaying items by tag: Amazon SageMaker

The Commonwealth Bank says using Artificial Intelligence to help protect its customers has reduced fraud by 30% and seen a 50% reduction in scam losses. 

Published in Data

Customers like AppFolio, Cash App and andsafe leverage Datadog to monitor their AWS environments

Published in Data

COMPANY NEWS: Sysdig, a leader in real-time cloud security, today announced the extension of AI Workload Security to Amazon Bedrock, Amazon SageMaker, and Amazon Q. In a world where security teams are challenged with staying ahead of attackers, AI workloads containing massive amounts of sensitive training data are ripe targets. AI Workload Security, an extension of the Sysdig cloud-native application protection platform (CNAPP), identifies and manages active AI risk giving security teams greater visibility into their environments, real-time identification of suspicious AI workload activity, and vulnerability prioritisation powered by real-time runtime insights.

Published in Company news

COMPANY NEWS: UiPath, a leading enterprise automation software company, today announced a new Integration Service Connector that gives customers access to Amazon Bedrock, a fully managed service that provides access to industry-leading foundation models (FMs) via an API to build and scale generative AI applications.

Published in Company news

Data Futurology is hosting a free webinar titled Accelerating MLOps with Amazon Sagemaker on Tuesday 26 July at 11:00am AEST.

Published in Development

COMPANY NEWS: Teradata (NYSE: TDC) today announced the integration and general availability of Teradata Vantage multi-cloud data and analytics platform with Amazon SageMaker, the industry’s most complete end-to-end machine learning (ML) service. By uniting the scalability and openness of Vantage with the intuitive ML model capabilities of Amazon SageMaker, Teradata and Amazon Web Services (AWS) are solving the scalability dilemma for enterprises worldwide.

Published in Company news

Pizza chain Domino’s Pizza has partnered with machine learning solutions vendor Max Kelsen to develop a ‘cognitive rostering’ solution that it says significantly improves the way it rosters its 20,000 team members across 800-plus stores in Australia and New Zealand.

Published in Deals

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