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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

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Apache Kafka Deployments and Systems Reliability – Part 1

Cloudera

In Part 1, the discussion is related to: Serial and Parallel Systems Reliability as a concept, Kafka Clusters with and without Co-Located Apache Zookeeper, and Kafka Clusters deployed on VMs. . Serial and Parallel Systems Reliability . Serial Systems Reliability. Serial Systems Reliability.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

The absence of such a system hinders effective knowledge sharing and utilization, limiting the overall impact of events and workshops. Reviewing lengthy recordings to find specific information is time-consuming and inefficient, creating barriers to knowledge retention and sharing.

Media 87
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Improved Alerting with Atlas Streaming Eval

Netflix Tech

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late!

Metrics 122
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The Importance of Records Management in an Era of Compliance and Digital Efficiency

Newgen Software

Physical boxes or file cabinets hold paper records atan office or a storage facility. Onthe other hand, the physical documents can be stored in off-site, on-site, or cloud storage media. Access control : Effective recordkeeping systems help organizations manage who can see certain types of information. billion in 2025 to USD 19.81

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Apache Ozone and Dense Data Nodes

Cloudera

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance.

Data 101
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Scaling Media Machine Learning at Netflix

Netflix Tech

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.