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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

Amazon QuickSight powers data-driven organizations with unified (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries.

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Deploying Gen AI in Production with NVIDIA NIM & MLRun

Iguazio

Then, we show how to use NVIDIA NIM with MLRun to productize gen AI applications at scale and reduce risks , including a demo of a multi-agent banking chatbot. Ensuring data security, lineage and risk controls. When developers and data scientists need a gen Al app/tech playground. What is a Gen AI Factory?

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6 benefits of data lineage for financial services

IBM Journey to AI blog

Increased data pipeline observability As discussed above, there are countless threats to your organization’s bottom line. That’s why data pipeline observability is so important. Realize the benefits of automated data lineage today. Schedule a demo with a MANTA engineer to learn more.

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Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio (acquired by McKinsey) and MongoDB

Iguazio

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. However, this is only the first step.

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Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Flipboard

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml

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Real‑time data streaming architecture: The essential guide to AI‑ready pipelines and instant personalization

Dataconomy

A 2025 landscape analysis shows ApacheKafka , Flink , and Iceberg moving from niche tools to fundamental parts of modern data architecture, underscoring how ubiquitous realtime expectations have become. Because in 2025, the winners will be the brands whose data arrives in milliseconds not minutes.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Boost productivity – Empowers knowledge workers with the ability to automatically and reliably summarize reports and articles, quickly find answers, and extract valuable insights from unstructured data. The following demo shows Agent Creator in action.

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