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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Someone hacks together a quick demo with ChatGPT and LlamaIndex. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges?

Testing 174
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What you need to know about product management for AI

O'Reilly on Data

An AI pilot project, even one that sounds simple, probably won’t be something you can demo quickly. A demo, or even a first release, can be based on heuristics or simple models (linear regression, or even averages). Having something you can demo takes some of the pressure off your machine learning team.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics.

Metrics 126
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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift provides performance metrics and data so you can track the health and performance of your provisioned clusters, serverless workgroups, and databases. Run cell #3 from demo notebook to diagnose a query performance issue related to nested loop joins. For more information, refer to Amazon Redshift clusters. Run cell #12.

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Top 22 Real Estate KPIs and Metrics for 2021 Reporting

Jet Global

A real estate Key Performance Indicator (KPI) or metric is a quantifiable measure used to assess the performance of a business in the real estate industry. These performance metrics can be used to analyze several different business segments from individual realtor performance to investment property potential. Is it worth your time?

Metrics 98
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Simplify data integration with AWS Glue and zero-ETL to Amazon SageMaker Lakehouse

AWS Big Data

Amazon CloudWatch , a monitoring and observability service, collects logs and metrics from the data integration process. Prerequisites Complete the following prerequisites before setting up the solution: Create a bucket in Amazon S3 called zero-etl-demo- - (for example, zero-etl-demo-012345678901-us-east-1 ). Choose Next.

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Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio

AWS Big Data

Whether youre a data analyst seeking a specific metric or a data steward validating metadata compliance, this update delivers a more precise, governed, and intuitive search experience. This reduces time-to-insight and makes sure the right metric is used in reporting. This supports data hygiene and infrastructure cost optimization.

Metadata 100