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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.

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AWS adds machine learning capabilities to Amazon Connect

CIO Business Intelligence

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Forecast Time Series at Scale with Google BigQuery and DataRobot. New forecasting features and an improved DataRobot integration with Google BigQuery help data scientists build models with greater speed, accuracy, and confidence. Create granular forecasts across a high volume of Time Series models without so much of the manual work.

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Agile has to work within the context of the organization, whether it’s the process of financial reporting, estimation, or forecasting,” said Phil Heijkoop, general manager of Aligned Agility. He recommends that leaders identify a metric that focuses on value to the customer. Agile teams aren’t done when they deploy the code.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. This is in line with existing sector benchmarks. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on. Use an interpretable approach to forecasting electricity demand data for California. This notebook also demonstrates several downstream analyses. Structural Time Series.