pipelines

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines | Amazon Web Services

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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines | Amazon Web Services

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone… Article Source https://aws.amazon.com/blogs/machine-learning/how-dpg-media-uses-amazon-bedrock-and-amazon-transcribe-to-enhance-video-metadata-with-ai-powered-pipelines/

Intel’s strategy for utilizing federal funding to revamp talent pipelines in semiconductor manufacturing

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Intel’s strategy for utilizing federal funding to revamp talent pipelines in semiconductor manufacturing

The federal government is making significant investments in the United States’ semiconductor chip production capabilities, aiming to reduce dependency on other countries for this critical technology. The CHIPS and Science Act has set a goal for the US to produce 20% of the world’s most advanced chips by 2030, and companies like Intel are key … Read more

Accelerating Data Pipelines for Databricks on Amazon Web Services (AWS)

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Accelerating Data Pipelines for Databricks on Amazon Web Services (AWS)

Mantel Group has introduced Data Pipeline Accelerators for Databricks, aimed at revolutionizing the approach companies take to data and artificial intelligence projects. Through a combination of Mantel Group’s expertise in AWS data services and Databricks capabilities like Databricks Asset Bundles, they offer comprehensive data pipeline solutions that incorporate software engineering best practices. One key feature … Read more

Begin utilizing AWS Glue Data Quality dynamic rules in your ETL pipelines on Amazon Web Services

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Begin utilizing AWS Glue Data Quality dynamic rules in your ETL pipelines on Amazon Web Services

Data integration pipelines are crucial for organizations to extract and transform data while ensuring high data quality for accurate business decisions. However, fixed data quality rules are often outdated when business environments change, leading to poor quality data. For example, a data engineer set a rule that daily sales must exceed $1 million, but after … Read more