Data Productivity Cloud adds Amazon Bedrock to no-code generative AI pipeline functionality
Data productivity provider Matillion announces the addition of generative artificial intelligence (AI) functionality to its flagship Data Productivity Cloud using Amazon Bedrock.
Amazon Bedrock is a fully managed service from Amazon Web Services (AWS) that makes foundation models (FMs) from leading AI companies accessible via an API to build and scale generative AI applications.
A longtime AWS Advanced Tier Services Partner, Matillion adds generative AI integration with a prompt component supporting Amazon Bedrock to enable users to operationalize the use of Large Language Models (LLMs) inside the data pipeline to address intelligent data integration tasks including data enrichment, data quality and data classification among others.
Ciaran Dynes, Chief Product Officer at Matillion, said: “Integrating AI technologies into our product offering adds a huge amount of firepower for our clients to materially increase their data productivity with intelligent data integration tasks.
“There was never any question about including AWS in that process. Amazon Bedrock’s ability to leverage all base models – such as Anthropic Claude and Amazon Titan – brings huge opportunities for our clients to get insights from their data at scale, faster.”
Matillion brings no-code generative AI functionality to data pipelines, bridging the ever-growing gap in data engineering skills by adding a graphical LLM prompt component to the palette.
“AI has the potential to revolutionize the way that we all work. Integrating LLMs into data pipelines creates exciting capabilities which, put simply, will unbox new levels of gains in productivity and results for the business,” said Sam Hobbs, Principal Financial Group.
Last month, Matillion announced its vision for integrating generative AI technologies into pipelines and Data Productivity Cloud at its user conference, Data Unlocked. The data productivity provider continues strengthening its work with AWS, announcing Data Productivity Cloud on Amazon Redshift at AWS re:Invent 2023.
