181 zettabytes. That’s the amount of data expected to be created, captured, copied and consumed by 2025, according to Accenture. If raw data is the lifeblood, ELT (extract, load and transform) is the skeleton, giving structure to data for the businesses powering our data consumption needs. Moving data from one place to another, as trivial as it sounds, has always been a laborious process; adjusting for changes in structures, arranging connections to new data sources, and fitting them into existing flows. That process is getting face-lift with Generative AI and copilots, courtesy of Rivery.
Rivery Blueprint is an AI-powered copilot designed to simplify and accelerate data integration at scale. "We're here to make data integration simple and flexible for the changes that happen every week," says Itamar Ben Hemo, CEO of Rivery. "Our vision is to democratize data integration, and this AI-powered copilot is a significant step towards that goal."
Blueprint’s technology can analyze and understand the structure of new data sources at the user’s request, generate YAML configuration files for seamless integration, and enable users to quickly tap into new data sources and integrate them into their data workflows. The copilot analyze API documentation to learn all the different settings, such as pagination, rate limits, and error handling, necessary for proper API calls.
One of the key benefits of Rivery's copilot is its ability to rapidly develop connectors. What once took a month can now be accomplished in a fraction of the time, allowing businesses to integrate new data sources at unprecedented speed and a reduced maintenance burden on data teams.
“Unlike black-box solutions, our copilot generates YAML files that can be reviewed, modified, and version-controlled by data teams,” added Ben Hemo. This transparency ensures that data professionals maintain control over their integrations while benefiting from AI assistance.
