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Elice, Inc. becomes the first domestic edutech company to enter into partnership with Databricks

Elice

10/31/2023

Signed partnership with Databricks, a global company with 10,000 global corporate customers

Provide DX training to accelerate Databricks adoption, including content translation and lectures



Elice, Inc. (CEO Jaewon Kim), an education practice platform company, has signed a partnership with Databricks, a global data and AI company, for the first time among domestic edutech companies.


Elice, Inc., a leading domestic DX (digital transformation) education company, signed a consulting partnership with Databricks. Through the partnership, we plan to provide a variety of DX training for companies that are considering or have already introduced Databricks.


First, Databricks content is translated into Korean to ease the language burden of companies considering adopting Databricks. Reflecting the demand in the cloud education market, which has recently increased in importance due to generative AI and corporate DX acceleration, methods to use Databricks will also be presented as lecture content.


Databricks has a lakehouse platform optimized for data and AI utilization and has over 10,000 corporate customers from various industries around the world. In Korea, the number of companies adopting the Lakehouse platform for digital transformation is increasing.


Elice, Inc. expects to create optimal synergy in the cloud field through its unrivaled MLOps (machine learning operations) technology and collaboration with the Databricks platform. With this partner participation, the two companies will jointly hold the MLOps conference on November 16.


Kim Jae-won, CEO of Elice, Inc., said, “We hope to be able to take a step forward in establishing domestic DX by providing education on Databricks, a specialized enterprise data platform,” and added, “By signing a partnership with Databricks, we will create various business cooperation opportunities. “We will also add strength to expanding the AI and data ecosystem.”

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  • #Databricks