Snowflake and Landing AI combine forces to tackle unstructured data challenges with computer vision

by | Mar 14, 2024 | Technology

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Earlier this month, Snowflake, the data warehousing giant, announced a strategic investment and partnership with Landing AI, a computer vision startup founded by AI luminary Andrew Ng. The collaboration aims to integrate Landing AI’s advanced computer vision platform into Snowflake’s Data Cloud, unlocking new possibilities for enterprises seeking to harness the untapped potential of visual data.

In an era where unstructured data, particularly in the form of images and videos, accounts for an astonishing 90% of the world’s data, the partnership between Snowflake and Landing AI comes as a timely solution. Enterprises across industries, from manufacturing and retail to healthcare and finance, stand to benefit from the integration of cutting-edge computer vision capabilities within Snowflake’s secure and governed data ecosystem.

Stefan Williams, Snowflake’s VP of Corporate Development, shed light on the transformative potential of this partnership in a recent interview interview with VentureBeat. “Users can now seamlessly access cutting-edge AI capabilities: connect image data stored in Snowflake, create computer vision models, and run AI models inside Snowflake Container Services or deploy to edge devices,” he explained. “They will also be able to enrich this image data with relevant meta data and insights which can be written back directly into the Landing AI native app within Snowflake.”

Empowering industries with limited datasets

One of the most compelling aspects of Landing AI’s platform is its ability to train highly accurate computer vision models using limited datasets. As Williams pointed out, “This is often very beneficial to certain verticals like manufacturing where they may be trying to build a vision quality control system as an example but have a limited set of defective images as the manufacturin …

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Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here.

Earlier this month, Snowflake, the data warehousing giant, announced a strategic investment and partnership with Landing AI, a computer vision startup founded by AI luminary Andrew Ng. The collaboration aims to integrate Landing AI’s advanced computer vision platform into Snowflake’s Data Cloud, unlocking new possibilities for enterprises seeking to harness the untapped potential of visual data.

In an era where unstructured data, particularly in the form of images and videos, accounts for an astonishing 90% of the world’s data, the partnership between Snowflake and Landing AI comes as a timely solution. Enterprises across industries, from manufacturing and retail to healthcare and finance, stand to benefit from the integration of cutting-edge computer vision capabilities within Snowflake’s secure and governed data ecosystem.

Stefan Williams, Snowflake’s VP of Corporate Development, shed light on the transformative potential of this partnership in a recent interview interview with VentureBeat. “Users can now seamlessly access cutting-edge AI capabilities: connect image data stored in Snowflake, create computer vision models, and run AI models inside Snowflake Container Services or deploy to edge devices,” he explained. “They will also be able to enrich this image data with relevant meta data and insights which can be written back directly into the Landing AI native app within Snowflake.”

Empowering industries with limited datasets

One of the most compelling aspects of Landing AI’s platform is its ability to train highly accurate computer vision models using limited datasets. As Williams pointed out, “This is often very beneficial to certain verticals like manufacturing where they may be trying to build a vision quality control system as an example but have a limited set of defective images as the manufacturin …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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