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Zingg AI
United States
Приєднався 19 лип 2022
Zingg is a machine learning-based entity resolution tool. We have defined patterns for E and L in ELT for constructing data warehouses, data lakes, and deltalakes using a modern data stack and DataOps. The analytics engineer and data scientist can easily link data silos with Zingg and create unified views on a large scale.
Data Mastering with AI
Early days of working on Zingg and before the launch. Thoughts on why AI is the right way to master data at scale.
Переглядів: 28
Відео
Zingg Entity Resolution With Databricks Community Meetup
Переглядів 4314 днів тому
Learn how to build an entity resolution POC using open source Zingg notebooks on Databricks.
Learning Spark Connect - Zingg Community Event, 26 Sept 2024
Переглядів 6914 днів тому
Learn about the origins and internals of Spark Connect
Zingg with Databricks (Demo)
Переглядів 72Місяць тому
An AI/ML-based approach directly working on Databricks on data that resides in the environment. See how easy it is to configure the workflow to resolve these identities.
Entity Resolution: Dave Musambi, Senior Director, Business Intelligence at Canadian Football League
Переглядів 2469 місяців тому
Hear directly from Dave Musambi, Senior Director, Business Intelligence at Canadian Football League about building Fan 360 using Zingg Identity Resolution on Snowflake. Also hear a practitioner's take on composable customer data platform #cdp
Zingg Customer Interview with Shelomo Dobkin, Director of Product Development (Orthodox Union)
Переглядів 7359 місяців тому
Hear from Shelomo Dobkin, Director of Product Development at Orthodox Union on how entity resolution plays a critical role in identifying people and households ion their Snowflake data warehouse.
Brand and Product Entity Resolution: Testimonial from Edward Bennigsen (Provenance.org)
Переглядів 118Рік тому
Edward Bennigsen is a Senior Software Engineer at Provenance.org. He talks about his experience using Zingg for Entity and Identity Resolution
Customer 360: Identity Resolution - Jerome Gransac, Zingg Meetup (2 Sep 2022)
Переглядів 1712 роки тому
Meet our esteemed guest Jerome Gransac, an enterprise data architect by profession and a valued member of our community. In this clip, Jerome talks about the importance, uses and problems associated with Customer 360, a trusted, single view of customer data, and how Zingg helps with this problem effectively. The presentation includes a demonstration where Jerome shows the difference in the qual...
NC Campaign Funding Identity Resolution: Jimmy Steinmetz, Zingg Meetup (2 Sep 2022)
Переглядів 1732 роки тому
Meet our esteemed guest Jimmy Steinmetz, Co-Founder, Crossroads CX and a valued member of our community. In this presentation, Jimmy talks about how he’s using Zingg to help a Non-Profit Organization in North Carolina, USA to open-source campaign finance data to understand the flow of funds in the state. Learn more about Zingg at: docs.zingg.ai/zingg/ Join our Zingg AI Slack Community for any q...
Zingg Community Meetup: 2nd September, 2022
Переглядів 2082 роки тому
identity resolution and Entity Resolution meetup with www.zingg.ai 2 September 2022
Identity Resolution With Zingg, Streamsets, Snowflake And Databricks
Переглядів 8062 роки тому
This demonstration by the Streamsets team illustrates using Zingg, Streamsets, Databricks and Snowflake together to solve identity resolution challenges using machine learning. (C) Streamsets Inc. Join our ever-growing Zingg AI Slack community and get new updates : join.slack.com/t/zinggai/shared_invite/zt-w7zlcnol-vEuqU9m~Q56kLLUVxRgpOA #ml #machinelearning #databricks #snowflake #identityreso...
Good stuff
keep these coming!
Hi , Thank you for uploading the video. Unfortunately I am getting the following error: "TypeError: 'JavaPackage' object is not callable" for the line args = Arguments(). How can I fix this?
Please add the Zingg jar from the releases to the Databricks cluster library.
Great insight into Identity Resolution using CFL data! 🏈 Exciting to see how #ZinggAI is making waves in the world of football analytics. #CFL #Football
Insightful interview!!
Extremely proud to be part of this journey
It was lovely to hear from Jimmy live on the very critical problem of identity resolution of donors and recipients in campaign data in North Carolina. Thanks Jimmy!
Great solution to a critical age old problem! Will definitely use