Modak will present at The 16th Annual MIT Chief Data Officer and Information Quality Symposium | PR Newswire

ByErma F. Brown

Jul 5, 2022 , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,


CHICAGO, June 28, 2022 /PRNewswire/ — Modak will be showcasing at the MIT CDOIQ Symposium on the 19th of July 2022, the leading of Modak Nabu 3., an built-in data engineering system that accelerates facts preparing by 4x.

The MIT CDOIQ function will convey jointly over 4000 of the world’s foremost specialists in Info Administration, Facts Analytics, and Details Good quality, where Modak is a platinum sponsor.

“The International Chief Data Officer and Information Top quality Symposium (CDOIQ), now in its 16th yr, is one particular of the vital events for sharing and exchanging of slicing-edge tips, content, and conversations,” said Dr. Richard Wang, Executive Director of the CDOIQ Symposium.

Modak Nabu™ built from the floor up permits a multi-hybrid cloud data strategy for business shoppers to make a modern-day data fabric and knowledge mesh. Creating a datafied’ organization that systematically handles details as a business discipline and as a strategic asset.

At the MIT CDOIQ party, Modak’s Chief Analytics Officer and Co-founder, Milind Chitgupakar, will deliver a session on Building Blocks of a Modern day Facts Platform’ on July 20, 2022, at 16:30 ET.

For even more information and facts about the MIT CDOIQ occasion and to sign up, be sure to click listed here

About Modak:

Modak is a answers business that allows enterprises to manage and benefit from their info landscape proficiently. We deliver engineering and cloud-agnostic application and products and services to accelerate information migration initiatives. We use machine learning (ML) approaches to change how structured and unstructured facts is well prepared, consumed, and shared.

Modak’s portfolio of Facts Engineering Studio presents best-in-course shipping companies, managed data operations, enterprise knowledge lake, knowledge mesh, info cloth, augmented details planning, information good quality, and ruled facts lake alternatives.

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Rima Chakraborty

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