Remove 2023 Remove Data Enablement Remove Metadata Remove Risk
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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

In his presentation, Mitesh shared how data intelligence helps joint users of Alation and Fivetran “look before they leap” as they go about the challenging process of building data pipelines (check out the slides from the “ Look Before Your Leap ” session here!) We have a jam-packed conference schedule ahead.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

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A Data Prediction for 2025

DataKitchen

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? ’ They are data enabling vs. value delivery. What will exist at the end of 2025?

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that.

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CIOs rise to the ESG reporting challenge

CIO Business Intelligence

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. The complexity is at a much higher level.”

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5 Alation Customers Sharing Data Successes at Snowflake Summit 2023

Alation

Join this session to learn how DIRECTV partnered with Alation to map their new dataverse, which includes Snowflake data sources (hubs), glossaries, enhanced metadata for metadata objects, lineage, and quality. They also recognized that to become 100% data- driven, first they had to become 100% metadata- driven.