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AI-Driven Data Integrity Innovations to Solve Your Top Data Management Challenges

Precisely

Upgraded Data Governance service Artificial intelligence (AI) advancements Expanded data integration capabilities Enhanced Data Catalog functionality Together, these advancements enable your organization to better integrate, govern, and improve the readiness of your data for trusted analytics, reliable AI insights , and faster time to value.

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Making The Total Cost Of Ownership For External Data Manageable With Crux

Data Engineering Podcast

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Tired of deploying bad data?

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An Agile Approach To Master Data Management with Mark Marinelli - Episode 46

Data Engineering Podcast

Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

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Snowflake Startup Challenge 2025: Meet the Top 10

Snowflake

Sherloq Data management is critical when building internal gen AI applications, but it remains a challenge for most companies: Creating a verified source of truth and keeping it up to date with the latest documentation is a highly manual, high-effort task. The judges will deliberate live before naming the 2025 Grand Prize winner.

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Modern Data Management Essentials: Exploring Data Fabric

Precisely

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

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The Challenge of Data Quality and Availability—And Why It’s Holding Back AI and Analytics

Striim

If data is delayed, outdated, or missing key details, leaders may act on the wrong assumptions. Regulatory Compliance Demands Data Governance: Data privacy laws such as GDPR and CCPA require organizations to track, secure, and audit sensitive information. Start Your Free Trial | Schedule a Demo

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Snowday Announcements for Application Development: Snowpark Container Services, Snowflake Native Apps, Hybrid Tables and more!

Snowflake

Let’s take a look at a few examples of Snowflake Native Apps that utilize Snowpark Container Services: Carto: Carto, a geospatial platform, can be deployed entirely inside Snowflake to tackle problems like vehicle routing without requiring data movement. Check out the demo. Check out the demo and sign up for the waitlist.

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