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The Future of Data Management Is Agentic AI

Snowflake

Managing and utilizing data effectively is crucial for organizational success in today's fast-paced technological landscape. The vast amounts of data generated daily require advanced tools for efficient management and analysis. A path forward Agentic AI represents a change in thinking in enterprise data management.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Can you describe the operational/architectural aspects of building a full data engine on top of the FDAP stack?

Database 162
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Understanding Master Data Management (MDM) and Its Role in Data Integrity

Precisely

Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations. Today, you have more data than ever.

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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.

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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Building high-quality agents was often too complex, for several reasons: Evaluation is difficult: Many enterprise AI tasks are difficult to evaluate, for both humans and even automated LLM judges. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

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Azure SQL Database: The Future of Cloud Data Management

ProjectPro

Azure SQL Database Limitations Azure SQL Database is a powerful and flexible cloud-based managed database service, but like any technology, it has its limitations. You can refer to the Azure SQL Database documentation for more information on the pricing.