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Database Deep Dives with IBM Cloud

Analytics yellow 1 Gen AI

Database Deep Dives is a series of in-depth interviews that goes behind the scenes with the foremost leaders in the database field.

Through these conversations, we draw back the curtain and provide insights on the latest industry trends, advancements, and advice from the foremost builders, executives and leaders in the database landscape.

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The latest tech news, backed by expert insights

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Database Deep Dives posts

Andy Pavlo: Andy is an Associate Professor in the Computer Science Department at Carnegie Mellon University and CEO and co-founder of OtterTune
Cassandra: Jonathan Ellis, co-founder of DataStax and Apache Cassandra PMC member
PostgreSQL: Dave Cramer, Crunchy Data and maintainer of the PostgreSQL JDBC driver, and Brad Nicholson, Lead Database Architect of the IBM Cloud Databases portfolio
CouchDB: Adam Kocoloski, IBM Fellow, VP of IBM Cloud Data Services and Apache CouchDB PMC member, and Jan Lehnardt, CEO of Neighbourhoodie and Apache CouchDB PMC member
MongoDB: Richard Kreuter, Chief Customer Officer at MongoDB
PingCAP and TiKV: Liu Tang, Chief Engineer at PingCAP and a maintainer of TiKV
FaunaDB: Evan Weaver, CEO of Fauna
JanusGraph: Florian Hockmann and Jason Plurad of the JanusGraph PMC

AI Academy

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Explore why high-quality data is essential for the successful use of generative AI.

Learn more about IBM Cloud Databases

If you’re looking to take a cloud database for a spin, the IBM Cloud Databases portfolio offers a variety of database technologies — such as Db2, PostgreSQL and MongoDB — that are purpose-built for all your application needs.

Learn how you can get up to $1,500 in credit towards our database service — on the IBM Cloud Databases page, proceed to the Promotions tab under Cloud Database Use Cases:

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Increasing AI Adoption with AI-Ready Data

Gain actionable insights on how to invest in AI technology for data and preparing data for AI.

Resources

AI Agents Run on Data—Is Yours Ready?

Your data is your competitive edge. Learn how to unlock it securely and drive measurable ROI from AI in this short webinar.

Managing data for AI and analytics at scale

Learn how an open data lakehouse approach can provide trustworthy data and faster analytics and AI projects execution.

Is your data ready for gen AI?

Explore our Data Matters hub to learn how you can tackle data and AI challenges like integration.

Increase AI adoption with AI-ready data

Discover why AI-powered data intelligence and data integration are critical to drive structured and unstructured data preparedness and accelerate AI outcomes.

The hybrid, open data lakehouse for AI

Simplify data access and automate data governance. Discover the power of integrating a data lakehouse strategy into your data architecture, including cost-optimizing your workloads and scaling AI and analytics, with all your data, anywhere.

IBM Research® data management publications

Explore how IBM Research is regularly integrated into new features for IBM Cloud Pak® for data.

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