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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.

The latest tech news, backed by expert insights

Stay up to date on the most important—and intriguing—industry trends on AI, automation, data and beyond with the Think newsletter. See the IBM Privacy Statement.

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

Is data management the secret to generative AI?

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:

Author

Program Director

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.

Data management explained

Techsplainers by IBM breaks down the essentials of data for AI, from key concepts to real‑world use cases. Clear, quick episodes help you learn the fundamentals fast.

Unify and access your data to help scale your AI

Learn why the path to AI-ready data often starts with effective access to both structured and unstructured data and the challenges that can impede data leaders.

Legal overhead turned into strategic insight

Learn how an AI-powered legal agent helps accelerate decision-making, reduce manual work and improve compliance.

AI Academy: Building a data strategy for enterprise AI

In this episode, Cathy Reese explains how organizations today need a data strategy that’s ready for advanced AI, which will require them to harness their highest quality data assets.

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.

Cost of a Data Breach Report 2025

Data breach costs have hit a new high. Get up-to-date insights into cybersecurity threats and their financial impacts on organizations.

The data leader’s guide to AI-ready data

Understand the actionable steps data leaders can take to overcome data challenges, establish the groundwork for a trusted data foundation and help get your organization’s data ready for AI.

How the C-suite is turning information into impact

Explore insights from 1,700 CDOs in this cross-industry report for data leaders.

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Design a data strategy that eliminates data silos, reduces complexity and improves data quality for exceptional customer and employee experiences.

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Successfully scale AI with the right strategy, data, security and governance in place.

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Take the next step

Unify all your data for AI and analytics with IBM® watsonx.data™. Put your data to work, wherever it resides, with the hybrid, open data lakehouse for AI and analytics.