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Pressure on Marketers Will Drive Three Key Data Moves in 2024

The drive to do more with less is behind three key focal points for enterprises next year.

Three Ways Generative AI Is Overhauling Data Management

AI empowers a broad set of users to discover new and exciting insights. Here are three ways AI is changing how enterprises manage their data.

Do More with What You Have in 2024: 3 Trends for Scrappy Data and Analytics Leaders

In times of tight budgets, you’ll need to find ways to get more from your existing assets. Here are three ways to optimize the value of your data.

Data Digest: Data Stacks, Data Platforms, Self-Service Strategies

The benefits of different types of data stacks, the possibility of a new type of data platform, and the difficulties with self-service data initiatives.

Five Value-Killing Traps to Avoid When Implementing a Semantic Layer

When architecting and implementing your semantic layer, consider these issues and take steps to avoid them for more actionable, accurate insights from your data and enhanced user satisfaction.

Data Mesh Domains Explained

At the heart of a data mesh are data mesh domains, but what are they, exactly? We explain the basics you need to know.

Executive Q&A: How Generative AI Is Changing How We Think About Analytics

Structured enterprise data may just be generative AI’s next breakthrough area. We asked Nima Negahban, cofounder and CEO of Kinetica, to explain how the technology is being used in a variety of industries.

Navigating Data Lake Challenges: Governance, Security, and Automation

Data lakes can save your enterprise money, but they come with their own set of challenges. These tips will help you overcome three of the biggest issues.

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