Guides

The Enterprise Playbook to Agent Data Access

A practical playbook for connecting AI agents to governed enterprise data using MCP, readiness assessments, and implementation guidance.

Data fabric tools key features

At the forefront of modern data management advancements is the data fabric concept, an architectural approach designed to dynamically unify…

Vendor Risk Assessment Framework for Data Leaders

Free vendor risk assessment framework for data leaders. Score vendor dependencies, identify single points of failure, and build migration roadmaps.

AI Observability: Key Concepts And Best Practices

As Generative AI (GenAI) becomes business-critical, organizations require specialized monitoring approaches beyond traditional observability to address AI-specific challenges, such as…

Data Leader’s M&A Survival Guide

Navigate vendor M&A events with confidence. Download the complete playbook for assessing risk, protecting contracts, and making migration decisions post-merger.

Data Federation: Key Concepts & Best Practices

Managing data spread across several databases and systems is a critical challenge in modern data-driven organizations. Poor data accessibility and…

AI Metadata: Key Concepts & Best Practices

In the rush to implement generative AI, organizations often overlook a component that can make or break their AI initiatives:…

AI Data Integration: Key Concepts & Best Practices

Integrating AI into existing enterprise systems helps to enable process automation, improve customer experiences, increase work efficiency, and improve decision-making….

LLM Comparison: Key Concepts & Best Practices

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling advanced applications in natural language understanding, content generation,…

LLM Evaluation: Key Concepts & Best Practices

Evaluation of large language models (LLMs) is a crucial step in deploying the models in a real-world environment. This requires…

AI Data Collection: Key Concepts & Best Practices

AI systems require large amounts of structured data to function. Most AI systems undergo a training or fine-tuning phase, during…

AI Readiness: Key Factors & Best Practices

With the advent of generative AI, using the power of artificial intelligence to create new products and services has become…

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