Retrieval-augmented generation (RAG) techniques are employed to combine the generative power of LLMs with the retrieval ...

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Interest is growing in the data mesh approach—an organizational and architectural approach to share, access, and manage analytics data in complex and large-scale environments where data ownership is ...

According to TDWI research, generative AI will be the top analytics investment area in 2025, unlocking fresh innovations and perspectives and creating valuable opportunities for organizations. For ...

As organizations expand their use of AI and machine learning, ensuring that data is AI-ready is more critical than ever. High-quality, well-integrated data fuels better AI models, driving innovation, ...

As organizations prioritize data democratization and AI-driven analytics, ensuring high-quality, trustworthy data has never been more crucial. Data quality management is a continuous, complex process ...

Successful modern data infrastructure encompasses more than just storage and staging options. Organizations must take a holistic approach with key data management practices including data quality, ...