Data engineers and data scientists must manage pipelines for unstructured data to ensure healthy inputs for language models.
Published at:
https://www.eckerson.com/articles/why-and-how-data-engineers-will-enable-the-next-phase-of-generative-ai

Why and How Data Engineers Will Enable the Next Phase of Generative AI - Audio Blog

Data engineering is now considered a crucial job in IT as Generative AI, the hottest technology of this decade, relies on data engineers to provide accurate inputs.
Published at:
https://www.eckerson.com/articles/data-engineering-for-genai-how-to-optimize-data-pipelines-and-governance

Data Engineering for GenAI: How to Optimize Data, Pipelines, and Governance - Audio Blog

This blog explores three criteria to evaluate tools that manage unstructured data pipelines for GenAI.
Published at:
https://www.eckerson.com/articles/data-engineering-for-genai-three-criteria-to-evaluate-pipeline-tools

Data Engineering for GenAI: Three Criteria to Evaluate Pipeline Tools - Audio Blog

Explore the reasons for data engineers to collaborate with data scientists, machine learning (ML) engineers, and developers on DataOps initiatives that support GenAI.
Published at:
https://www.eckerson.com/articles/dataops-for-generative-ai-data-pipelines-part-iii-team-collaboration

DataOps for Generative AI Data Pipelines, Part III: Team Collaboration - Audio Blog

This blog recommends four questions to help data and AI leaders compare homegrown and commercial options for retrieval augmented generation.
Published at:
https://www.eckerson.com/articles/build-or-buy-rag-four-questions-to-guide-your-approach-to-retrieval-augmented-generation-for-genai

Build or Buy RAG? Four Questions to Guide Your Approach to Retrieval Augmented Generation for GenAI - Audio Blog

This blog defines streaming data, explains why companies need it, and explores how streaming data pipelines feed multi-faceted GenAI applications.
Published at:
https://www.eckerson.com/articles/why-and-how-streaming-data-drives-the-success-of-generative-ai

Why and How Streaming Data Drives the Success of Generative AI

This blog, the second in a series, recommends six criteria to help data leaders evaluate tools for managing streaming data pipelines.
Published at:
https://www.eckerson.com/articles/ultimate-guide-to-streaming-data-pipelines-six-criteria-to-evaluate-and-select-the-right-tool

Ultimate Guide to Streaming Data Pipelines: Six Criteria to Evaluate and Select the Right Tool

This article by Piotr Czarnas, founder of DQOps, outlines a proven, team-based approach to tackling persistent issues like invalid data, delayed reporting, and inconsistent formats.
Published at:
https://www.eckerson.com/articles/overcoming-the-challenge-of-low-data-quality

Overcoming The Challenge of Low Data Quality - Audio Blog

This blog defines the governance requirements that streaming data pipelines must meet to make artificial intelligence/machine learning (AI/ML) initiatives successful.
Published at:
https://www.eckerson.com/articles/streaming-data-governance-three-must-have-requirements-to-support-ai-ml-innovation

Streaming Data Governance: Three Must-Have Requirements to Support AI/ML Innovation - Audio Blog

Efficient data pipelines are the foundation of every successful AI project, ensuring clean, accurate, and actionable insights. Destinie James highlights how strong data infrastructure empowers innovation, scalability, and smarter decision-making across AI-driven organizations worldwide. Visit here: https://destiniejames.journoportfolio.com/


Destinie James Talks About How Data Pipelines Drive AI Success

Destinie James is an accomplished Technical Program Manager, engineer, and global STEM advocate whose work bridges technology, leadership, and impact. She holds multiple engineering degrees in computer and electrical engineering and has blended her expertise in artificial intelligence, cybersecurity, and digital transformation to create meaningful change across industries.

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #DataPipelines