An emerging approach to generative AI will help data engineering teams achieve much-needed productivity gains while controlling risk.
Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iii-the-emergence-of-small-language-models-for-data-engineering

Should AI Bots Build Your Data Pipelines Part III - Audio Blog

This blog recommends guiding principles for successful implementation of language models to assist data engineering.
Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iv-guiding-principles-for-success-with-language-models-and-data-engineering

Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog

Kevin Petrie, the Vice President of Research at Eckerson Group, and Dan O’Brien, research analyst, discussed large language models (LLMs), which are neural networks that analyze text to predict the next word or phrase. These models use training data, often from the internet, to understand word relationships and provide accurate answers to natural language questions.

Analyst Series: Should AI Bots Build Your Data Pipelines?

Discover how master data management (MDM)  provides language models with high-quality enterprise data to improve their response accuracy.
Published at:
https://www.eckerson.com/articles/improving-genai-accuracy-with-master-data-management

Improving GenAI Accuracy with Master Data Management - Audio Blog

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 #SmallLanguageModels