White paper

Generative AI Workflows: Architectural Approaches and Use Cases

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Explore the untapped potential of Generative Artificial Intelligence (GenAI) in the latest white paper by Kevin Petrie, VP of Research at the Eckerson Group, "Generative AI Workflows: Architectural Approaches & Use Cases."

Driven by language models (LMs), these workflows promise heightened productivity, efficiency, and revenue across various use cases, from customer service to document processing and medical care. Kevin Petrie introduces three essential guiding principles for success in generative AI initiatives, addressing the opportunity presented by pain points and the critical role of governance in mitigating risks to data quality, privacy, and intellectual property.

Written for Data Engineers, Data Architects, Data Scientists, and Business Decision Makers, this white paper provides a strategic roadmap for integrating Generative AI into product and go-to-market strategies. Embark on the next wave of innovation and gain a competitive edge in the evolving world of AI. Download today for insights that will position your AI workflows for success.

About the Author

Kevin Petrie is the VP of Research at Eckerson Group, where he manages the research agenda and writes about topics such as data integration, generative AI, data observability, machine learning, and cloud data platforms. For 25 years Kevin has deciphered what technology means for practitioners as an industry analyst, instructor, marketer, services leader, and tech journalist. He launched a data analytics services team for EMC Pivotal in the Americas and EMEA and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and coauthor of two books about data management, Kevin most loves helping start-ups educate their communities about emerging technologies.

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