The Hidden Costs of DIY RAG: How Tech Debt Eats Your ROI
Building RAG pipelines yourself can be a losing proposition. Discover the 5 examples of technical debt that threaten the success of DIY RAG.
With unstructured information growing at an astonishing rate of 65% annually, organizations have never been so overwhelmed by the knowledge and information their teams need to do their jobs. This knowledge friction has become so commonplace, it’s almost expected and accepted at this point – until now.
Join Jason Zhou, VP of Customer at Pryon, as he explores how generative AI offers a groundbreaking approach to tackling knowledge friction, provided it is implemented with the right safeguards. Discover how consulting firms partner with Pryon to use retrieval-augmented generation (RAG), setting a new standard in sales training, coaching, and education. Equip your organization with strategies to implement generative AI safely and effectively for impactful applications.
Jason Zhou, VP of Customer, Pryon
Jason leads the Solutions, Services, and Customer Success teams at Pryon. He has spent over 10 years working in AI/ML, delivering AI solutions to enterprises across many industries and use cases. Before joining Pryon, Jason led Solutions at C3 AI—an enterprise AI platform—and was a consulting leader at Deloitte, where he defined digital transformation strategies for some of the world’s largest organizations. Jason holds a B.S. degree in Industrial Engineering from Georgia Tech and an MBA from London Business School.
With unstructured information growing at an astonishing rate of 65% annually, organizations have never been so overwhelmed by the knowledge and information their teams need to do their jobs. This knowledge friction has become so commonplace, it’s almost expected and accepted at this point – until now.
Join Jason Zhou, VP of Customer at Pryon, as he explores how generative AI offers a groundbreaking approach to tackling knowledge friction, provided it is implemented with the right safeguards. Discover how consulting firms partner with Pryon to use retrieval-augmented generation (RAG), setting a new standard in sales training, coaching, and education. Equip your organization with strategies to implement generative AI safely and effectively for impactful applications.
Jason Zhou, VP of Customer, Pryon
Jason leads the Solutions, Services, and Customer Success teams at Pryon. He has spent over 10 years working in AI/ML, delivering AI solutions to enterprises across many industries and use cases. Before joining Pryon, Jason led Solutions at C3 AI—an enterprise AI platform—and was a consulting leader at Deloitte, where he defined digital transformation strategies for some of the world’s largest organizations. Jason holds a B.S. degree in Industrial Engineering from Georgia Tech and an MBA from London Business School.
With unstructured information growing at an astonishing rate of 65% annually, organizations have never been so overwhelmed by the knowledge and information their teams need to do their jobs. This knowledge friction has become so commonplace, it’s almost expected and accepted at this point – until now.
Join Jason Zhou, VP of Customer at Pryon, as he explores how generative AI offers a groundbreaking approach to tackling knowledge friction, provided it is implemented with the right safeguards. Discover how consulting firms partner with Pryon to use retrieval-augmented generation (RAG), setting a new standard in sales training, coaching, and education. Equip your organization with strategies to implement generative AI safely and effectively for impactful applications.
Jason Zhou, VP of Customer, Pryon
Jason leads the Solutions, Services, and Customer Success teams at Pryon. He has spent over 10 years working in AI/ML, delivering AI solutions to enterprises across many industries and use cases. Before joining Pryon, Jason led Solutions at C3 AI—an enterprise AI platform—and was a consulting leader at Deloitte, where he defined digital transformation strategies for some of the world’s largest organizations. Jason holds a B.S. degree in Industrial Engineering from Georgia Tech and an MBA from London Business School.