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Leveraging LLMs for Enterprise Data


Learn how to leverage language models in enterprise data management. Join us as we delve into essential LLM strategies tailored for non-public data applications. Learn about prompt engineering, fine-tuning, and Retrieval Augmented Generation (RAG) while discovering how each approach can transform your data processes.

What to anticipate:

  •  Strategy Overview: Gain insights into key LLM strategies and their applications in enterprise data management.
  •  Proven Techniques: Explore the practical benefits of prompt engineering, fine-tuning, and Retrieval Augmented Generation.
  •  Real-world Examples: See how these strategies have made a significant impact in enterprise data contexts.

Who should attend:
Professionals, data enthusiasts, and decision-makers in enterprise data. No prior LLM knowledge is required, just bring your curiosity.

Don’t miss out! Register now to join the discussion.

Babar Bhatti
Babar Bhatti

AI Customer Success Principal

Babar is a Principal Data and AI Customer Success Manager at IBM. He is co-founder and EVP of Dallas AI, a meetup group of over 4500 AI professionals. He is a hands-on practitioner of Machine Learning and holds certifications for cloud, data and machine learning technologies. He shares his perspective on practical applications of AI and ML on Medium.


We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!