17:00 Arrive/mingle/drinks/snacks
17:30 How to brew a data pipeline IDE with GenAI by Rockie Yang
Secrets revealed for smooth user experience with RAG in a true full stack solution.
18:00 A Hybrid data lakehouse platform for the GenAI Era by Erik Steinholtz
Why Hybrid? Why Lakehouse? Why for the GenAI Era? We will adress all of these questions and also cover prototyping.
18:30 Start Mingle
Presentation: How to brew a data pipeline IDE with GenAI
Since the launch of ChatGPT, Large Language Models (LLM) have become the most sparkling tech. How should LLMs be used effectively to become the key to business success?
In this presentation, we will reveal all the secrets to blend GenAI smoothly. Topics will cover.
* How can we fully utilize the power but not give away too much our secret.
* How can we find most similar information to that the response could be more accurate.
* How can we use the response smoothly into a real product but not feels like an add-on feature.
Speaker Bio:
Rockie Yang is a data practitioner with 20 years of software development experience and 8 years of data/AI space in multiple industries. He is passionated at realizing business value with flawless design, design reliable solution bring business value constantly
Presentation: A Hybrid Data Lakehouse platform for the GenAI Era
Data Platform has changed a lot in the past couple of years. Cloudera Data Platform has made a leap step in GenAI Era to adapt the fast pace. So that your data are securely governed as usual, and in the mean time bring LLM in to generate value fast and better. We will cover the following pragmatic perspectives.
Cloudera Data Platform has changed. A lot. Yes, in the GenAI Era it is still about how you manage your data, how you apply security and governance uniformly. But also:
* Build a flexible hybrid cloud platform to avoid the dreads of cloud vendor lock-in.
* Fast prototyping to keep up with the latest advancements in ML and LLM.
* Guardrail your ML deployments so you can manage the full lifecycle.
Speaker Bio:
Erik Steinholtz has worked with software companies since dinosaurs were around (read 1990's), and has a passion for innovation and bringing solutions to their potential in customer environments. He has seen many hypes come and go, yet believe they each have brought something to the table. Today he focuses on AI, LLM and Data Management.
