Explore the latest advancements, hear real-world case studies and discover best practices that deliver data and AI transformation. From the Databricks Lakehouse Platform to open source technologies including LLMs, Apache Sparkโข, Delta Lake, MLflow and more โ the practitioner's track at the World Tour has all the information you need to accelerate and enhance your work.
Join us to discover best practices across data engineering, data science, and advanced analytics on the lakehouse architecture.
Who should join?
โข | Data engineer responsible for designing and managing data pipelines |
โข | Data scientist working on cutting-edge ML and AI challenges |
โข | ML engineer focused on deploying models into production |
โข | Data analyst in charge of unravelling insights |
โข | Data architect responsible for designing and securing data infrastructure |
โข | Business leader interested in understanding the value of a unified and open data platform |
From inspiring keynotes to insightful sessions, the Data + AI World Tour Mumbai has something for you. Click here to learn more.
Databricks at its core seems very interesting. Use case by deam11 and Narayan was fantastic. It seems to be for all use cases at core.
Really loved the enthusiasm of databricks team, the guests invited gave some really good insights about their domain level usecases and also highlighted the issues faced which would surely be a bonus for us as aspiring minds stepping into this field.
I'm also more inclined towards certifications in data engineering domain, and i would love to get some guidance on a pathway to start things with.
Great product
Developers are key to technical expertise.
Event was nice, explored more on AI side.
LLM feature was introduced nicely, as well itโs unique feature like DLT, MFlow.
It was pleasant and awesome experience while attending the databricks session. I ll attend next event as well. You guys are excellent
Hi , this was a nice session data + ai world tour
The event was well-organized and the speakers were knowledgeable and engaging.
The sessions covered a wide range of topics, from the basics of data science to advanced machine learning techniques.
There was a good mix of technical and business content, which was helpful for understanding how data and AI can be used to solve real-world problems.
The networking opportunities were excellent. I met a lot of interesting people and learned about their work in data and AI.
developers and technical architects have good insights for data sceince through this initiative
It's very good insight for business people, technical people and as specially data science professionas.