Data + AI 2023 Event
It was an awesome learning experience and fantastically organized event " Data +AI Summit " . Kudos to the databricks team who made this possible. See you next year.
- 887 Views
- 0 replies
- 0 kudos
It was an awesome learning experience and fantastically organized event " Data +AI Summit " . Kudos to the databricks team who made this possible. See you next year.
Hi, Happy to be here. Working in energy business doing a lot of ml project so far and very enthusiastic about all the stuff we learned so far. Will go back home ready to try to start our journey into productionalize out ml and ai initiative. Any sugg...
Hi Lorenzo,the blog of Databricks are rich of content:Try it: https://www.databricks.com/blog
I attended the Data AI Summit for the first time and it was highly informational and was a great experience to learn about emerging trends in the AI space especially around Data.Realtime serverless data analytics really caught my attention. Couldnt b...
Loved the new features (Lakehouse, AI) that were presented in Keynote.Lakehouse is a combination of Data Warehouse and Delta Lake.
Hello Everyone,finally after a decade of data summit in streaming or blog post. Now i m very happy to be part of this amazing Summit in presence.Do you share with me documentation about the new Lakehouse IQ??Thank youChris
Documentation will be provably available in the next future
Generative ai ftw
Loved the new features (Lakeshore, AI) that were presented in Keynote
Great experience…. Learning a lot. #summit2023
What an awesome new feature ! #Summit23
My experience at the conference has been fun and informative. I enjoyed working with the metastore and it was very informative attending the unity catalog session to understand the new tagging features, browsing datasets, data lineage and account lev...
I think we've had a great introduction into how you guys plan to empower LLM workflows - would be awesome to hear about concrete timelines for product rollout!
Would like to learn more about databricks connect powered by spark and how it can be used to debug spark queries.
On demand learning will really help new engineers onboard. Highly recommend
| User | Count |
|---|---|
| 140 | |
| 134 | |
| 57 | |
| 46 | |
| 42 |