Artificial Intelligence Data Engineering Presentation Tuning 
InfoQ
MAY 8, 2024
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji
Dynatrace
JULY 6, 2022
Automating IT practices without integrated AIOps presents several challenges. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. This requires significant data engineering efforts, as well as work to build machine-learning models.
InfoQ
APRIL 15, 2024
He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz
Expert insights. Personalized for you.
89 
Let's personalize your content