Data Brew by Databricks
A podcast by Databricks
34 Episoade
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Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37
Publicat: 22.01.2025 -
Mixture of Memory Experts (MoME) | Data Brew | Episode 36
Publicat: 10.01.2025 -
Mixed Attention & LLM Context | Data Brew | Episode 35
Publicat: 21.11.2024 -
Kumo AI & Relational Deep Learning | Data Brew | Episode 34
Publicat: 14.10.2024 -
LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33
Publicat: 21.07.2023 -
Demonstrate–Search–Predict Framework | Data Brew | Episode 32
Publicat: 29.06.2023 -
Generative AI Risks | Data Brew | Episode 31
Publicat: 08.06.2023 -
John Snow Labs & SparkNLP | Data Brew | Episode 30
Publicat: 01.06.2023 -
Data Brew Season 4 Episode 6: Professional Athletes
Publicat: 09.06.2022 -
Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy
Publicat: 05.05.2022 -
Data Brew Season 4 Episode 4: 1283 Days of Running (and Counting)
Publicat: 14.04.2022 -
Data Brew Season 4 Episode 3: Last Man Standing
Publicat: 31.03.2022 -
Data Brew Season 4 Episode 2: NBA Analytics
Publicat: 10.03.2022 -
Data Brew Season 4 Episode 1: Reducing Injury & Increasing Retention of Industrial Athletes
Publicat: 24.02.2022 -
Data Brew Season 3 Episode 6: Open Source
Publicat: 28.10.2021 -
Data Brew Season 3 Episode 5: Sustainability & Sake
Publicat: 14.10.2021 -
Data Brew Season 3 Episode 4: Executive Education
Publicat: 07.10.2021 -
Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests
Publicat: 30.09.2021 -
Data Brew Season 3 Episode 1: Disrupt: Challenge your Business Assumptions
Publicat: 16.09.2021 -
Data Brew Season 2 Episode 9: Data Driven Software
Publicat: 21.07.2021
Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.