Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns

Subscribe • Previous Issues “Time matters most when decisions are irreversible.”  – Peter Bernstein Data Exchange podcast Changes to the data science role and to data science tools   Sean Taylor is a Data Science Manager at Lyft, and was previously a research scientist and manager at Facebook where he was instrumental in the creation and releaseContinue reading “Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns”

Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI

Subscribe • Previous Issues “Discovering you were wrong is an update, not a failure, and your worldview is a living document meant to be revised.” – Julie Gaef Data Exchange podcast Storage Technologies for a Multi-cloud World  Brad King is the CTO of Scality, a company that builds software-defined file and object storage systems for hybrid &Continue reading “Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI”

Gradient Flow #39: Becoming TikTok, Next-gen Workflow Orchestration and Forecasting

Subscribe • Previous Issues This edition has 450 words which will take you about 2 minutes to read. “There’s always a way if you’re not in a hurry.” – Paul Theroux Data Exchange podcast Towards a next-generation data orchestrator   Chris White is the CTO of Prefect, a startup building tools to help companies build, monitor, andContinue reading “Gradient Flow #39: Becoming TikTok, Next-gen Workflow Orchestration and Forecasting”

Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI

Subscribe • Previous Issues This edition has 455 words which will take you about 3 minutes to read. “Yesterday I was clever, so I wanted to change the world. Today I am wise, so I am changing myself.”- Rumi Data Exchange podcast Training and Sharing Large Language Models    Connor Leahy, AI Researcher at Aleph Alpha GmbH,Continue reading “Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI”

Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI

Subscribe • Previous Issues This edition has 455 words which will take you about 3 minutes to read. “Yesterday I was clever, so I wanted to change the world. Today I am wise, so I am changing myself.”- Rumi Data Exchange podcast Training and Sharing Large Language Models    Connor Leahy, AI Researcher at Aleph Alpha GmbH,Continue reading “Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI”

Gradient Flow #37: Automation in DataOps, Neural RecSys, Self-Supervision

Subscribe • Previous Issues This edition has 485 words which will take you about 3 minutes to read. “Moses was technically the first person to download files to his tablet from the cloud.” – @ADDiane Data Exchange podcast Automation in Data Management and Data Labeling  Hyun Kim is co-founder and CEO of Superb AI, a startup buildingContinue reading “Gradient Flow #37: Automation in DataOps, Neural RecSys, Self-Supervision”

Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability

Subscribe • Previous Issues This edition has 428 words which will take you about 2 minutes to read. “Preferences are optional and subject to constraints, whereas constraints are neither optional nor subject to preferences.” – Marko Papic Data Exchange podcast Making Boats Fly with Reinforcement Learning and Ray   Nic Hohn (Chief Data Scientist, McKinsey/QuantumBlack Australia) describesContinue reading “Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability”

Gradient Flow #35: Optimizing Inference, Workflow Tools, RL in Large Enterprises

Subscribe • Previous Issues This edition has 510 words which will take you about 3 minutes to read. “The thing about machine learning scientists is that they never admit defeat because all of their problems can be solved with more data.” – William Tunstall-Pedoe Data Exchange podcast Why You Should Optimize Your Deep Learning Inference Platform  Continue reading “Gradient Flow #35: Optimizing Inference, Workflow Tools, RL in Large Enterprises”

Gradient Flow #34: Modernizing Data Governance, DataOps for ML, Declarative Interfaces

Subscribe • Previous Issues This edition has 510 words which will take you about 3 minutes to read. “If something cannot go on forever it will stop.” – Herbert Stein Data Exchange podcast Injecting Software Engineering Practices and Rigor into Data Governance  As the amount and importance of data grows within organizations, there is growing interest inContinue reading “Gradient Flow #34: Modernizing Data Governance, DataOps for ML, Declarative Interfaces”

Gradient Flow #33: DataOps, Natural Language Benchmarks, Multimodal ML

Subscribe • Previous Issues This edition has 548 words which will take you about 3 minutes to read. “While you are looking, you might as well also listen, linger and think about what you see.”  – Jane Jacobs Data Exchange podcast How Technology Companies Are Using Ray  Zhe Zhang is an Engineering Manager at Anyscale where heContinue reading “Gradient Flow #33: DataOps, Natural Language Benchmarks, Multimodal ML”