Published May 25, 2018
Agile Data Science with Sarah Aerni - #143
Explore the intersection of agile methodologies and data science with Sarah Aerni of Salesforce Einstein, as she delves into the challenges of deploying machine learning models, the significance of scalable platforms, and her transition from biology to AI, all while promoting the democratization and automation of data science processes.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Agile Applied AI Research with Parvez Ahammad - #492
Answers 383 questions
Jennifer Prendki Interview - Agile Machine Learning - TWiML Talk #46
Answers 383 questions
Building AI Products with Hilary Mason - #11
Answers 383 questions
Responsible AI in Practice with Sarah Bird - #322
Answers 383 questions
Scaleable Distributed Deep Learning with Hillery Hunter - #77
Answers 383 questions
A Social Scientist’s Perspective on AI with Eric Rice - #511
Answers 383 questions
Web Scale Engineering for Machine Learning with Sharath Rao - #40
Answers 383 questions
Data Science on AWS with Chris Fregly and Antje Barth - #490
Answers 383 questions
The Physics of Data with Alpha Lee - #377
Answers 383 questions
Data Pipelines at Zymergen with Airflow, w/ Erin Shellman - #41
Answers 383 questions
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - 653
Answers 383 questions
Interactive Machine Learning Systems with Alekh Agarwal - #17
Answers 383 questions
Robotics at OpenAI with Jonas Schneider - #76
Answers 383 questions
Intel Nervana DevCloud with Naveen Rao & Scott Apeland - #51
Answers 383 questions
