David Drai, "The future of AI ops, Data ops, and what lies between"
AI is taking the world by storm. Many types of operations are evolving into AI-driven tasks using rich data, which is the air breathing life into this revolution. David is the CEO of Anodot, a company pioneering the AI transformation across the world’s leading companies.
David will share his vision of running proactive companies, share interesting stats and real-life use cases based on his vast experience in the field.
Видео David Drai, "The future of AI ops, Data ops, and what lies between" канала DataScienceSydney
David will share his vision of running proactive companies, share interesting stats and real-life use cases based on his vast experience in the field.
Видео David Drai, "The future of AI ops, Data ops, and what lies between" канала DataScienceSydney
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
DSS 18-08: ELAINA HYDE: "DATA SCIENCE AND MACHINE LEARNING: A PROCESS WITHIN A PROCESS"
John Hawkins on Being Bayesian.
DSS July 17: TOM OSBORN "Active Learning"
DSS Aug 17: NEJLA GHABOOSI "Generative Adversarial Networks"
DSS 1803: WILLIAM LEE: "MALICIOUS ANDROID APPLICATION DETECTION USING RECURRENT NEURAL NETWORKS"
Data Science Sydney: YANIR SEROUSSI "Ask why! Finding motives, causes, and purpose in data science"
DSS-2017-11: AHMED FATTAH Is your ML solution viable?
DR NATALIE TWINE: "Unlocking the secrets in your DNA using Machine learning and Cloud-computing"
Data Science Sydney: Daniel Marlay “Model Selection - Theory, Practice and Gotchas”
Data Science June 17 Eugene Dubossarsky - Freelance Data Science
Data Science Sydney May 2017: JAMIE HALL on "What's new at Kaggle"
Jess Wu - Automated Machine Learning
VARUN NAYYAR: "The Why, How and What of Bayesian Inference"
DSS 02.18. Sachin Abeywardana "Generative Adversarial Networks"
DSS - May18: Eugene Dubossarsky "Strategic Decision Making"
Data Science Sydney: SACHIN ABEYWARDANA "Deep Learning: Easier to Learn than you Think"
DSS-18-08: THOMAS LORIDAN: "MACHINE LEARNING AND TROPICAL CYCLONE RISK MODELING"
AMIR SALEHIPOUR: "Optimisation and decision making in practice"
Data Science Sydney: Jamie Hall “Data Science at Kaggle”
Data Science Sydney 04.17: TIMUR BEHLUL on Hierarchical Modelling