Our Top Book Pick for 2022

Subscribe • Previous Issues Data Science in Context Our book of the year is a collaboration between a team of highly regarded experts in the fields of AI and data science. This book provides a comprehensive overview of what students and practitioners need to know to use data science more effectively and ethically. Filled with practical, real-worldContinue reading “Our Top Book Pick for 2022”

DALL·E 2 Decoded

Subscribe • Previous Issues Guide to Data Annotation and Synthetic Data We recently examined the landscape of tools for building training datasets – specifically tools for data annotation and synthetic data generation.  Taking into account emerging trends in machine learning and artificial intelligence, we assembled guidelines to help you navigate the explosion of tools in these areas.Continue reading “DALL·E 2 Decoded”

Experimentation Tools; Surge in MLOps; 2021 Books

Subscribe • Previous Issues Data Exchange podcast Modern Experimentation Platforms:  Che Sharma is the founder and CEO of Eppo, an experimentation framework that integrates with modern data platforms (lakehouses and cloud data warehouses). Investors and engineers have created an abundance of companies that specialize in ML infrastructure and MLOps, while applications like experimentation have received little attention.Continue reading “Experimentation Tools; Surge in MLOps; 2021 Books”

Trends to Watch in 2021 and Best Books of 2020

Subscribe • Previous Issues This edition has 363 words which will take you about 2 minutes to read. “A wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” – Herbert Simon. Data Exchange podcast Key AI and Data Trends forContinue reading “Trends to Watch in 2021 and Best Books of 2020”