New framework aims to improve transparency and accountability in AI development and implementation The National Institute of Standards and Technology (NIST) has released Version One of its long-awaited Artificial Intelligence (AI) Risk Management Framework (RMF). After the U.S. Congress mandated NIST to take the lead in 2020, the launch of this project has been aContinue reading “NIST releases Artificial Intelligence Risk Management Framework”
Category Archives: Uncategorized
Revolutionizing Data Science: The Latest Trends in Automation, Experimentation, and Language Model Evaluation
Subscribe • Previous Issues Data Exchange Podcast 1. Evaluating Language Models. As more general-purpose models are widely used, the need for tools to help developers pick models that fit their needs and understand the models’ limitations increases. Percy Liang is Associate Professor of Computer Science and Statistics, and Director of the new Center for Research on FoundationContinue reading “Revolutionizing Data Science: The Latest Trends in Automation, Experimentation, and Language Model Evaluation”
At A Glance: Tech Industry Job Postings Drop in Q4 of 2022
Despite Downturn, Demand for MLOps and MLflow Professionals on the Rise. It’s no secret that the tech industry has been hit hard during this economic downturn, with job postings in major tech hubs across the U.S. dropping significantly in Q4. Despite this, it’s not all bad news – we saw an increase in demand forContinue reading “At A Glance: Tech Industry Job Postings Drop in Q4 of 2022”
2023 Trends And Themes: Data, Machine Learning, AI
Subscribe • Previous Issues FREE Report: 2023 Opportunities and Trends In our annual report, we’ve compiled the most important information on the cutting-edge trends in data infrastructure, machine learning, and artificial intelligence. It’s a must-read for anyone who wants to stay informed on the key issues shaping these fields. With 13 sections covering everything from the latestContinue reading “2023 Trends And Themes: Data, Machine Learning, AI”
2023 Trends Report: Data, Machine Learning, and AI
By Ben Lorica, Mikio Braun, and Jenn Webb. This annual report is a comprehensive look at the latest trends and opportunities in data, machine learning, and AI. For anyone interested in the future of AI and machine learning, this report contains 13 sections covering topics such as generative AI, large language models, data engineering andContinue reading “2023 Trends Report: Data, Machine Learning, and AI”
At A Glance: Stock Prices of Major Automakers in 2022
We plot the movement in stock prices of a few major automobile manufacturers (through 2022-12-30). Time-series were normalized to have the same starting value of 100. It’s been a tough year, particularly for Tesla: Percentage Change (end of 2021 to 2022-12-30) ranged from a slight gain of 1.7% for BMW, to a 65% decline inContinue reading “At A Glance: Stock Prices of Major Automakers in 2022”
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”
At A Glance: S&P 500 and Bitcoin
We examine the S&P 500 and the price of a Bitcoin (BTC-USD) over the last five years (since 2017-12-05). Time-series were normalized to have the same starting value of 100. It’s been a wild ride – the Bitcoin price chart is visually a rollercoaster: Bitcoin is negatively correlated with the S&P 500 (over the pastContinue reading “At A Glance: S&P 500 and Bitcoin”
We Need Efficient and Transparent Language Models
Subscribe • Previous Issues Data Exchange podcast Efficient Methods for Natural Language Processing: Roy Schwartz is Professor of NLP at The Hebrew University of Jerusalem. We discuss an important survey paper that Roy co-wrote that presented a broad overview of existing methods to improve NLP efficiency through the lens of NLP pipelines. Building a premier industrial AIContinue reading “We Need Efficient and Transparent Language Models”
Holistic Evaluation of Language Models
Stanford researchers develop tools to help understand language models in their totality. As general-purpose models become more prevalent and important, there’s a growing need for tools to help developers select what models are appropriate for their use case, and more importantly to help them understand the limitations of these models. As someone who uses theseContinue reading “Holistic Evaluation of Language Models”