Cloudera
OCTOBER 20, 2021
As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;
O'Reilly on Data
OCTOBER 30, 2023
While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. These include: What data sources the model is trained on. Operational Metrics.
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O'Reilly on Data
NOVEMBER 13, 2018
Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.
O'Reilly on Data
JUNE 14, 2024
Generative AI models are trained on large repositories of information and media. They are then able to take in prompts and produce outputs based on the statistical weights of the pretrained models of those corpora. The platform required a more effective way to connect learners directly to the key information that they sought.
Cloudera
SEPTEMBER 20, 2022
This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Introduction. Scope, motivation, and benefits.
FineReport
DECEMBER 11, 2019
Then these books, I think you must read. The author is known as “the prophet of the big data era”, this book is the first of its kind in the study of big data systems. Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. From Google. About thinking.
Cloudera
FEBRUARY 4, 2021
Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform.
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