Banking Compliance Off-The-Shelf 
TechCrunch
MAY 24, 2022
Fresh off a $100 million funding round , Hugging Face, which provides hosted AI services and a community-driven portal for AI tools and data sets, today announced a new product in collaboration with Microsoft. ” “The mission of Hugging Face is to democratize good machine learning,” Delangue said in a press release.
TechCrunch
MARCH 15, 2021
It plans to use the funding to bring the tools it has already built to a wider set of verticals that have some of the same needs to manage risk, compliance and other factors as finance — healthcare and manufacturing are two examples — as well as to continue building more into the stack. .
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TechCrunch
JULY 13, 2022
Customer success tools don’t communicate with engineering tools, he argues, while engineering tools don’t play well with governance, risk, and compliance platforms — resulting in few decision-makers seeing the impact of failure in one place. . It’s Incident.io There might be something to Whitworth’s argument.
CIO
DECEMBER 7, 2023
In fact, our team has been working with generative and conversational AI in complex professional services applications like insurance, banking, and healthcare for the better part of a decade, and we’ve learned some important lessons along the way. Where will the biggest transformation occur first?
O'Reilly Media - Data
MARCH 22, 2018
There is also a trade off in balancing a model’s interpretability and its performance. In fact, the ability to account for the fairness and transparency of these predictive models has been mandated for legal compliance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
O'Reilly Media - Ideas
JULY 15, 2019
This is consistent with something ML developers have long known: models built and trained for a specific application are seldom (off-the-shelf) usable in other settings. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI? credit scores ). Image by Ben Lorica.
CIO
JULY 24, 2024
The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.
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