Data Engineering Development Off-The-Shelf 
CIO
DECEMBER 10, 2024
to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases. to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases. From Llama3.1
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
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TechCrunch
JULY 11, 2022
Quiltt is wrapping its warm low-code fintech infrastructure blanket around startups and small businesses that want to create financial services for their customers, but don’t have the budget resources for a big engineering team. So they got started building the version of Quiltt that exists today.
Erik Bernhardsson
DECEMBER 15, 2020
It's a popular attitude among developers to rant about our tools and how broken things are. I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Today it's 15 minutes using Stripe.
TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. ” The market for synthetic data is bigger than you think.
CIO
AUGUST 7, 2023
Hardly a day goes by without some new business-busting development on generative AI surfacing in the media. And, in fact, McKinsey research argues the future could indeed be dazzling, with gen AI improving productivity in customer support by up to 40%, in software engineering by 20% to 30%, and in marketing by 10%.
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
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