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How AI orchestration has become more important than the models themselves

CIO

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

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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

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.

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For businesses seeking low-code fintech infrastructure options, there’s a Quiltt for that

TechCrunch

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.

Fintech 234
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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-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.

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Generative AI is a make-or-break moment for CIOs

CIO

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%. It does not allow for integration of proprietary data and offers the fewest privacy and IP protections.

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7 data trends on our radar

O'Reilly Media - Ideas

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

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.