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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 From Llama3.1

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’. NJ Transit.

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When is data too clean to be useful for enterprise AI?

CIO

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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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. Monday marks the company’s public beta launch to startups and small businesses.

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

Erik Bernhardsson

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. Mediocre software exists because someone wasn't able to hire better engineers, or they didn't have time, or whatever.

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

TechCrunch

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based ” The market for synthetic data is bigger than you think. .” These are ultimately organizational challenges.

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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month. Amid an intense war for top talent, companies must differentiate themselves in a global marketplace to be able to attract and retain people that deliver the most value: “ As the market for high?performing