Remove 2007 Remove Open Source Remove Weak Development Team
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Are you ready for MLOps? 🫵

Xebia

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. … that is not an awful lot.

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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

We currently have cloud vendors that offer end-to-end solutions from the developer experience down to the hardware: What if cloud vendors focus on the lowest layer, and other (pure software) vendors on the layer above? Margins aren't so bad and vendor lock-in is still pretty high. Maybe owning the lowest layer isn't so bad?

Cloud 351
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Attending Oracle’s CodeOne? Here Are 15 Sessions Everyone Will Be Talking About

OverOps

He’s going to be talking about code quality in open source projects and identifying problems in the code. Hiding in Plain Sight: Real Problems Lurking in Open Source Projects [DEV6066]*. Is Boilerplate Code Really So Bad? Venkat Subramaniam , President, Agile Developer, Inc. in Moscone West, Room 2016.

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Open Source Business Model

SoCal CTO

However, there are lots of companies that are making money from open source and freemium models. A friend of mine has a company that builds open source applications in spaces that are a bit less innovative than Elgg, but they do very well financially through the packaging and support models.

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Time Rich, Time Poor and Apple

SoCal CTO

skip to main | skip to sidebar SoCal CTO Tuesday, March 20, 2007 Time Rich, Time Poor and Apple Jeremy Liew at Lightspeed Venture Partners has an interesting post: Time Rich or Time Poor? In it he separates web consumers into: Time Rich (more time than money) and Time Poor (more money than time).

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LexisNexis rises to the generative AI challenge

CIO

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes.

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Boston offers a world of advantages for startup founders

TechCrunch

Over time the Boston area watched the development of a robust technology startup ecosystem across industries like cybersecurity, robotics and biotech with companies like Hubspot, Wayfair, Rapid7, Boston Dynamics and Moderna, to name but a few. By the time the new century came around the area began to shift to look like a modern startup scene.