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What LinkedIn learned leveraging LLMs for its billion users

CIO Business Intelligence

For LinkedIn, this was no different, as its road to LLM insights was anything but smooth, said LinkedIn’s Juan Bottaro, a principal software engineer and tech lead. We spent a lot of time with linguists to make guidelines about how to deliver a thorough representation. The initial deliverables “felt lacking,” Bottaro said.

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Chief AI officers in demand as IT leaders expect gen AI productivity boost, survey finds

CIO Business Intelligence

As for software development, where gen AI is expected to have an impact via prompt engineering, among other uses, 21% are using it in conjunction with code development and 41% expect to within a year. Software vendors have been busy infusing generative AI into their products.

Survey 132
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My Advice to Engineering Undergraduate Students - Social, Agile.

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 My Advice to Engineering Undergraduate Students. 1) Follow your passion - Engineering school is hard.

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SAP takes steps toward ‘green ledger’ for carbon accounting

CIO Business Intelligence

“SAP is addressing both of those by working with organizations like the World Business Council for Sustainable Development,” McComb said. WBCSD is the organization behind the Partnership for Carbon Transparency (PACT) , which sets guidelines for accounting for product-level carbon emissions and exchanging the data.

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Microsoft gives developers a new method for estimating quantum computing needs

GeekWire

The tool is already guiding the company’s effort to develop full-stack quantum computers, and now it can also help outside developers figure out how much computing power they’ll need to execute a given quantum algorithm in a reasonable amount of time. “That’s a really long time to wait. .”

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10 key roles for AI success

CIO Business Intelligence

An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. ML engineer. Data scientists may build the ML models, but its ML engineers who implement them. An ML engineer is also involved with validation of models, A/B testing, and monitoring in production.”.

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Should You Build in-house or Outsource Development of Your Mobile Apps?

CTOvision

It is simply like a website or any other critical software development – if those are in-house then mobile apps should also definitely be in-house. Pick a person, ideally in a senior position – maybe a Solutions Architect or a very Senior Software Developer who wants to add to his or her skillset.

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