While some may think of cheesy job postings or the cutthroat market when they think of LinkedIn, the networking site has also become an unexpected oasis for young people—and a place where artificial intelligence has long been welcomed.

IT Brew caught up with Juan Bottaro, a principal staff software engineer at LinkedIn in Madrid, Spain, to discuss AI features, booted projects, and challenges he and his team faced when tapping into generative AI.

Many people use LinkedIn for networking or for job searching. What made you want to incorporate AI into the platform?

“First of all, I think the term ‘AI’ is—it’s too hard to really put your finger on exactly what it means nowadays,” he said. “But I can tell you, LinkedIn has been doing AI-related work—in particular, machine learning—for more than a decade.”

“When you go to LinkedIn, and you…see your feed—the way that we decide what goes first, second, etcetera—it’s all using AI and machine learning,” Bottaro added. “The same way when we decide what notification to send you, or which people to recommend to you [for connections].”

Read more here.—AF

Do you work in IT or have information about your IT department you want to share? Email [email protected].

At this point, we all know about AI’s role in generative tech…but what about how it’s growing? AI automation still has sooo much potential, especially in process orchestration.

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Liquid cooling is poised to break out of niche status in the data center within the next few years, according to a The Register survey of IT pros.

While just 20.1% of 812 survey respondents reported using some form of liquid cooling in early 2024, the number of those who expect to by 2026 is nearly double, at 38.3%.

Respondents viewed liquid cooling as helpful for high-performance computing and dense server configurations (64.4% and 60.6%, respectively), with only 46.2% saying it was beneficial for AI workloads.

Liquid cooling is much more efficient than air cooling, albeit more expensive. But introducing liquids to an IT environment comes with inherent, if manageable, risks. As The Register noted, liquid cooling has largely been used in supercomputing cabinets to date, although the most powerful new AI chipsets already require it as well.

Rolf Brink, founder and CEO of cooling advisory Promersion, told IT Brew that liquid cooling is in such limited enterprise use today that doubling its implementation would be “fairly meaningless.” More important, he said, is that new hardware requirements will force rapid adoption.

Read more here.—TM

Do you work in IT or have information about your IT department you want to share? Email [email protected]. Want to go encrypted? Ask Tom for his Signal.

Seek approval from others!

That’s lousy life-coach advice, generally speaking, but a helpful safeguard in the IT space, especially when someone on the team wants to perform a sensitive admin action like disabling multi-factor authentication.

That’s why Google is adding a multi-party approval, or MPA, function to its Workspace platform, in an effort to slow down (and secure) the deployment of far-reaching IT decisions.

Multiparty-verse! With its MPA feature, announced on April 9 and available for Workspace customers with multiple super admin accounts, Google offers a “you sure about that?”-style check when an IT pro wants to perform one of the following actions:

• Two-step verification
• Account recovery
• Advanced Protection
• Google session control
• Login challenges

“We typically see products support multi-party approvers in change management and change control workflows, but integrating the additional level of protection directly into the administrative console is more unique,” Forrester Principal Analyst Geoff Cairns wrote in an email to IT Brew.

Keep reading here.—BH

Do you work in IT or have information about your IT department you want to share? Email [email protected].

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