Remove Artificial Intelligence Remove Guidelines Remove Training
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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO

The hope is to have shared guidelines and harmonized rules: few rules, clear and forward-looking, says Marco Valentini, group public affairs director at Engineering, an Italian company that is a member of the AI Pact.

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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

Like many innovative companies, Camelot looked to artificial intelligence for a solution. We noticed that many organizations struggled with interpreting and applying the intricate guidelines of the CMMC framework,” says Jacob Birmingham, VP of Product Development at Camelot Secure.

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MVP versus EVP: Is it time to introduce ethics into the agile startup model?

TechCrunch

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process. These algorithms have already been trained.

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What underscores, and undermines, a successful CIO-CEO collaboration

CIO

If it’s not there, no one will understand what we’re doing with artificial intelligence, for example.” This evolution applies to any field. I’m a systems director, but my training is of a specialist doctor with experience in data, which wouldn’t have been common a few years ago.”

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Getting the timing right at Setterwalls to invest in AI support

CIO

Summer school At the moment, everyone can familiarize themselves with the AI ​​support on their own, but during August this year was the time for mandatory training, where everyone got the basic knowledge they needed to be able to use it correctly, and how to ask questions and prompts to get exactly what’s needed.

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Cardiomatics bags $3.2M for its ECG-reading AI

TechCrunch

“Ninety percent of the data is used as a training set, and 10% for algorithm validation and testing. We shouldn’t forget that algorithms are also trained on the data generated by cardiologists. ” As clinical guidelines shift, heart disease screening startup pulls in $43M Series B.