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AI Pact: Simplifying EU AI Act compliance for enterprises

CIO Business Intelligence

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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New framework aims to keep AI safe in US critical infrastructure

CIO Business Intelligence

Representatives from each sector sit on the Artificial Intelligence Safety and Security Board , a public-private advisory committee formed by DHS Secretary Alejandro N. He said that the proposed guidelines face a number of challenges if they are to be adopted. There is definitely a lot of demand for that.”

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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.

Industry 305
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11 surefire ways to fail with AI

CIO Business Intelligence

Enterprises are investing a lot of money in artificial intelligence tools, services, and in-house strategies. Moving too quickly to deploy AI broadly Blanketing an organization with AI use cases without first testing out concepts and applications in a few select areas could result in failure.

Strategy 323
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Global AI regulations: Beyond the U.S. and Europe

CIO Business Intelligence

Second, some countries such as the United Arab Emirates (UAE) have implemented sector-specific AI requirements while allowing other sectors to follow voluntary guidelines. In particular, the UAE AI Office created an AI license requirement for applications in the Dubai International Finance Centre.

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The EU AI Act is here. Are you prepared for it?

CIO Business Intelligence

With the Digital Agenda , the European Union is creating clear and uniform rules for the responsible use of data and artificial intelligence. In addition, innovative AI applications such as driver assistance, smart navigation and predictive maintenance are being used to increase comfort and safety.

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3 steps to get your data AI ready

CIO Business Intelligence

Give up on using traditional IT for AI The ultimate goal is to have AI-ready data, which means quality and consistent data with the right structures optimized to be effectively used in AI models and to produce the desired outcomes for a given application, says Beatriz Sanz Siz, global AI sector leader at EY.

Data 307