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3 steps to get your data AI ready

CIO

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.

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EU taps AI experts to develop compliance framework for AI regulations

CIO

They will oversee four working groups, each focusing on different aspects of AI governance — transparency and copyright, risk identification and assessment, technical risk mitigation, and internal risk management for general-purpose AI providers. The code will outline exactly how companies can comply with the broad set of regulations.

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New trade body wants to license training data for AI use

CIO

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property. The situation could become even more complex for multinational companies.

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3 things to get right with data management for gen AI projects

CIO

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

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Tencent Cloud partners with S.M.A.R.T Entrepreneurship Club to build smart businesses with AI Digital Human solution

CIO

At the recent 2024 Tencent Global Digital Ecosystem Summit, Tencent Cloud, the cloud business of the global leading technology company Tencent, announced a strategic partnership with the S.M.A.R.T It also assists brands in building differentiated intellectual property (IP) and making products more appealing.

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How to make the most of global talent opportunities

CIO

This article was co-written by Chris Davis, Partner, Metis Strategy , and Kelley Dougherty, Associate, Metis Strategy To succeed as a large, global company, there is no choice but to harness the power of technology talent around the world. Fast forward to today.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. However, global policies entail specific regulations for every company to identify sensitive data and monitor all surrounding activities.

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